Hello,
The IRISA lab of University Rennes invites applications for the attached
postdoctoral position.
*Job title: *postdoc 24 months, starting January 2024
*Project*: MeKaNo (ANR), 2023-2026
*Research Lab*: IRISA, Rennes, France
*Team*: LACODAM
*Contact*: ferre(a)irisa.fr, peggy.cellier(a)irisa.fr
*Keywords*: semantic web, knowledge graphs, query languages, microdata,
user interaction
*Context and Objectives*:
In MeKaNo, we aim to search the web with "Things" (entities), in order
to get more accurate results over a wide diversity of sources.
Traditional web search engines search the web with strings. However,
keyword search often returns many irrelevant documents, pushing users to
refine their keyword list following a trial-and-error process. On the
other hand, Knowledge Graphs (KG) like Wikidata [1] enable users to
search for Things and facts, and to get exact answers. However, there
may exist many answers on the web that are not part of the knowledge
graph. Moreover, nowadays, many websites include entities and facts in
the form of microdata [2], for which there is no query engine so far. In
MeKaNo, we aim at combining the querying of knowledge graphs and
microdata together in order to reconcile the accuracy of KG querying,
and the diversity of web search.
To search the web with Things, we face several scientific challenges.
Among them, an important one is the definition of a query language that
combines knowledge graph querying, web search, and microdata querying.
Another challenge is to assist users in the building of such complex
queries [3]. We already have an approach (Sparklis [4]) that assists
users in knowledge graph querying. The objective of the postdoc is to
extend this approach to include web search and microdata querying.
*Requirements*:
The candidate must hold a Ph.D in Computer Science, preferably in the
field of the Semantic Web. Skills in query languages (SPARQL), language
design, web programming are a plus.
*Application method:*
To apply send an email to sebastien.ferre(a)irisa.fr and
peggy.cellier(a)irisa.fr with attached a single PDF containing:
*
Cover letter in which you describe your motivation and
qualifications for the position.
*
Curriculum vitae, including a list of your publications and the
contact information of references.
*References*:
1.
Vrandečić, D., & Krötzsch, M. (2014). Wikidata: a free collaborative
knowledgebase. Communications of the ACM, 57(10), 78-85.
2.
Meusel, Robert, Christian Bizer, and Heiko Paulheim (2015). "A
web-scale study of the adoption and evolution of the schema. org
vocabulary over time."Int. Conf. on Web Intelligence, Mining and
Semantics.
3.
G. Marchionini. Exploratory search: from finding to understanding.
Communications of the ACM, 49(4):41–46, 2006.
4.
Sébastien Ferré. "Sparklis: an expressive query builder for SPARQL
endpoints with guidance in natural language." Semantic Web 8.3
(2017): 405-418.
*Call for Papers*
—----------------
13th International Symposium on Foundations of Information and Knowledge Systems – FoIKS 2024
https://foiks2024.github.io/
Abstract submission deadline: 24.11.2023
Paper submission deadline: 01.12.2023
The FoIKS symposia provide a biennial forum for presenting and discussing theoretical and applied research on information and knowledge systems. The goal is to bring together researchers with an interest in this subject, share research experiences, promote collaboration and identify new issues and directions for future research.
FoIKS 2024 solicits original contributions (as well as extensions of previously published contributions) dealing with any foundational aspect of information and knowledge systems. This includes submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, information theory, (parameterized) complexity theory, algorithmics and computation, statistics, and optimisation, among, of course, many others.
The FoIKS symposia are a forum for intensive discussions. Speakers will be given sufficient time to present their ideas and results within the larger context of their research. Furthermore, participants will be asked to prepare a first response to another contribution in order to initiate discussion.
Suggested topics
—---------------
The suggested topics include, but are not limited to:
* Database Design: Formal models, dependencies and independencies
* Big Data: Models for data in the Cloud, programming languages for big data, query processing
* Dynamics of Information: Models of transactions, concurrency control, updates, consistency preservation, belief revision
* Information Fusion: Heterogeneity, views, schema dominance, multiple source information merging, reasoning under inconsistency
* Integrity and Constraint Management: Verification, validation, consistent query answering, information cleaning
* Intelligent Agents: Multi-agent systems, autonomous agents, foundations of software agents, cooperative agents, formal models of interactions, negotiations and dialogue, logical models of emotions
* Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, text mining, information extraction
* Knowledge Representation, Reasoning and Planning: Non-monotonic formalisms, probabilistic and non-probabilistic models of uncertainty, graphical models and independence, similarity-based reasoning, preference modeling and handling, computational models of argument, argumentation systems
* Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, probability logic, fuzzy logic
* Mathematical Foundations: Discrete structures and algorithms, graphs, grammars, automata, abstract machines, finite model theory, information theory, coding theory, (parameterised) complexity theory, randomness
* Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management
* Semi-Structured Data and XML: Data modelling, data processing, data compression, data exchange
* Social Computing: Collective intelligence and self-organizing knowledge, collaborative filtering, computational social choice, Boolean games, coalition formation, reputation systems
* The Semantic Web and Knowledge Management: Languages, ontologies, agents, adaption, intelligent algorithms, ontology-based data access
* The WWW: Models of Web databases, Web dynamics, Web services, Web transactions and negotiations, Social Networks, Web Mining
Invited Speakers
—---------------
* Georg Gottlob, University of Oxford
* Phokion Kolaitis, University of California Santa Cruz and IBM Research
* Andrei Popescu, University of Sheffield
* Uli Sattler, University of Manchester
Important Dates
—--------------
All deadlines are at 23:59 UTC-12 (AoE, "anywhere on earth").
