** With apologies for multiple posting **
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Onto4FAIR Workshop at Semantics 2023
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3rd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), in conjunction with Semantics 2023, 20 September 2023, Leipzig, Germany
This is a twin workshop proposal at both FOIS 2023 and Semantics 2023 conferences. The primary aim is to bring the gap between the scientific and the practitioner/industry sides, respectively, where we would take the greatest and latest advances in the state of the art to industry and bring back the practitioners' needs and challenges to the scientific community of figure out a solution.
For more details please check the website: https://onto4fair.github.io/2023-semantics.html
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Presentation
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Making the resources produced by researchers fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for resource reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications. One the one hand, a key aspect is the ability of properly and semantically describing resources, in particular with the help of ontologies. On the other hand, ontologies themselves have to be compliant with the FAIR principles.
The workshop has the following main goals: (i) to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in research and real-world requirements. (ii) to serve to inform about existing research efforts that may meet their requirements. (iii) to investigate how the FAIR principles are supported by the use of ontologies that ideally are themselves FAIR. (iv) to discuss the challenges and perspectives in adopting FAIR principles.
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Workshop topics
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The topics of interest include, but are not limited to, the following:
- schemes, ontologies and vocabulaires for FAIR data and metadata;
- domain and cross-domain ontologies for FAIR data;
- making vocabularies and ontologies FAIR;
- alignment of schemes, vocabulaires and ontologies for FAIR;
- data management for FAIR data;
- best practices for implementing the FAIR principles;
- FAIRification process and use cases;
- metrics for FAIRness assessment;
- provenance in FAIR environments;
- FAIR principles and open science;
- FAIR principles and linked open data;
- FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.).
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Important dates
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- Workshop paper submission deadline: July 21, 2023 (extended)
- Author notification: August 07, 2023
- Camera-ready version: August 28, 2023
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Submissions
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- Full research papers: 12 pages (including references)
- Short papers: 6 pages (including references)
Submissions must be in PDF, formatted in the style of IOS Press template.
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Workshop Chairs
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- Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France
- Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands
- Giancarlo Guizzardi, University of Twente, the Netherlands
- Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France
Best regards
Cassia Trojahn
Special issue on Ontology Matching and Machine Learning
https://www.semantic-web-journal.net/blog/special-issue-ontology-matching-a…
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This special issue aims to discuss the latest research proposals and on the use of machine learning for ontology matching, data interlinking, and data integration in general.
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.
While early approaches have addressed the use of machine learning, new deep learning and large language models have gained attention in the field, proving new ways of capturing the relationships between the entities of different ontologies.
The special issue aims at providing a comprehensive view of the latest research advancements and inspire further research in this evolving area. We welcome original research papers that propose novel techniques, models, and frameworks for ontology matching, data interlink and data integration.
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Themes and Topics
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We are interested in (including but not limited to) the following themes and topics that study the application of deep learning and large langage models in general:
- Matching and deep learning
- Matching and large language models
- Learning in instance matching, data interlinking
- Large-scale and efficient matching techniques
- Matching and neuro-symbolic techniques
- Matcher selection, combination and tuning
- User involvement
- Explanations in matching
- Social and collaborative matching
- Uncertainty in matching
- Expressive alignments
- Reasoning with alignments
- Alignment coherence and debugging
- Matching for emerging applications (e.g., web tables, knowledge graphs)
- Benchmarks for machine learning oriented matching
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Deadline
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Submission deadline: 20th February 2024. Papers submitted before the deadline will be reviewed upon receipt.
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Author Guidelines
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We invite full papers, dataset descriptions, application reports and reports on tools and systems. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this special issue. Authors can extend previously published conference or workshop papers; guidelines for this can be found in FAQ 9.
Submissions shall be made through the Semantic Web journal website at http://www.semantic-web-journal.net. Prospective authors must take notice of the submission guidelines posted at http://www.semantic-web-journal.net/authors.
We welcome any submission type as described http://www.semantic-web-journal.net/authors#types.
