(7 Full Day & 10 Half Days)
Organisers Title Duration
Achille Fokoue, Thorsten Liebig and Zhe Wu 13th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS2020) FULL DAY
Pascal Hitzler, Torsten Hahmann, Cogan Shimizu, Raghava Mutharaju and Monika Solanki 11th Workshop on Ontology Design and Patterns (WOP) 2020 FULL DAY
Kostas Stefanidis, Praveen Rao and Haridimos Kondylakis SWH 2020: Third International Workshop on Semantic Web Meets Health Data Management FULL DAY
Lucie-Aimée Kaffee, Oana Tifrea-Marciuska, Elena Simperl and Denny Vrandečić Wikidata Workshop Half Day
Muhammad Saleem, Ruben Verborgh, Aidan Hogan and Axel-Cyrille Ngonga Ngomo QuWeDa 2020: 4th Workshop on Storing, Querying, and Benchmarking the Web of Data Half Day
Ricardo Usbeck and Diego Collarana The Sixth International Workshop on Natural Language Interfaces for the Web of Data (NLIWOD) Half Day
Elena Demidova, Stefan Dietze, John Breslin and Simon Gottschalk PROFILES'20: 7th International Workshop on Dataset PROFlLing and Search Half Day
Valentina Ivanova, Patrick Lambrix, Steffen Lohmann, Catia Pesquita and Vitalis Wiens VOILA 2020 - 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data FULL DAY
Manolis Koubarakis, Grigoris Antoniou, Elena Montiel-Ponsoda, Guido Governatori and Eleni Tsalapati International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL) Half Day
Pavel Shvaiko OM-2020: The Fifteenth International Workshop on Ontology Matching FULL DAY
Cogan Shimizu, Rafael Gonçalves, Juan Sequeda and Ruben Verborgh The Semantic Web in Practice: Tools and Pedagogy (PRAXIS) Half Day
Harith Alani, Kalina Bontcheva, H. Sofia Pinto, Raphael Troncy and Freddy Lecue Semantics for Online Misinformation Detection, Monitoring, and Prediction Half Day
Fabrizio Orlandi, Damien Graux, Maria-Esther Vidal, Javier D. Fernández and Jeremy Debattista MEPDaW 2020 - 6th Workshop on Managing the Evolution and Preservation of the Data Web Half Day
Dietrich Rebholz-Schuhmann, Leyla Jael García Castro, Auer Sören, Luiz Bonino and Maria-Esther Vidal First workshop on Research data* management for linked open science - DaMaLOS Half Day
Basil Ell, Philipp Cimiano, Axel-Cyrille Ngonga Ngomo and Agnieszka Lawrynowicz Second Workshop on Semantic Explainability (SemEx 2020) Half Day
Armin Haller, Raphaël Troncy, Franck Cotton, Evangelos Kalampokis and Sarven Capadisli Eighth International Workshop on Semantic Statistics (SemStats 2020) FULL DAY
Vinh Nguyen, Jose M. Gimenez-Garcia and Amit Sheth 3rd International Workshop on Contextualized Knowledge Graphs (CKG 2020) Half Day

13th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS2020)


Duration: Full Day

Thorsten Liebig

derivo GmbH, Ulm, Germany
Achille Fokoue
IBM T.J. Watson Research Center, NY, USA
Zhe Wu
eBay, CA, USA

This established workshop provides a forum for discussing application-oriented issues of Semantic Technologies, with the focus on the development and deployment of systems that turn large volumes of real-world data into actionable knowledge in various domains. This imposes significant scalability requirements on storage and processing systems and demands for reliable workflows to curate and validate data from various sources. SSWS furthermore invites contributions that integrate methods and results from research on Property Graphs found in Graph Databases for instance as well as approaches that combine Knowledge Graphs with machine learning. SSWS welcomes submissions that address relevant research results, report on real-world deployments as well as describe benchmarks and capable back ends or system architectures.

11th Workshop on Ontology Design and Patterns (WOP) 2020


Duration: Full Day

Pascal Hitzler

Kansas State University, USA
(general chair)
Torsten Hahmann
University of Maine, USA
(papers co-chair)
Cogan Shimizu
Kansas State University, USA
(papers co-chair)
Raghava Mutharaju
IIIT-Delhi, India
(patterns co-chair)
Monika Solanki
Agrimetrics Ltd., UK
(patterns co-chair)
Lu Zhou
Kansas State University, USA
(proceedings chair)

This is the eleventh edition in a series of workshops addressing the topic of ontology and semantic web patterns as best practices, related to the initiative. The workshop series covers issues related to quality in ontology design and ontology design patterns (ODPs) for data and knowledge engineering in Semantic Web. The increased attention to ODPs in recent years through their interaction with emerging trends of Semantic Web such as knowledge graphs can be attributed to their benefit for knowledge engineers and Semantic Web developers. Such benefits come in the form of direct link to requirements, reuse, guidance, and better communication. The workshop’s aim is thus not just: 1) providing an arena for discussing patterns, pattern-based ontologies, systems, datasets, but also 2) broadening the pattern community by developing its own “discourse” for discussing and describing relevant problems and their solutions.

Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020)


Duration: Full Day

Kostas Stefanidis

Tampere University, Finland
Praveen Rao
University of Missouri, USA
Haridimos Kondylakis

The advancements in health-care have brought to the foreground the need for flexible access to health-related information and created an ever-growing demand for efficient data management infrastructures. To this direction, many challenges must be first overcome, enabling seamless, effective and efficient access to several health data sets and novel methods for exploiting the existing information. This workshop aims at putting together an interdisciplinary audience that is interested in the fields of semantic web, data management and health informatics to discuss the challenges in health-care data management and to propose new solutions for the next generation data-driven health-care systems.

Wikidata Workshop


Duration: Half Day

Lucie-Aimée Kaffee

University of Southampton
Oana Tifrea-Marciuska
Elena Simperl
Kings College London
Denny Vrandečić
Google AI

Wikidata is an open knowledge base hosted by the Wikimedia Foundation that can be read and edited by both humans and machines. Wikidata acts as the central source of common, open structured data used by Wikipedia, Wiktionary, Wikisource, and others. It is used in a variety of academic and industrial applications.

In recent years, we have seen an increase in the number of scientific publications around Wikidata. While there are a number of venues for the Wikidata community to exchange, none of those publish original research. We want to bridge the gap between these communities and the research events and give the research-focused part of the Wikidata community a venue to meet and exchange information and knowledge.

The Wikidata Workshop 2020 focuses on the challenges and opportunities of working on a collaborative open-domain knowledge graph such as Wikidata, which is edited by an international and multilingual community. We encourage submissions that observe the influence such a knowledge graph has on the web of data, as well as those working on improving this knowledge graph itself. This workshop brings together everyone working around Wikidata in both the scientific field and industry to discuss trends and topics around this collaborative knowledge graph.

QuWeDa 2020: 4rth Workshop on Querying and Benchmarking the Web of Data


Duration: Half Day

Muhammad Saleem
Ruben Verborgh
Aidan Hogan
Axel-Cyrille Ngonga Ngomo

The constant growth of Linked Data on the Web raises new challenges for querying and integrating massive amounts of data across multiple datasets. Such datasets are available through various interfaces, such as data dumps, Linked Data Platform, SPARQL endpoints and Triple Pattern Fragments. In addition, various sources produce streaming data. Efficiently querying these sources is of central importance for the scalability of Linked Data and Semantic Web technologies. To exploit the massive amount of data to its full potential, users should be able to query and combine this data easily and effectively. This workshop at the International Semantic Web Conference (ISWC) seeks original articles describing theoretical and practical methods and techniques for fostering, querying, consuming, and benchmarking the Web of Data.

The Sixth International Workshop on Natural Language Interfaces for the Web of Data


Duration: Half Day

Diego Collarana

Fraunhofer IAIS Dresden, Germany (Chair)
Ricardo Usbeck
Fraunhofer IAIS Dresden, Germany (Chair)
Key-Sun Choi
KAIST, South Korea
Jin-Dong Kim
Database Center for Life Science (DBCLS), Japan
Axel-Cyrille Ngonga Ngomo
DICE research group, Paderborn University, Germany

The NLIWOD focuses on the advancement of natural language (NL) interfaces to the Web of Data. The workshop has been organized four times within ISWC, with a focus on soliciting discussions on the development of question answering systems, chatbots, and other NL techniques. It is a yearly highlight for the active NL interface community centered around semantic technologies. With NLIWOD, we attract people from academia as well as from industry to promote active collaboration, to extend the scope of currently addressed topics, and to foster the reuse of resources developed so far.

In each installation, we keep the main tenor of the workshop but include current topics from natural language interface. This year, we broaden the scope of the workshop series to truly conversational systems and chatbots (inspired by the Amazon Alexa challenge and the advances in personal assistants) as well as focus on the combination of recently successful Deep Learning techniques and Knowledge Graphs (inspired by the last Dagstuhl workshop on the future of Knowledge Graphs) which are both increasingly important business intelligence factors.

