OM-2019

The Fourteenth International Workshop on Ontology Matching

collocated with the 18th International Semantic Web Conference ISWC-2019
October 26th, 2019, Owen G. Glenn Building, The University of Auckland, Auckland, New Zealand

Download OM-2019 proceedings: CEUR-WS Vol-2536


Objectives Call for papers Submissions Accepted papers Program Organization OM-2018




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 process mapping. 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 mapping and web table 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) 2019 campaign. Besides real-world specific matching tasks, such as the disease-phenotype track supported by the Pistoia Alliance, will introduce the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching track, supported by IBM Research.

  • 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 and replication studies, services, software, methodologies, protocols and measures (not necessarily related to OAEI), and (ii) application of the matching technology in real-life scenarios 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, homeland security);
  • Application of matching techniques in real-world scenarios (e.g., with environmental data);
  • Formal foundations and frameworks for matching;
  • 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;
  • 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 2019 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 June 28th, 2019) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2019

Contributors to the OAEI 2019 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2019/.

Important dates:

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. In order for the paper to appear in the workshop proceedings, one of the authors must register for both the conference and the workshop by the EARLY registration deadline.

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Accepted Papers



Long Technical Papers:


Short Technical Papers:

OAEI Papers:

Posters:

Associated ISWC challenge posters:

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Schedule
  8:30-9:20 Poster set-up (Foyer 260)
  9:20-9:30 Welcome and workshop overview (Case Room 1 - 260 005)
Organizers
 9:30-10:30 Paper presentation session: Methods and Applications - I
 9:30-9:50 Matching ontologies for air traffic management: a comparison and reference alignment of the AIRM and NASA ATM ontologies
Audun Vennesland, Richard M. Keller, Christoph G. Schuetz, Eduard Gringinger, Bernd Neumayr
 9:50-10:10 Multi-view embedding for biomedical ontology matching
Weizhuo Li, Xuxiang Duan, Meng Wang, XiaoPing Zhang, Guilin Qi
 10:10-10:30 Identifying mappings among knowledge graphs by formal concept analysis
Guowei Chen, Songmao Zhang
 10:30-11:30 Coffee break / Poster session (Foyer 260)
 11:30-12:00 Paper presentation session: Methods and Applications - II
 11:30-11:45 Hypernym relation extraction for establishing subsumptions: preliminary results on matching foundational ontologies
Mouna Kamel, Daniela Schmidt, Cássia Trojahn, Renata Vieira
 11:45-12:00 Generating corrupted data sources for the evaluation of matching systems
Fiona McNeill, Diana Bental, Alasdair Gray, Sabina Jedrzejczyk, Ahmad Alsadeeqi
 12:00-12:45 Paper presentation session: OAEI-2019 campaign
 12:00-12:45 Introduction to the OAEI 2019 campaign
Organizers
 12:45-14:00 Lunch (OGGB Foyer)
 14:00-15:00 Keynote address by Juan Sequeda (data.world)
 15:00-16:00 Coffee break / Poster session (Foyer 260)
 16:00-16:45 Paper presentation session: OAEI-2019 campaign (cont'd)
 16:00-16:15 Using LogMap in real-world applications
Ernesto Jiménez-Ruiz
 16:15-16:30 Entity linking to knowledge graphs to infer column types and properties (Tabularisi)
Avijit Thawani, Minda Hu, Erdong Hu, Husain Zafar, Naren Teja Divvala, Amandeep Singh, Ehsan Qasemi, Pedro Szekely, Jay Pujara
 16:30-16:45 ISWC challenge: transforming tabular data into semantic knowledge
Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae
 16:45-17:20 Discussion and wrap-up
 
   Details on the keynote address by Juan Sequeda (data.world)
  Title: The socio-technical phenomena of data integration
Abstract: Data Integration has been an active area of computer science research for over two decades. A modern manifestations is as Knowledge Graphs which integrates not just data but also knowledge at scale. Tasks such as Domain modeling and Schema/Ontology Matching are fundamental in the data integration process. Research focus has been on studying the data integration phenomena from a technical point of view (algorithms and systems) with the ultimate goal of automating this task.
In the process of applying scientific results to real world enterprise data integration scenarios to design and build Knowledge Graphs, we have experienced numerous obstacles. In this talk, I will share insights about these obstacles. I will argue that we need to think outside of a technical box and further study the phenomena of data integration with a human-centric lens: from a socio-technical point of view.
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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, INRIA & Univ. Grenoble Alpes, France
  • Zohra Bellahsene, LIRMM, France
  • Jiaoyan Chen, University of Oxford, UK
  • Valerie Cross, Miami University, USA
  • Jérôme David, University Grenoble Alpes & INRIA, France
  • Gayo Diallo, University of Bordeaux, France
  • Warith Eddine Djeddi, LIPAH & LABGED, Tunisia
  • AnHai Doan, University of Wisconsin, USA
  • 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
  • Marouen Kachroudi, Université de Tunis El Manar, Tunis
  • Simon Kocbek, University of Melbourne, Australia
  • Prodromos Kolyvakis, EPFL, Switzerland
  • Patrick Lambrix, Linköpings Universitet, Sweden
  • Oliver Lehmberg, University of Mannheim, Germany
  • Vincenzo Maltese, University of Trento, Italy
  • Fiona McNeill, University of Edinburgh, UK
  • Christian Meilicke, University of Mannheim, Germany
  • Peter Mork, MITRE, USA
  • Andriy Nikolov, Metaphacts GmbH, Germany
  • Axel Ngonga, University of Paderborn, Germany
  • George Papadakis, University of Athens, Greece
  • Catia Pesquita, University of Lisbon, Portugal
  • Henry Rosales-Méndez, University of Chile, Chile
  • Juan Sequeda, data.world, USA
  • Kavitha Srinivas, IBM, USA
  • Giorgos Stoilos, National Technical University of Athens, Greece
  • Pedro Szekely, University of Southern California, USA
  • 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

Acknowledgements:

We appreciate support from the Trentino as a Lab initiative of the European Network of the Living Labs at Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.

TasLab logo        IT logo        IT logo        Pistoia Alliance logo        IBM Research logo       
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