While there is no upper limit, paper length must be justified by content. Note that you need to request an account on the website for submitting a paper. Please indicate in the cover letter that it is for the "Ontology Matching and Machine Learning" special issue.
All manuscripts will be reviewed based on the SWJ open and transparent review policy and will be made available online during the review process.
Also note that the Semantic Web journal is open access and all submissions rely on an open and transparent review process (see FAQ 1). Finally please note that submissions must comply with the journal’s Open Science Data requirements, which are detailed in the corresponding blog post.
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Guest Editors
The guest editors can be reached at om-ml(a)googlegroups.com .
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Cássia Trojahn, IRIT, France
Sven Hertling, University of Mannheim, Germany
Huanyu Li, Linköping University, Sweden
Oktie Hassanzadeh, IBM Research, USA
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Guest Editorial Board
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Ernesto Jiménez-Ruiz, City, University of London, UK & SIRIUS, University of Oslo, Norway
Pavel Shvaiko, Trentino Digitale, Italy
Jérôme Euzenat, INRIA & Univ. Grenoble Alpes, France
TO BE COMPLETED
Call for Participation: HHAI2024 – The third International Conference on Hybrid Human-Artificial Intelligence
June 10-14, 2024, Malmö, Sweden
Call for Papers & Call for Workshop and Tutorial Proposals
In this message, we shortened each call to their essentials – the full text of each call is available on the website: https://hhai-conference.org/2024/
Hybrid Human-Artificial Intelligence (HHAI) is an international conference series that focuses on the study of Artificial Intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that work together with humans, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems. HHAI systems leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations.
The HHAI field is driven by developments in AI, but it also requires fundamentally new approaches and solutions. Thus, we encourage collaborations across research domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this third international conference, we invite scholars from these fields to submit their best original – new as well as in progress – works, and visionary ideas on Hybrid Human-Artificial Intelligence.
Call for Papers (Main track)
Important dates
- Abstract submission: January 26, 2024
- Paper submission: February 2, 2024
- Acceptance notification: March 29, 2024
- Camera-ready version: April 12, 2024
Topics
We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive:
- Human-AI interaction and collaboration
- Adaptive human-AI co-learning and co-creation
- Learning, reasoning and planning with humans and machines in the loop
- User modeling and personalisation
- Integration of learning and reasoning
- Transparent, explainable, and accountable AI
- Fair, ethical, responsible, and trustworthy AI
- Societal awareness of AI
- Multimodal machine perception of real world settings
- Social signal processing
- Representations learning for Communicative or Collaborative AI
- Symbolic and narrative-based representations for human-centric AI
- Role of Design and Compositionality of AI systems in Interpretable / Collaborative AI
We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models.
Paper types
In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers:
- Full papers present original, impactful work (12 pages excl. references)
- Blue sky papers present visionary ideas to stimulate the research community (8 pages excl. references)
- Working papers present work in progress (8 pages excl.references)
Accepted full papers and Blue sky papers will be published in the Proceedings of the Third International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Working papers can be included in these proceedings, unless the authors request the paper to remain unpublished.
Work should be submitted in PDF format via Easychair: https://easychair.org/conferences/?conf=hhai2024
Call for Workshop and Tutorial Proposals
We invite proposals for two-day, full-day and half-day workshops at HHAI 2024. We also invite tutorials to run alongside the workshops.
The workshops and tutorials will form part of the first edition of the HHAI Summer School.
The HHAI 2024 workshops and tutorials provide a platform for discussing a topic related to Hybrid Human-Artificial Intelligence with an audience specifically interested in that topic in an informal setting (compared to the main conference).
We invite submissions for events that foster cross-disciplinary interaction, scientific discourse, and creative and critical reflection, rather than just being mini-conferences. We offer organizers flexibility on formats that best suit the goals of their event. We also welcome submissions from research communities that may not be prominently featured in AI events and conferences.