Submission server opens 01.09.2023
Abstract submission deadline (long and short papers) 24.11.2023
Paper submission deadline (long and short papers) 01.12.2023
Acceptance notifications 29.01.2024
Camera-ready versions of accepted papers due 08.02.2024
Early registration deadline 08.03.2024
Late registration deadline 01.04.2024
Conference 8–11.04.2024
Submission Guidelines
—--------------------
For long papers, the page limit is 16 plus additional pages of references. For short papers, the maximum number of pages is 10 plus additional pages of references. All papers must be original and not simultaneously submitted to another journal or conference. Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… and https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…). Submissions that deviate substantially from these guidelines may be rejected without review. Initial submissions must be in PDF format, but authors should keep in mind that the LaTeX2e source must be submitted for the final versions of accepted papers. Submissions in alternate formats, such as Microsoft Word, cannot be accepted for either initial or final versions. The submissions will be judged for scientific quality and for suitability as a basis for broader discussion.
Submission is via the EasyChair link https://easychair.org/conferences/?conf=foiks24.
Publication
—----------
The proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2024 special issue in the journal Knowledge Engineering Review (https://www.cambridge.org/core/journals/knowledge-engineering-review). Further details will be provided on the conference website.
Program Committee Chairs
—-----------------------
Arne Meier
Leibniz Universität Hannover, Germany
Magdalena Ortiz
TU Wien, Austria and Umeå University, Sweden
Local Chair
—----------
Jonni Virtema
University of Sheffield, UK
Contact
—------
All questions about submissions should be emailed to foiks24(a)easychair.org.
https://foiks2024.github.io/
_________________________
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
TU Dresden
GERMANY
*Call for Papers*
—----------------
13th International Symposium on Foundations of Information and Knowledge Systems – FoIKS 2024
https://foiks2024.github.io/
Abstract submission deadline: 24.11.2023
Paper submission deadline: 01.12.2023
The FoIKS symposia provide a biennial forum for presenting and discussing theoretical and applied research on information and knowledge systems. The goal is to bring together researchers with an interest in this subject, share research experiences, promote collaboration and identify new issues and directions for future research.
FoIKS 2024 solicits original contributions (as well as extensions of previously published contributions) dealing with any foundational aspect of information and knowledge systems. This includes submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, information theory, (parameterized) complexity theory, algorithmics and computation, statistics, and optimisation, among, of course, many others.
The FoIKS symposia are a forum for intensive discussions. Speakers will be given sufficient time to present their ideas and results within the larger context of their research. Furthermore, participants will be asked to prepare a first response to another contribution in order to initiate discussion.
Suggested topics
—---------------
The suggested topics include, but are not limited to:
* Database Design: Formal models, dependencies and independencies
* Big Data: Models for data in the Cloud, programming languages for big data, query processing
* Dynamics of Information: Models of transactions, concurrency control, updates, consistency preservation, belief revision
* Information Fusion: Heterogeneity, views, schema dominance, multiple source information merging, reasoning under inconsistency
* Integrity and Constraint Management: Verification, validation, consistent query answering, information cleaning
* Intelligent Agents: Multi-agent systems, autonomous agents, foundations of software agents, cooperative agents, formal models of interactions, negotiations and dialogue, logical models of emotions
* Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, text mining, information extraction
* Knowledge Representation, Reasoning and Planning: Non-monotonic formalisms, probabilistic and non-probabilistic models of uncertainty, graphical models and independence, similarity-based reasoning, preference modeling and handling, computational models of argument, argumentation systems
* Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, probability logic, fuzzy logic
* Mathematical Foundations: Discrete structures and algorithms, graphs, grammars, automata, abstract machines, finite model theory, information theory, coding theory, (parameterised) complexity theory, randomness
* Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management
* Semi-Structured Data and XML: Data modelling, data processing, data compression, data exchange
* Social Computing: Collective intelligence and self-organizing knowledge, collaborative filtering, computational social choice, Boolean games, coalition formation, reputation systems
* The Semantic Web and Knowledge Management: Languages, ontologies, agents, adaption, intelligent algorithms, ontology-based data access
* The WWW: Models of Web databases, Web dynamics, Web services, Web transactions and negotiations, Social Networks, Web Mining
Invited Speakers
—---------------
* Georg Gottlob, University of Oxford
* Phokion Kolaitis, University of California Santa Cruz and IBM Research
* Andrei Popescu, University of Sheffield
* Uli Sattler, University of Manchester
Important Dates
—--------------
All deadlines are at 23:59 UTC-12 (AoE, "anywhere on earth").