PROFILES’20: 7th International Workshop on Dataset PROFlLing and Search


Duration: Half Day

Elena Demidova

L3S Research Center, Germany
Stefan Dietze
GESIS Leibniz Institute for the Social Sciences, Germany
John Breslin
National University of Ireland, Galway
Simon Gottschalk
L3S Research Center, Germany



The Web of Data has seen tremendous growth recently. New forms of structured data have emerged in the form of knowledge graphs, Web markup, such as, as well as entity-centric data in Web tables. Considering these rich, heterogeneous and evolving data sources which cover a wide variety of domains, exploitation of Web Data becomes increasingly important in the context of various applications, including dataset search, question answering and fact verification. These applications require reliable information on dataset characteristics, including general metadata, quality features, statistical information, dynamics, licensing, and provenance. Lack of a thorough understanding of the nature, scope and characteristics of data from particular sources limits their take-up and reuse, such that applications are often limited and focused on well-known reference datasets.

The objective of this workshop is to bring together researchers and practitioners interested in the development of techniques for dataset profiling and deriving quality analytics, as well as performing dataset search and dataset retrieval on the Web while taking dataset profiles into account. We are interested in approaches to analyse, characterise and discover data sources. We aim to discuss technologies addressing data profiling and search – including semantics, information retrieval for Web Data (ranking algorithms and indexing), in particular in the context of decentralised and distributed systems, such as the Web. We want to facilitate a discussion around data search across formats and domain-specific applications.

VOILA 2020 – 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data


Duration: Full Day

Valentina Ivanova

RISE Research Institutes of Sweden
Patrick Lambrix
Linköping University, Sweden
Steffen Lohmann
Fraunhofer IAIS, Germany
Catia Pesquita
University of Lisbon, Portugal
Vitalis Wiens
L3S, TIB, & Leibniz University Hanover, Germany

‘A picture is worth a thousand words’, we often say, yet many areas are in demand of sophisticated visualization techniques, and the Semantic Web is not an exception. The size and complexity of ontologies and Linked Data in the Semantic Web constantly grows and the diverse backgrounds of the users and application areas multiply at the same time. Providing users with visual representations and sophisticated interaction techniques can significantly aid the exploration and understanding of the domains and knowledge represented by ontologies and Linked Data. There is no one-size-fits-all solution but different use cases demand different visualization and interaction techniques. Ultimately, providing better user interfaces, visual representations and interaction techniques will foster user engagement and likely lead to higher quality results in different applications employing ontologies and proliferate the consumption of Linked Data.

International Workshop on Artificial Intelligence for Legal Documents (AI4LEGAL)


Duration: Half Day

Grigoris Antoniou

University of Huddersfield, United Kingdom
Guido Governatori
Data 61 CSIRO, Australia
Manolis Koubarakis
National and Kapodistrian University of Athens and Leader of Nomothesia project, Greece
Elena Montiel Ponsoda
Universidad Politécnica de Madrid, Spain
Eleni Tsalapati
National and Kapodistrian University of Athens, Greece

Legislation applies to every aspect of people’s living and evolves continuously building a huge network of interlinked legal documents. Therefore, it is important for a government to offer services that make legislation easily accessible to the citizens aiming at informing them, enabling them to defend their rights, or to use legislation as part of their job. It is equally important to have law professionals (lawyers, judges, etc.) access legislation in ways that allow them to do their job easily (e.g., they might need to be able to see the evolution of a law over time). Finally, in the age of the Web, it is important to enable software developers to develop applications for citizens and law professionals easily, by connecting the available laws with other kinds of government or private sector information. Towards this direction, there are already many countries in Europe and elsewhere that have computerized the legislative process by developing platforms for archiving legislation documents and offering on-line access to them using standards such as Akoma Ntoso (aka LegalDocML) which is an OASIS standard, the European standard CEN-MetaLex, the European Legislation Identifier, the European Case Law Identifier etc. There also private companies (e.g., ROSS Intelligence, LexisNexis, RAVEL, LexMachina etc.) that specialize on providing digital services for law, case law, compliance, contracts, etc. The vision of the AI4LEGAL international workshop is to bring together Artificial Intelligence researchers and practitioners to work on the problem of digitization of legislation and legal documents in today’s interconnected world.

OM-2020: The Fifteenth International Workshop on Ontology Matching


Duration: Full Day

Pavel Shvaiko

Jérôme Euzenat
Ernesto Jiménez-Ruiz
Oktie Hassanzadeh
Cássia Trojahn

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 the following 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) 2020 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.

