OM-2022

The 17th International Workshop on Ontology Matching

collocated with the 21th International Semantic Web Conference ISWC-2022
October 23rd, 2022, to be held as a hybrid fully virtual conference, Hangzhou, China


Objectives Call for papers Submissions Accepted papers Program Organization OM-2021

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:
  • 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, process matching, web table and knowledge graph matching tasks.

  • To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2022 campaign.

  • To examine similarities and differences from other, old, new and emerging, techniques and usages, such as process matching, web table matching or knowledge embeddings.

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Call for papers



Audience:

The workshop encourages participation from academia, industry and user institutions with the emphasis on theoretical and practical aspects of ontology matching. On the one side, we expect representatives from industry and user organizations to present business cases and their requirements for ontology matching. On the other side, we expect academic participants to present their approaches vis-a-vis those requirements. The workshop provides an informal setting for researchers and practitioners from different related initiatives to meet and benefit from each other's work and requirements.

This year, in sync with the main conference, we encourage submissions specifically devoted to: (i) datasets, benchmarks, software tools/services, APIs, methodologies, protocols and metrics (not necessarily related to OAEI), and (ii) application of ontology and instance matching technology in a specific domain and assessment of its usefulness to the final users.

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 (e.g., public sector)
  • Application of matching techniques in real-world scenarios (e.g., in cloud, with mobile apps)
  • Formal foundations and frameworks for matching
  • Novel matching methods, including link prediction, ontology-based data 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)
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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 2022 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 5 pages. Posters/statements of interest should not exceed 2 pages. All contributions have to be prepared using the LNCS Style and should be submitted in PDF format (no later than August 9th, 2022) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2022

Contributors to the OAEI 2022 campaign have to follow the campaign conditions and schedule at https://oaei.ontologymatching.org/2022/.

Important dates:

  • August 9th, 2022: CLOSED
    Deadline for the submission of papers
  • September 6th, 2022: CLOSED
    Deadline for the notification of acceptance/rejection
  • September 20th, 2022: CLOSED
    Workshop camera ready copy submission
  • October 15th, 2022: CLOSED
    Early ISWC'22 registration deadline
  • October 23rd, 2022:
    OM-2022, to be held as a hybrid fully virtual conference, Hangzhou, China

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. By submitting a paper, the authors accept the CEUR-WS and DBLP publishing rules (CC-BY 4.0 license model).

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Accepted Papers



Long Technical Papers:


Short Technical Papers:

OAEI Papers:

Abstracts (ex-posters):

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Program
CST, Shanghai EST, New York CEST, Rome Links Schedule
15:45-16:00 3:45-4:00 9:45-10:00 Zoom Welcome and workshop overview Organizers
16:00-17:00 4:00-5:00 10:00-11:00 Zoom Keynote address by Anastasia Dimou
Aligning heterogeneous semi-structured data and knowledge graphs
Abstract: Alignments for both ontologies and knowledge graphs output a set of meaningful correspondences of the related ontologies and instances respectively. Similarly, knowledge graph generation aligns heterogeneous semi-structured data and knowledge graphs by applying the ontology terms on the data to generate new knowledge graphs. Several mapping languages were proposed to define these alignments in the form of mapping rules, such as RML, SPARQL-Generate, and different systems were developed to execute these mapping rules. As opposed to ontology alignment and knowledge graph alignment, these mapping rules are typically manually specified and little research was invested on the automation of their definition. In this talk, we will discuss the state of the art of mapping languages and knowledge graph generation systems as well as the latest advances of the knowledge graph construction community. We will also reflect on the related challenges and opportunities.
Bio: Anastasia is a tenure-track assistant professor at the Declarative Languages and Artificial Intelligence (DTAI) section of the Computer Science Department at KU Leuven. She conducts research on the fusion of Knowledge Graphs and Machine Learning. Her research is focused on: (i) facilitating and automating KG construction, RML.io, (ii) KG quality assessment and validation, SHACL, (iii) Machine Learning Algorithms representation and its fusion with knowledge graphs and (iv) KG modeling, provenance, access control and privacy. Anastasia combines fundamental and applied research considering different application domains with a special focus on the manufacturing domain. She is currently involved in two projects: Reproducing Expert Knowledge (REXPEK) and Knowledge Graphs for Intelligent Decision Making with Decentralised Data (KG3D). Anastasia is also involved in two research networks: she is Science Communication Manager of the COST Action on Decentralised Knowledge Graphs (DKG) and she leads the FWO Research Network on Knowledge Graphs for Data Integration (KG4DI).