Submission server opens 01.09.2023
Abstract submission deadline (long and short papers) 24.11.2023
Paper submission deadline (long and short papers) 01.12.2023
Acceptance notifications 29.01.2024
Camera-ready versions of accepted papers due 08.02.2024
Early registration deadline 08.03.2024
Late registration deadline 01.04.2024
Conference 8–11.04.2024
Submission Guidelines
—--------------------
For long papers, the page limit is 16 plus additional pages of references. For short papers, the maximum number of pages is 10 plus additional pages of references. All papers must be original and not simultaneously submitted to another journal or conference. Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… and https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…). Submissions that deviate substantially from these guidelines may be rejected without review. Initial submissions must be in PDF format, but authors should keep in mind that the LaTeX2e source must be submitted for the final versions of accepted papers. Submissions in alternate formats, such as Microsoft Word, cannot be accepted for either initial or final versions. The submissions will be judged for scientific quality and for suitability as a basis for broader discussion.
Submission is via the EasyChair link https://easychair.org/conferences/?conf=foiks24.
Publication
—----------
The proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2024 special issue in the journal Knowledge Engineering Review (https://www.cambridge.org/core/journals/knowledge-engineering-review). Further details will be provided on the conference website.
Program Committee Chairs
—-----------------------
Arne Meier
Leibniz Universität Hannover, Germany
Magdalena Ortiz
TU Wien, Austria and Umeå University, Sweden
Local Chair
—----------
Jonni Virtema
University of Sheffield, UK
Contact
—------
All questions about submissions should be emailed to foiks24(a)easychair.org.
https://foiks2024.github.io/
_________________________
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
TU Dresden
GERMANY
===== Call for Participation to online FOIS 2023 conference, showcases and demos =====
Program: https://fois2023.griis.ca/online-conference/
Registration: https://event.fourwaves.com/fr/fois2023/inscription
(free registration for students)
====================================================================================
13th International Conference on Formal Ontology in Information Systems (FOIS 2023)
September 18-20, 2023 (Online)
Definition and scope
====================
The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web.
FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology.
Program
====================
Monday September, 18th
EDT (UTC -4) CEST (UTC +2)
08:15-08:30 14:15-14:30 FOIS online Welcome Zoom
08:30-10:30 14:30-16:30 Session 1: Foundational concepts (Chair: Laure Vieu) Zoom
10:30-11:00 16:30-17:00 Coffee break gather.town
11:00-12:00 17:00-18:00 Ontology showcases and demos gather.town
Tuesday September, 19th
08:30-09:00 14:30-15:00 Invited talks special session (TBC) Zoom
09:00-10:30 15:00-16:30 Session 2: Methodological issues (Chair: TBA) Zoom
10:30-11:00 16:30-17:00 Coffee break gather.town
11:00-12:00 17:00-18:00 ESAO panel Zoom
Wednesday September, 20th
09:00-10:30 15:00-16:30 Session 3: Domain ontologies (Chair: TBA) Zoom
10:30-11:00 16:30-17:00 Coffee break gather.town
11:00-12:00 17:00-18:00 IAOA General Assembly Zoom
12:00-12:15 18:00-18:15 Closing Zoom
Details: https://fois2023.griis.ca/onlinesession/
Registration fees
====================
Online presenter: 500 CAN / 340 EUR
Listener - regular fee (academia or industry): 100 CAN / 70 EUR
Listener - reduced fee (student or participant from less developed country): free
More information: https://fois2023.griis.ca/registration/
Conference Organization
=======================
General Chair: Antony Galton, University of Exeter, UK
PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France
Torsten Hahmann, University of Maine, USA
Local Organization Chair: Jean-François Ethier, University of Sherbrooke, Canada
Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France
Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK
Tiago Prince Sales, University of Twente, Netherlands
Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany
Selja Seppälä, University College Cork, Ireland
Organization: https://fois2023.griis.ca/conference-organization/
_________________________
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
TU Dresden
GERMANY
***** 1st CALL FOR PAPERS*****:
First international workshop on
*Ordinal Methods for Knowledge Representation and Capture (OrMeKR)*
in conjunction with
*The Twelfth International Conference on Knowledge Capture (K-CAP 2023)*
December 5th, 2023, Pensacola, Florida, USA
*Submission Deadline: October 15th, 2023*
1.1 Abstract and Scope:
───────────────────────
The concept of order (i.e., partial ordered sets) is predominant for perceiving
and organizing our physical and social environment, for inferring meaning and
explanation from observation, and for searching and rectifying decisions.