Important Dates
- Workshop and tutorial proposals: January 31, 2024
- Proposal acceptance notification: February 7, 2024
- Deadline for announcing the Call for Contributions to the workshops: February 14, 2024
- Recommended deadline for submissions to the workshops: April 10, 2024
- Recommended deadline for notifications on the submissions: May 2, 2024
- Workshops and tutorials at HHAI2024: June 10-11, 2024
Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2024
Location
HHAI 2024 will be an in-person, single-track conference, held in Malmö, Sweden on June 10-14, 2024. More information on the venue as well as travel information can be found on the website: https://hhai-conference.org/2024/
Contact information
Conference chairs: Frank Dignum (Umeå University, SE), Fabian Lorig (Malmö University, SE), Jason Tucker (Malmö University, SE), and Adam Dahlgren Lindström (Umeå University, SE).
Program chairs: Pradeep Murukannaiah (TU Delft, NL), Andreas Theodorou (Umeå University, SE), Pinar Yolum (Utrecht University, NL).
Workshop chairs: Petter Ericson (Umeå University, SE), Nina Khairova (Umeå University, SE), Marina de Vos (University of Bath, UK)
For questions, you can reach the program chairs at program(a)hhai-conference.org<mailto:program@hhai-conference.org> and the workshop chairs at workshop(a)hhai-conference.org<mailto:workshop@hhai-conference.org>
Kind regards,
Julian Rasch & Jesse Grootjen
Publicity and Social Media Chairs HHAI 2024
https://www.hhai-conference.org/
Gentle reminder.
> == ESAO Webinar n.10, 19th December 2023 ==
>
> Dear all,
>
> The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike (no registration needed).
>
> The 10th ESAO webinar will be held on
>
> Tuesday, December 19, 2023 at 15:00 CET
> (regional times: 09:00-10:30 EDT / 14:00-15:30 UTC / 15:00-16:30 CET / 16:00-17:30 SAST / 11:00-12:30 UTC-3 [2])
> via Zoom (full connection details at the end of this message)
>
> https://univ-tlse2.zoom.us/j/95709820112?pwd=VXlYTi8zbzBDbjVkUW1Qa2dGMW4zUT…
>
> Program & Speakers Info
> ----------------------
> 09:00-10:30 EDT / 14:00-15:30 UTC / 15:00-16:30 CET / 16:00-17:30 SAST / 11:00-12:30 UTC-3 (30 min each presentation + discussions)
>
> -------
> Mara Abel (Federal University of Rio Grande do Sul, Brazil)
>
> Title: Ontology application in the petroleum industry
> Abstract: The petroleum production chain configures a complex sequence of activities that require specialized knowledge and large volume of information from diverse sources and types. Considering the high level of requested knowledge, several specialized providers assume part of the activities producing information and data that are integrated during process decision, production monitoring, and optimization. In this non-standardize scenario, semantic treatment becomes a key issue to allow interoperability between systems and enterprise information consumption. Ontology engineering came with the adequate tools for dealing with semantic in this environment nowadays, by orienting the development of domain ontologies and the embodiment of the ontology artifacts into information system applications. This talk will describe use cases of domain ontologies in petroleum industry environment for information retrieval, expert system applications, digital twin for implementation and decision making applications, highlighting details of the each project development.
>
> Bio: Mara Abel is geologist and doctor in Computer Science, studying knowledge engineering applied to Petroleum Industry. She is a retired titular professor of UFRGS, in Brasil, where she has been dedicated to investigate and build ontologies for dealing with interoperability problems in petroleum industry. She is co-founder of the knowledge-based software company ENDEEPER and she has conceived several successful industrial applications for reservoir characterization and production optimization in industrial cooperation projects.