17:00-19:00 5:00-7:00 11:00-13:00 Zoom Paper presentation session: Methods and Applications - I
17:00-17:20 5:00-5:20 11:00-11:20 The impact of imbalanced class distribution on knowledge graphs matching
Omaima Fallatah, Ziqi Zhang, Frank Hopfgartner
17:20-17:40 5:20-5:40 11:20-11:40 Exploring Wasserstein distance across concept embeddings for ontology matching
Yuan An, Alex Kalinowski, Jane Greenberg
17:40-18:00 5:40-6:00 11:40-12:00 LamAPI: a comprehensive tool for string-based entity retrieval with type-base filters
Roberto Avogadro, Marco Cremaschi, Fabio D'adda, Flavio De Paoli, Matteo Palmonari
18:00-18:20 6:00-6:20 12:00-12:20 BiodivTab: semantic table annotation benchmark construction, analysis, and new additions
Nora Abdelmageed, Sirko Schindler, Birgitta König-Ries
18:20-18:40 6:20-6:40 12:20-12:40 An eye on representation learning in ontology matching
Guilherme Sousa, Rinaldo Lima, Cassia Trojahn
18:40-19:00 6:40-7:00 12:40-13:00 A simple standard for ontological mappings 2022: updates of data model and outlook
Nicolas Matentzoglu, Joe Flack, John Graybeal, Nomi L. Harris, Harshad B. Hegde, Charles T. Hoyt, Hyeongsik Kim, Sabrina Toro, Nicole Vasilevsky, Christopher J. Mungall
19:00-19:30 7:00-7:30 13:00-13:30 Zoom Summary of the OAEI 2022 campaign and the SemTab challenge
Organizers
19:30-20:00 7:30-8:00 13:30-14:00 Gather.Town Break
20:00-21:30 8:00-9:30 14:00-15:30 Gather.Town Parallel sessions: OAEI and Abstracts
Bio-ML: A ML-friendly Biomedical track for equivalence and subsumption matching
Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ian Horrocks
SEBMatcher: structural embeddings with Bert matcher
Francis Gosselin, Amal Zouaq
GraphMatcher: a graph representation learning approach for ontology matching
Sefika Efeoglu
A-LIOn: alignment learning through inconsistency negatives of the aligned ontologies
Sarah Alghamdi, Fernando Zhapa, Robert Hoehndorf
LSMatch: large-scale ontology matching system
Abhisek Sharma, Archana Patel, Sarika Jain
CIDER-LM: Language Model, Context, and Inference baseD alignER
Javier Vela Tambo, Jorge Gracia del Rio
What should be the minimum requirements for FAIR alignments?
Cassia Trojahn, Nicolas Matentzoglu
Towards a unified metadata model for semantic and data mappings
Sarah Alzahrani, Declan O'Sullivan
Meta2KG: transforming metadata to knowledge graphs
Nora Abdelmageed, Birgitta König-Ries
Multifarm - extending the multifarm benchmark for Hindi language
Abhisek Sharma, Sarika Jain, Cassia Trojahn
21:30-22:15 9:30-10:15 15:30-16:15 Zoom Paper presentation session: Methods and Applications - II
21:30-21:45 9:30-9:45 15:30-15:45 Too big to match: a strategy around matching tasks for large taxonomies
Alsayed Algergawy, Naouel Karam, Amir Laadhar, Franck Michel
21:45-22:00 9:45-10:00 15:45-16:00 Self-learning ontological concept representation for searching and matching tasks
Duy-Hoa Ngo, Bevan Koopman
22:00-22:15 10:00-10:15 16:00-16:15 Matching pharmacogenomic knowledge: particularities, results, and perspectives
Pierre Monnin, Adrien Coulet
22:15-23:00 10:15-11:00 16:15-17:00 Zoom Discussion and wrap-up
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Organization



Organizing Committee:

  • Pavel Shvaiko (Main contact)
    Trentino Digitale, Italy
    E-mail: pavel [dot] shvaiko [at] tndigit [dot] it
  • Jérôme Euzenat
    INRIA & Univ. Grenoble Alpes, France
  • Ernesto Jiménez-Ruiz
    City, Univeristy of London, UK & SIRIUS, Univeristy of Oslo, Norway
  • Oktie Hassanzadeh
    IBM Research, USA
  • 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
  • Majid Mohammadi, Eindhoven University of Technology, Netherlands
  • Hoa Ngo, CSIRO, Australia
  • George Papadakis, University of Athens, Greece
  • Henry Rosales-Méndez, University of Chile, Chile
  • Booma Sowkarthiga, Microsoft, USA
  • Kavitha Srinivas, IBM, USA
  • 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

Acknowledgements:

We appreciate support from Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.

IT logo        IT logo        Pistoia Alliance logo        IBM Research logo       
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