Compared to metric methods, however, the number of (purely) ordinal methods for
capturing knowledge from data is rather small, although in principle they may
allow for more comprehensible explanations. The reason for this could be the
limited availability of computing resources in the last century, which would
have been required for (purely) ordinal computations. Hence, typically
relational and especially ordinal data are first embedded in metric spaces for
learning. Therefore, in this workshop we want to collect and discuss ordinal
methods for capturing and representing knowledge, their role in inference and
explainability, and their possibilities for knowledge visualization and
communication. We want to reflect on these topics in a broad sense, i.e., as a
tool to arrange, compare and compute ontologies or concept hierarchies, as a
feature in learning and capturing knowledge, and as a measure to evaluate model
performance.
1.2 Topics of Interest
──────────────────────
• Ordinal Aspects for Knowledge Representation and Knowledge Bases
• Knowledge Visualization using Order Relations
• Ordinal Representation and Analysis of Ontologies
• Data Fidelity and Reliability of Ordinal Methods
• Theory and Application of Order Dimension and Related Notions
• Ordinal Knowledge Spaces and Ordinal Exploration
• Scaling and Processing Ordinal Information
• Metric Structures in Order Relations
• Algorithms for querying Large Ordinal Data
• Knowledge Discovery in metric-ordinal Heterogeneous Representation
• Ordinal Pattern Structures and Motifs
• Methods for Representation Learning of Order Relations
• Drawing of Hierarchical Graphs and Knowledge Structures
• Non-Linear Ranking in Recommendation Applications
• Linear Ordered Knowledge and Learning
• Scheduling and Planning
• Applications of Ordinal Methods to Scientific Knowledge (e.g., from domains
such as Biology, Physics, Social Sciences, Digital Humanities, etc.)
• Methodologically Related Fields such as Directed Graphs, Formal
Concept Analysis, Conceptual Structures, Relational Data,
Recommendation, Lattice Theory, with a Clear Reference to Order
Relations and Knowledge
1.3 Important Dates (all dates are AoE)
───────────────────────────────────────
• Submission: October 15, 2023
• Author Notification: October 29, 2023
• Camera Ready: November 12, 2023
1.4 Submission Guidlines and Conditions
───────────────────────────────────────
OrMeKR will focus on contributions to the theory and application of
ordinal methods in the realm of knowledge representation and
capture. The workshop welcomes *report papers* (summaries of past work
concerning ordinal methods), *research papers* (novel results),
*position papers* (discussing issues concerning the usefulness of
ordinal methods in KR), and *challenge papers* (describing limitations
and open research questions).
• Submissions should have a minimum of 5 pages and shall not exceed 8
pages.
• Submission must use the provided CEUR Template:
<https://www.kde.cs.uni-kassel.de/ormekr2023/ceur.zip>
• The workshop is not double-blind, hence authors should list their
names and affiliations on the submission.
• Accepted Papers will be published in CEUR Workshop Proceedings
corresponding to K-CAP.
• Authors of accepted workshop papers will present their work in
plenary sessions during the workshop on December 5th.
• Submissions should be emailed to: *[ormekr2023(a)cs.uni-kassel.de]*
1.5 Organizing Committee
────────────────────────
• Tom Hanika
⁃ Institute for Computer Science, University of Hildesheim, Germany
⁃ Berlin School of Library and Information Science,
Humboldt-Universität zu Berlin, Germany
• Dominik Dürrschnabel
⁃ Knowledge & Data Engineering Group, University of Kassel, Germany
• Johannes Hirth
⁃ Knowledge & Data Engineering Group, University of Kassel, Germany
1.6 Program Committee
─────────────────────
• Agnès Braud, Université de Strasbourg, France
• Diana Christea, Babes-Bolyai University, Romania
• Pablo Cordero, University of Malaga, Spain
• Bernhard Ganter, TU Dresden, Germany
• Rokia Missaoui, University of Quebec in Outaouais, Canada
• Robert Jäschke, Humboldt-Universität zu Berlin, Germany
• Giacomo Kahn, Université Lumière Lyon 2, France
• Léonard Kwuida, Bern University of Applied Sciences, Switzerland
• Sebastian Rudolph, TU Dresden, Germany
• Gerd Stumme, University of Kassel, Germany
• Francisco J. Valverde-Albacete, Universidad Rey Juan Carlos, Spain
(apologies for cross-posting)
Final Call for Papers
Foundations of Computational Intelligence (FOCI 2023)
The 2023 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2023) will take place as part of the IEEE Symposium Series on Computational Intelligence (SSCI 2023), which is a flagship annual meeting organized by the IEEE Computational Intelligence Society. It serves as a primary forum for multidisciplinary research in computational intelligence. SSCI 2023 will be held in Mexico City from December 5th to 8th, 2023. The conference proceedings of the SSCI 2023 will be included in the IEEE Xplore and indexed by all major databases.