>
> -------
> Emilio Sanfilippo (National Research Council of Italy)
>
> Title: Ontologies in Digital Humanities: Some Research Challenges
> Abstract: Ontologies are extensively used in both research and applications within the realm of digital humanities, with one of the most notable examples being the CIDOC-CRM ontology and its extensions. Similarly to other domains of application, ontologies within the digital humanities serve diverse purposes, including the seamless organization of datasets across multiple organizations to enable their smooth sharing and integration. However, within this landscape, critical studies pertaining to the interpretive reception of artworks – or any entity central to humanities research – have remained at the margins of knowledge representation and data modeling efforts. Consequently, while numerous digital platforms offer ontology-based datasets, only a few explicitly address the interpretive dimension of scholarly inquiries. This absence is somewhat surprising considering the significance of interpretive phenomena in critical studies of fine art, literature, music, theater, and other disciplines. During this presentation, I will briefly explore the utilization of ontologies in the digital humanities, discussing the challenges researchers must confront, in my opinion, to comprehend the multifaceted nature of scholarly research in the humanities. These challenges encompass the development of methodologies and formal models to represent scholarly interpretations and debates.
>
> Bio: Emilio Sanfilippo is a permanent researcher at the National Research Council of Italy, affiliated with the Laboratory for Applied Ontology (LOA) within the Institute for Cognitive Sciences and Technologies (ISTC). His research encompasses foundational and applied topics concerning the utilization of ontologies in both industrial engineering and the digital humanities. Presently, he serves as the principal investigator of the MITE project - Make it Explicit: Documenting interpretations of literary fictions with conceptual formal models, funded by the Italian Ministry for University and Research (MUR).
>
> Series Description
> ------------------
>
> The IAOA [3] has created ESAO [1], an educational effort directed towards topics of Applied Ontology, primarily established basics and foundations.
>
> The series is inspired by the Interdisciplinary Schools on Applied Ontology (ISAO) [4]. ESAO is complementary in format and its overall approach. The goal is to provide a combination of an archive of educational material (e.g., short video lectures) and a series of webinars for presenting and discussing that material.
>
> Organization
> ------------
>
> Members of the Education Technical Committee of IAOA [5] and among those primarily (in alphabetical order):
>
> * Lucía Gómez Álvarez
> * Frank Loebe
> * Sandra Lovrenčić
> * Cassia Trojahn (Chair)
> * Laure Vieu
>
> Contact
> E-Mail: info(a)iaoa.org
>
> [1] Educational Series on Applied Ontology
> https://wiki.iaoa.org/index.php/Edu:ESAO
>
> [2] Session time locally and in further places
> https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230510T1400
>
> [3] IAOA website
> http://iaoa.org/
>
> [4] ISAO History page
> https://iaoa.org/index.php/isao-history/
>
> [5] Entry page of the IAOA Education Technical Committee
> https://iaoa.org/index.php/faq/education-committee/
>
>
> Connection Details
> ------------------
>
> Topic: ESAO 10th
> Time: Dec 19, 2023 03:00 PM Paris
>
> Join Zoom Meeting
> https://univ-tlse2.zoom.us/j/95709820112?pwd=VXlYTi8zbzBDbjVkUW1Qa2dGMW4zUT…
>
> Meeting ID: 957 0982 0112
> Passcode: 770691
>
> ---
>
> Join by SIP
> • 95709820112(a)zoomcrc.com
>
> ---
>
> Join by H.323
> • 162.255.37.11 (US West)
> • 162.255.36.11 (US East)
> • 221.122.88.195 (China)
> • 115.114.131.7 (India Mumbai)
> • 115.114.115.7 (India Hyderabad)
> • 213.19.144.110 (Amsterdam Netherlands)
> • 213.244.140.110 (Germany)
> • 103.122.166.55 (Australia Sydney)
> • 103.122.167.55 (Australia Melbourne)
> • 209.9.211.110 (Hong Kong SAR)
> • 149.137.40.110 (Singapore)
> • 64.211.144.160 (Brazil)
> • 69.174.57.160 (Canada Toronto)
> • 65.39.152.160 (Canada Vancouver)
> • 207.226.132.110 (Japan Tokyo)
> • 149.137.24.110 (Japan Osaka)
>
> Meeting ID: 957 0982 0112
> Passcode: 770691
>
> ---
>
> Join by Skype for Business
> https://univ-tlse2.zoom.us/skype/95709820112
*** 1st Call for Papers ***
CONCEPTS 2024
1st International Joint Conference on Conceptual Knowledge Structures
28th Intl. Conf. on Conceptual Structures (ICCS)
18th Intl. Conf. on Formal Concept Analysis (ICFCA)
17th Intl. Conf. on Concept Lattices and their Applications (CLA)
September 9–13 2024, Cádiz, Spain
Website: https://concepts2024.uca.es
Email contact address: concepts24(a)lists.cs.uni-kassel.de
The 1st International Joint Conference on Conceptual Knowledge
Structures (CONCEPTS) is a merger of the three conferences CLA, ICCS,
and ICFCA, which have been essential venues for researchers and
practitioners working on theoretical and applied aspects of formal
concept analysis and representation of conceptual knowledge, as well as
closely related areas, such as data mining, information retrieval,
knowledge management and discovery.