The Semantic Web in Practice: Tools and Pedagogy (PRAXIS)


Duration: Full Day

Cogan Shimizu
Rafael Goncalves
Juan Sequeda
Ruben Verborgh

As knowledge graphs become increasingly important resources in the public and private sectors, there is an increasing need for expertise in developing and maintaining these resources. The workshop’s aim is twofold: practical tools and effective pedagogy. That is, solicit and understand the tooling infrastructure needs of both industry and academia. In doing so, we identify points in workflows to focus future research endeavors while providing a critical need to the community. And secondly, determine effective ways for teaching Semantic Web concepts (and their importance) to existing industry professionals, as well as to students in an academic setting. Of course, there is strong overlap, as these points are deeply entwined and inform each other.

Due to the impact of COVID-19 and the virtual format, we have opted to make some small changes to the design and execution of PRAXIS 2020.

  • The workshop will be conducted virtually and synchronously.
  • Reduced to 3 hours.
  • Time TBD, and dependent on timezone decision made by ISWC.
  • The workshop will be conducted un-conference style.
  • The workshops will be hosted through Zoom and run through ISWC’s infrastructure.
  • Authors of submissions will be invited to give 5-10 minute lightning talks on their submission, and these submissions will act as seed topics for our un-conference.
  • We intend to brainstorm and discuss tools and education along the dimensions outlined in the description.
  • The results of our brainstorming and discussion, alongside submissions from our authors, will be placed into a GitHub repository and given a Zenodo DOI, per the original Call for Submissions for PRAXIS2020.

Semantics for Online Misinformation Detection, Monitoring, and Prediction


Duration: Half Day

Harith Alani

The Open University, UK
Kalina Bontcheva
University of Sheffield, UK
Sofia Pinto
INESC-ID/IST, Universidade de Lisboa, Portugal
Raphael Troncy
EURECOM, Sophia Antipolis, France
Freddy Lecue
CortAIx, Thales, Montreal, Canada

In the age of post-truth, misinformation has become too dangerously common, and is actively and successfully influencing public perception and stance towards many sensitive issues and domains, including economy, health, environment, culture, and foreign policy. Today, around half the world’s population have access to the Internet, where they can create, propagate, and consume information instantly and globally. In spite of this rising addiction to rapid consumption of online information, people and current technologies are yet to adapt to the age of misinformation, where incorrect or misleading information is intentionally or unintentionally spread across all media, and in particular across the Web and social media. This workshop aims to gather cutting edge research, expertise, and techniques generated by the Semantic Web community, to join the emerging global battle against misinformation.

MEPDaW 2020 – 6th Workshop on Managing the Evolution and Preservation of the Data Web


Duration: Half Day

Fabrizio Orlandi

ADAPT Centre, Trinity College Dublin, Ireland
Damien Graux
ADAPT Centre, Trinity College Dublin, Ireland
Maria-Esther Vidal
Universidad Simon Bolivar and Technische Informationsbibliothek (TIB)
Javier D. Fernández
F. Hoffmann-La Roche AG, Switzerland
Jeremy Debattista
TopQuadrant Inc.



There is a vast and rapidly increasing quantity of scientific, corporate, government, and crowd-sourced data openly published on the Web. Open Data plays a catalyst role in the way structured information is exploited on a large scale. A traditional view of digitally preserving these datasets by “pickling and locking them away” for future use, like groceries, conflicts with their evolution. There are several approaches and frameworks (Linked Data Stack, PoolParty Suite, etc.) that manage a full life-cycle of the Data Web. More specifically, these solutions are expected to tackle major issues such as the synchronisation problem (monitoring changes), the curation problem (repairing data imperfections), the appraisal problem (assessing the quality of a dataset), the citation problem (how to cite a particular version of a dataset), the archiving problem (retrieving a specific version of a dataset), and the sustainability problem (preserving at scale, ensuring long-term access). During the past five years, the MEPDaW workshop series has been gathering researchers from the community around these challenges. So far the series successfully published more than 25 research efforts allowing more than 50 individual authors to present and share their ideas.