IEEE FOCI’23 provides an ideal forum for those who are interested in the foundational issues of computational intelligence to exchange their ideas and present their latest findings. Participants of FOCI’23 will also benefit from the interaction at one location with the participants of several other symposia running concurrently at IEEE SSCI 2023, each highlighting various aspects of computational intelligence. As a whole, this international event will attract top researchers, practitioners, and students from around the world to discuss the latest advances in the field of computational intelligence.
Topics
1. Fuzzy Logic: Non-standard fuzzy sets; Granular computing; Computing with words; Aggregation/fusion; Fuzzy sets and statistics; Uncertainty; Decision-making; General theoretical issues; Generalisation in neural, fuzzy and evolutionary learning; Fuzzy logic and fuzzy set theory; Lattice theory and multi-valued logic; Approximate reasoning; Type-2 fuzzy logic; Rough sets and random sets; Fuzzy mathematics; Fuzzy measure and integral; Possibility theory and imprecise probability
2. Neural Networks and other machine learning techniques: Neural computation; Self-organizing maps; Recurrent networks; Multilayer perceptrons; Deep Learning, convolutional neural networks, GANs.; Autoencoders; Evolutionary neural networks; Neural networks for pattern recognition; Neural netwoks for prediction and optimization; Neural networks for principal component analysis; General regression neural networks; Neural networks as/and fuzzy systems; Radial basis functions; Learning theory; Reinforcement learning; Generalization in neural networks
3. Evolutionary Computation: Theoretical foundations of bio-inspired heuristics; Exact and approximation runtime analysis; Fixed budget computations; Black box complexity; Self-adaptation; Population dynamics; Fitness landscape and problem difficulty analysis; No Free Lunch Theorems; Statistical approaches for understanding the behaviour of bio-inspired heuristics; Computational studies of a foundational nature
4. All bio-inspired search heuristics will be considered for all problem domains including: Combinatorial and continuous optimization; Single-objective and multi-objective optimization; Constraint handling; Dynamic and stochastic optimization; Co-evolution and evolutionary learning
Paper submission
Each paper should be between 4 and 6 pages, inclusive of figures, tables, and references. All papers must be submitted using the IEEE conference template, found at https://www.ieee.org/conferences/publishing/templates.html
To submit your paper, click on “Submit a contribution to SSCI 2023” in https://conf.papercept.net/conferences/scripts/start.pl
(requires registration) using the symposium code FOCI.
In addition, SSCI 2023 offers a “Presentation-Only” option, which requires a two-page abstract. Accepted submissions will be presented orally at the conference and listed in the final program, but will not be available in IEEE Xplore.
For more details, please follow the instructions at
https://attend.ieee.org/ssci-2023/paper-submission/
Important dates
Paper Submissions: July 31, 2023 (no further extensions!)
Paper Acceptance: August 31, 2023
Camera-ready Paper: September 20, 2023
Early Registration: September 20, 2023
Conference dates: December 5-8, 2023
Symposium Chairs
Domingo López-Rodríguez, University of Malaga, Spain
Leonardo Franco, University of Florida, USA
Chao Qian, Nanjing University, China
The 18th International Workshop on ONTOLOGY MATCHING (OM-2023)
http://om2023.ontologymatching.org/
November 6th or 7th, 2023,
International Semantic Web Conference (ISWC) Workshop Program, Athens, Greece
BRIEF DESCRIPTION AND OBJECTIVES
Ontology matching is a key interoperability enabler for the Semantic Web,
as well as a useful technique in some classical data integration tasks
dealing with the semantic heterogeneity problem. It takes ontologies
as input and determines as output an alignment, that is, a set of
correspondences between the semantically related entities of those
ontologies.
These correspondences can be used for various tasks, such as ontology
merging, data interlinking, query answering or navigation over knowledge
graphs.
Thus, matching ontologies enables the knowledge and data expressed
with the matched ontologies to interoperate.
The workshop has three goals:
1.
To bring together leaders from academia, industry and user institutions
to assess how academic advances are addressing real-world requirements.
The workshop will strive to improve academic awareness of industrial
and final user needs, and therefore, direct research towards those needs.
Simultaneously, the workshop will serve to inform industry and user
representatives about existing research efforts that may meet their
requirements. The workshop will also investigate how the ontology
matching technology is going to evolve, especially with respect to
data interlinking, knowledge graph and web table matching tasks.