This new conference aims to continue the tradition and standards of
previous conferences and become a key annual meeting to take along all
members of the three communities of CLA, ICCS, and ICFCA and to keep
abreast of the advances and new challenges in the field.
Main topics include but are not limited to:
- Formal concept analysis: concept lattices, implications, algorithms
and computational complexity
- Conceptual graphs, graph-based models for human reasoning
- Knowledge spaces and learning spaces
- Ontologies, semantic web, knowledge graphs
- Conceptual structures in natural language processing and linguistics
- Conceptual knowledge acquisition and management
- Conceptual knowledge discovery, data analysis, and visualization
- Probabilistic approaches to conceptual knowledge representation and
knowledge discovery
- Approximation techniques in application to conceptual structures
- Bridging conceptual structures to information sciences, artificial
intelligence, data mining, machine learning, information retrieval,
database theory, software engineering, and other areas of computer science
- Understanding real-world data and modeling real-world phenomena with
conceptual structures
Submission details:
Submissions are invited on significant, original (previously
unpublished) research on the topics of the conference. All accepted
submissions will be refereed, by following three different modalities:
journal track papers, up to 26 pages, to be published in a special issue
of a high-rank international journal; regular papers up to 16 pages, and
short papers up to 8 pages, to be published by Springer in the LNAI
series as a proceedings volume.
All submissions will be subject to single-blind peer review. Accepted
papers have to be presented at the conference on-site. Therefore, at
least one author per paper has to register timely and attend the
conference on-site.
Important dates:
For journal track submissions:
- Submission deadline: March 6, 2024
- Paper Reviews Sent to Authors: May 3, 2024
- Revised submission: June 3, 2024
- Notification of acceptance: June 30, 2024
For regular papers and extended abstracts:
- Abstract submission: March 18, 2024
- Full paper submission: March 25, 2024
- Notification of acceptance: May 15, 2024
- Camera-ready papers due: May 30, 2024
Organization:
_General and Conference Chair:_
Jesús Medina, University of Cádiz, Spain
_Program Chairs:_
Inma P. Cabrera, University of Málaga, Spain
Sébastien Ferré, University of Rennes, France
Sergei Obiedkov, TU Dresden, Germany
_Local organizer Committee:_
María José Benítez Caballero, University of Cádiz, Spain
Fernando Chacón-Gómez, University of Cádiz, Spain
Samuel José Molina Ruiz, University of Cádiz, Spain
Francisco José Ocaña Alcázar, University of Cádiz, Spain
_Executive Board: _
Jaume Baixeries, Polytechnic University of Catalonia, Spain
Radim Belohlavek, Palacký University Olomouc, Czech Republic
Tanya Braun, University of Münster, Germany
Madalina Croitoru, University of Montpellier, France
Sébastien Ferré, University of Rennes, France
Sergei Kuznetsov, HSE University, Moscow, Russia
Rokia Missaoui, Université du Québec en Outaouais, Canada
Amedeo Napoli, LORIA, Nancy, France
Sergei Obiedkov, TU Dresden, Germany
Manuel Ojeda-Aciego, University of Malaga, Spain
Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany
Gerd Stumme, University of Kassel, Germany
Program Committee (to be announced soon)