First workshop on Research data* management for linked open science – DaMaLOS


Duration: Half Day

Prof. Dr. Dietrich Rebholz-Schuhmann

ZB MED Information Centre for Life Sciences
Dr. Leyla Garcia
ZB MED Information Centre for Life Sciences
Prof. Dr. Soren Auer
TIB Leibniz Information Centre for Science and Technology University Library
Prof. Dr. Maria-Esther Vidal
TIB Leibniz Information Centre for Science and Technology University Library
Dr. Luiz Bonino


Research data is the mirror of experimental work. It complements scientific publications and is core input to data driven research. Most research activities follow the research data cycle, where data is continuously used, modified and produced, transitioning from one research group to another. For this cycle to prosper, we require Research Data Management plans supporting the findable, accessible, interoperable and reusable (FAIR) principles. Despite playing an important role, data on its own is not sufficient to establish Open Science nor Linked Open Science, i.e., Open Science plus Linked Open Data (LOD) principles. LOD principles, a.k.a. LOD 5 stars, follow objectives that overlap with FAIR principles such as “openness” and the use of “non-proprietary open formats”. In this workshop we will explore what is required for RDM to effectively instantiate Linked Open Science, including effective support for LOD, automation by, e.g., machine/deep learning approaches, and innovations to include supporting data elements such as the software used to produce/consume it or the tutorials showcasing usage and fostering further developments. Furthermore, data management should be complemented by other research objects management plans, e.g., software and workflows, in order to get an integrated layer supporting all the edges of Linked Open Science. In this workshop, we will focus on data management for Linked Open Science but we will also have opportunities to discuss how other research objects, i.e., other than data objects, play an important role.

Second Workshop on Semantic Explainability (SemEx 2020)


Duration: Half Day

Philipp Cimiano

Bielefeld University
Basil Ell
Bielefeld University, Oslo University
Agnieszka Lawrynowicz
Poznan University of Technology
Laura Moss
University of Glasgow
Axel-Cyrille Ngonga Ngomo
Paderborn University



Explainability of complex systems such as those based on machine learning and artificial intelligence has been expressed not only as a desired property, but also as required by law: the GDPR “right to explanation” demands that the results of ML/AI-based decisions are explained. The explainability of complex systems becomes increasingly relevant as more and more aspects of our lives are influenced by these systems‘ actions and decisions. Several workshops address the problem of explainable AI, but none has a focus on semantic technologies. We believe semantic technologies and explainability coalesce in two ways. First, systems based on semantic technologies must be explainable like all other AI systems. Furthermore, semantic technology seems predestined to support in rendering explainable those systems that are not themselves based on semantic technologies. This workshop aims to bring together international experts interested in the application of semantic technologies for explainability of AI/ML-based approaches to stimulate research, engineering and evaluation – towards making machine decisions transparent, re-traceable, comprehensible, interpretable, explainable, and reproducible. Semantic technologies have the potential to play an important role in the field of explainability since they lend themselves very well to the task, as they enable to model users‘ conceptualizations of the problem domain.

Eighth International Workshop on Semantic Statistics


Duration: Full Day

Sarven Capadisli

TIB Leibniz Information Centre for Science and Technology, Germany
Franck Cotton
INSEE, France
Armin Haller
ANU, Australia
Evangelos Kalampokis
University of Macedonia, Greece
Raphaël Troncy

The goal of this workshop is to explore and strengthen the relationship between the Semantic Web and statistical communities, to provide better access to the data and metadata held by statistical offices. It focuses on ways in which statisticians can use Semantic Web technologies and standards in order to formalize, publish, document and link their data and metadata, and also on how statistical methods can be applied on linked data. This is the 8th workshop in a series that started at the International Semantic Web Conference in 2013 and runs since every year at ISWC.

3rd International Workshop on Contextualized Knowledge Graphs


Duration: Half Day

Vinh Nguyen
Jose M. Gimenez-Garcia
Amit Sheth

CKG2020 is concerned with knowledge graphs with contexts, i.e., every fact is enriched by the contexts (e.g., provenance, time, location, or confidence). Contextualized Knowledge Graphs (CKGs) have been gaining importance in the recent years. Research topics include contextualized and distributed Description Logics, annotation of statements in the Semantic Web, and Distributed Knowledge Repositories. Real-world use cases include the creation of collaborative knowledge bases, such as Wikidata, where qualifiers and references can be attached to every statement. This workshop aims to serve as a gathering point for researchers and industry interested in CKGs to discuss current challenges and future solutions, and raise awareness about this emerging topic to a more broader Semantic Web community. This workshop addresses fundamental as well as practical topics including (i) logical models to encode the contextual annotations in the graph, (ii) reasoning and querying over CKGs, (iii) using CKGs in applications such as query answering, data mining, or machine learning, (iv) techniques to benchmark or improve the performance of CKG storage and querying systems. This workshop is complemented by a W3C community on this topic.

Call For Papers!

Click on the button to view the joint ISWC "Call for papers