2.
To conduct an extensive and rigorous evaluation of ontology matching
and instance matching (link discovery) approaches through
the OAEI (Ontology Alignment Evaluation Initiative) 2023 campaign:
http://oaei.ontologymatching.org/2023/
3.
To examine similarities and differences from other, old, new and emerging,
techniques and usages, such as web table matching or knowledge embeddings.
TOPICS of interest include but are not limited to:
Business and use cases for matching (e.g., big, open, closed data);
Requirements to matching from specific application scenarios;
Formal foundations and frameworks for matching;
Novel matching methods, including link prediction, ontology-based
access;
Matching and knowledge graphs;
Matching and deep learning;
Matching and embeddings;
Matching and big data;
Matching and linked data;
Instance matching, data interlinking and relations between them;
Privacy-aware matching;
Process model matching;
Large-scale and efficient matching techniques;
Matcher selection, combination and tuning;
User involvement (including both technical and organizational aspects);
Explanations in matching;
Social and collaborative matching;
Uncertainty in matching;
Expressive alignments;
Reasoning with alignments;
Alignment coherence and debugging;
Alignment management;
Matching for traditional applications (e.g., data science);
Matching for emerging applications (e.g., web tables, knowledge graphs).
SUBMISSIONS
Contributions to the workshop can be made in terms of technical papers and
posters/statements of interest addressing different issues of ontology
matching
as well as participating in the OAEI 2023 campaign. Long technical papers
should
be of max. 12 pages. Short technical papers should be of max. 6 pages.
Posters/statements of interest should not exceed 3 pages.
All contributions have to be prepared using the CEUR-ART, 1-column style.
Overleaf page for LaTeX users is available at
https://www.overleaf.com/read/gwhxnqcghhdt,
while offline version with the style files is available from
http://ceur-ws.org/Vol-XXX/CEURART.zip.
Submissions should be uploaded in PDF format
through the workshop submission site at:
https://www.easychair.org/conferences/?conf=om2023
Contributors to the OAEI 2023 campaign have to follow the campaign
conditions
and schedule at http://oaei.ontologymatching.org/2023/.
DATES FOR TECHNICAL PAPERS AND POSTERS:
July 31st, 2023: Deadline for the submission of papers.
August 28th, 2023: Deadline for the notification of
acceptance/rejection.
September 4th, 2023: Workshop camera ready copy submission.
November 6th or 7th, 2023: OM-2023, M.A.I.C.C., Athens, Greece.
Contributions will be refereed by the Program Committee.
Accepted papers will be published in the workshop proceedings as a volume
of CEUR-WS as well as indexed on DBLP.
ORGANIZING COMMITTEE
1. Pavel Shvaiko (main contact)
Trentino Digitale, Italy
2. Jérôme Euzenat
INRIA & Univ. Grenoble Alpes, France
3. Ernesto Jiménez-Ruiz
City, University of London, UK & SIRIUS, University of Oslo, Norway
4. Oktie Hassanzadeh
IBM Research, USA
5. Cássia Trojahn
IRIT, France
PROGRAM COMMITTEE:
Alsayed Algergawy, Jena University, Germany
Manuel Atencia, Universidad de Málaga, Spain
Jiaoyan Chen, University of Oxford, UK
Jérôme David, University Grenoble Alpes & INRIA, France
Gayo Diallo, University of Bordeaux, France
Daniel Faria, INESC-ID&IST, University of Lisbon, Portugal
Alfio Ferrara, University of Milan, Italy
Marko Gulić, University of Rijeka, Croatia
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Naouel Karam, Fraunhofer, Germany
Prodromos Kolyvakis, EPFL, Switzerland
Patrick Lambrix, Linköpings Universitet, Sweden
Oliver Lehmberg, University of Mannheim, Germany
Fiona McNeill, University of Edinburgh, UK
Hoa Ngo, CSIRO, Australia
George Papadakis, University of Athens, Greece
Catia Pesquita, University of Lisbon, Portugal
Henry Rosales-Méndez, University of Chile, Chile
Booma Sowkarthiga, Microsoft, USA
Kavitha Srinivas, IBM, USA
Giorgos Stoilos, University of Oxford, UK
Valentina Tamma, University of Liverpool, UK
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondřej Zamazal, Prague University of Economics, Czech Republic
Songmao Zhang, Chinese Academy of Sciences, China
Lu Zhou, TigerGraph, USA
-------------------------------------------------------
More about ontology matching:
http://www.ontologymatching.org/http://book.ontologymatching.org/
-------------------------------------------------------
Best Regards,
Cassia
Hi,
the CoNo-Concepts Workshop at ICFCA showed that there is growing interest
in using Jupyter (and other) notebooks for FCA and that creating a page
that collects these notebooks may be useful. Since many people host
their notebooks on Github, the easiest way to create such a webpage is to
add topics to the notebooks because Github automatically generates a page
for each topic. My suggestion for such a topic is
concept-analysis-notebooks
If you add that to your notebook on Github, it will be added to the page
https://github.com/topics/concept-analysis-notebooks
BTW it is possible to directly execute notebooks without locally
installing any software. One only needs to figure out the URL
corresponding to a notebook (for example using https://mybinder.org/).
For example, if your notebook resides at
https://github.com/YOURNAME/YourRepository/folder/name.ipynb
and the branch is "main" then it can be executed at
https://mybinder.org/v2/gh/YOURNAME/YourRepository/main?urlpath=lab/tree/fo…
without installing anything and without requiring any logins. If you
include such a link in your description and Readme, then users can find it
quickly.
Best wishes
Uta
** Apologies for cross-postings **
________________
CALL FOR PARTICIPATION (REGISTRATION OPEN)
________________
18th European Conference on Logics in Artificial Intelligence (JELIA 2023)
September 20-22, 2023
TU Dresden, Germany
https://jelia2023.inf.tu-dresden.de/
JELIA 2023 will be an in-person event.
Registration is now open at https://jelia2023.inf.tu-dresden.de/registration
== AIMS AND SCOPE ==
The aim of JELIA 2023 is to bring together active researchers interested in the use of logics in Artificial Intelligence, in order to discuss current research, results, problems, and applications of both theoretical and practical nature. JELIA strives to foster links and facilitate cross-fertilization of ideas among researchers from various disciplines, among researchers from academia and industry, and between theoreticians and practitioners.
== Program ==
The list of accepted papers is available at https://jelia2023.inf.tu-dresden.de/accepted-papers
== INVITED SPEAKERS ==
Mario Alviano, University of Calabria
Katie Atkinson, University of Liverpool
Franz Baader, TU Dresden
Vaishak Belle, University of Edinburgh
== CONFERENCE CHAIRS ==
** General Chair
Sarah Alice Gaggl, TU Dresden, Germany
** Program Chairs
Maria Vanina Martinez, IIIA - CSIC, Spain
Magdalena Ortiz, Umeå University, Sweden
**Local Organization Chairs
Marcos Cramer • TU Dresden, Germany
Martin Diller • TU Dresden, Germany
**Technical Chairs
Stefan Borgwardt • TU Dresden, Germany
Stefan Ellmauthaler • TU Dresden, Germany
**Publicity Chairs
Lucía Gómez Álvarez • TU Dresden, Germany
Dominik Rusovac • TU Dresden, Germany
**Finance Chairs
Sarah Alice Gaggl • TU Dresden, Germany
Hannes Straß • TU Dresden, Germany
For additional questions contact the local organization: jelia2023(a)groups.tu-dresden.de<mailto:jelia2023@groups.tu-dresden.de>
Registration is open at https://jelia2023.inf.tu-dresden.de/registration
_________________________
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
TU Dresden
GERMANY
Call for Papers
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023)
https://kars-workshop.github.io/2023/
Sep. 18th - Sep. 22rd, 2023, Singapore
Submission deadline: August 3rd, 2023, AoE
[SCOPE]
We are pleased to invite you to contribute to the Fifth Knowledge-aware and Conversational Recommender Systems Workshop held in conjunction with the ACM International Conference on Recommender Systems (RecSys 2023), Singapore, from September the 18th to September the 22nd, 2023.
In the last few years, a renewed interest of the research community in conversational recommender systems (CRSs) is emerging. This is probably due to the great diffusion of Digital Assistants (DAs) such as Amazon Alexa, Siri, or Google Assistant that are revolutionizing the way users interact with machines. DAs allow users to execute a wide range of actions through an interaction mostly based on natural language messages.
However, although DAs are able to complete tasks such as sending texts, making phone calls, or playing songs, they are still at an early stage in offering recommendation capabilities by using the conversational paradigm.
In addition, we have been witnessing the advent of more and more precise and powerful recommendation algorithms and techniques able to effectively assess users' tastes and predict information that would probably be of interest to them.
Most of these approaches rely on the collaborative paradigm (often exploiting machine learning techniques) and do not take into account the huge amount of knowledge, both structured and non-structured, describing the domain of interest of the recommendation engine.
Although very effective in predicting relevant items, collaborative approaches miss some very interesting features that go beyond the accuracy of results and move in the direction of providing novel and diverse results as well as generating an explanation for the recommended items. Furthermore, this side information becomes crucial when a conversational interaction is implemented, in particular for the preference elicitation, explanation, and critiquing steps.
The Fifth Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop focuses on all aspects related to the exploitation of external and explicit knowledge sources to feed and build a recommendation engine, and on the adoption of interactions based on the conversational paradigm. The aim is to go beyond the traditional accuracy goal and to start a new generation of algorithms and approaches with the help of the methodological diversity embodied in fields such as Machine Learning (ML), Deep Learning (DL) – including Large Language Models (LLMs) –, Human-Computer Interaction (HCI), Information Retrieval (IR), Information Systems (IS). Consequently, the focus lies on works improving the user experience and following goals such as user engagement and satisfaction or customer value.
The aim of this fifth edition of KaRS is to bring together researchers and practitioners around the topics of designing and evaluating novel approaches for recommender systems in order to:
* share research and techniques, including new design technologies and evaluation methodologies;
* identify the next key challenges in the area;
* identify emerging topics in the field.
[TOPICS]
This workshop aims at establishing an interdisciplinary community with a focus on the exploitation of (semi-)structured knowledge and conversational approaches for recommender systems and promoting collaboration opportunities between researchers and practitioners.
Topics of interest include, but are not limited to:
- Knowledge-aware Recommender Systems.
- Models and Feature Engineering:
- Knowledge-aware data models based on structured knowledge sources (e.g., Linked Open Data, BabelNet, Wikidata, etc.)
- Semantics-aware approaches exploiting the analysis of textual sources (e.g., Wikipedia, Social Web, etc.)
- Knowledge-aware user modeling
- Methodological aspects (evaluation protocols, metrics, and data sets)
- Logic-based modeling of a recommendation process
- Knowledge Representation and Automated Reasoning for recommendation engines
- Deep learning methods to model semantic features
- Large language models (LLMs) for Knowledge-aware Recommender Systems
- Beyond-Accuracy Recommendation Quality:
- Using knowledge bases and knowledge graphs to increase recommendation quality(e.g., in terms of novelty, diversity, serendipity, or explainability)
- Explainable Recommender Systems
- Knowledge-aware explanations to recommendations (compliant with the General Data Protection Regulation)
- Online Studies:
- Using knowledge sources for cross-lingual recommendations
- Applications of knowledge-aware recommenders (e.g., music or news recommendation, off-mainstream application areas)
- User studies (e.g., on the user's perception of knowledge-based recommendations), field studies, in-depth experimental offline evaluations
- Conversational Recommender Systems.
- Design of a Conversational Agent:
- Design and implementation methodologies
- Dialogue management (end-to-end, dialog-state-tracker models)
- UX design
- Dialog protocols design
- Large language models (LLMs) for Conversational Recommender Systems
- User Modeling and interfaces:
- Critiquing and user feedback exploitation
- Short- and Long-term user profiling and modeling
- Preference elicitation
- Natural language-, multi-modal-, and voice-based interfaces
- Next-question problem
- Methodological and Theoretical aspects:
- Evaluation and metrics
- Datasets
- Theoretical aspects of conversational recommender systems
[SUBMISSIONS]
Submissions of full research papers must be in English, in PDF format in the CEUR-WS two-column conference format available at:
http://ceur-ws.org/Vol-XXX/CEURART.zip
or at:
https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…
if an Overleaf template is preferred.
Submission will be peer-reviewed and accepted papers will appear in the CEUR workshop series. Papers may range from theoretical works to system descriptions.
We particularly encourage Ph.D. students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the Knowledge-aware and Conversational Recommender Systems community.
The conference language is English.
We invite three kinds of submissions, which address novel issues in Knowledge-aware and Conversational Recommender Systems:
* Long Papers should report on substantial contributions of lasting value. The Long papers must have a length of a minimum of 6 and a maximum of 8 pages (plus an unlimited number of pages for references). Each accepted long paper will be included in the CEUR online Workshop proceedings and presented in a plenary session as part of the Workshop program.
* Short/Demo Papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance in this category despite not having gone through sufficient experimental validation or lacking a strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. The Short/Demo papers must have a length of a minimum of 3 and a maximum of 5 pages (plus an unlimited number of pages for references). Each accepted short paper will be included in the CEUR online Workshop proceedings
* Position/Discussion Papers describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem, or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments. The Position/Discussion papers must have a length of a minimum of 2 and a maximum of 3 pages (plus an unlimited number of pages for references). Original Position/Discussion accepted papers will be included in the CEUR online Workshop proceedings. Selected Position/Discussion papers will be invited as oral presentations.
The review process is single-blind. Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop.
Short and long paper submissions must be original work and may not be under submission to another venue at the time of review.
Accepted papers will appear in the workshop proceedings.
Submission will be through Microsoft CMT at:
https://cmt3.research.microsoft.com/kars2023
[IMPORTANT DATES]
* Paper submissions due: August 3rd, 2023
* Paper acceptance notification: August 27th, 2023
* Camera-ready deadline: September 10th, 2023
* Workshop day: September 18th-22nd, 2023
Deadlines refer to 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone.
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