[DL] CfP Deadline Extension : WOP2020 at ISWC2020 Workshop on Ontology and Semantic Web Patterns

[Lu Zhou]

The deadline for the paper submission is now extended to August 17. The WOP website is currently experiencing technical difficulties. But we are working on it. If the website is inaccessible, and you would like to submit the paper, here is the submission link of easychair: <https://easychair.org/my/conference?conf=wop2020#>

Workshop on Ontology and Semantic Web Patterns (11th edition) – WOP2020 will take place at the 19th International Semantic Web Conference, ISWC2020, in Athens, Greece in November 2020 <https://iswc2020.semanticweb.org/>.
WOP2020 will be **virtual**.
Workshop Website: <http://ontologydesignpatterns.org/wiki/WOP:2020>
Submission deadline (papers and patterns): June 26, 2020 August 17, 2020


4th Call for Papers: Deadline Extension
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We invite submissions to the 11th Workshop on Ontology Design and Patterns (WOP2020) to be held in conjunction with the International Semantic Web Conference (ISWC) that will take place in Athens from Nov. 2 to 6, 2020. WOP2020 is a full-day workshop consisting of three parts: paper presentations, a poster session, and an interactive breakout discussion session.

The workshop aims to discuss issues of quality in ontology design. In particular, it focuses on the role and use of ontology design patterns (ODPs) for data and knowledge engineering in the Semantic Web, as related to the ontologydesignpatterns.org initiative. 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 a direct link to requirements, reuse, guidance, and better communication. The workshop’s aim is to: 1) provide an arena for discussing patterns, pattern-based ontologies, systems, datasets, and 2) broaden the pattern community by developing its own "discourse" for discussing and describing relevant problems and their solutions.


Topics
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We particularly welcome contributions on topics concerning the development of high-quality ontologies in general (with or without the help of ODPs) as well as studies and applications of ODPs for knowledge graph construction and maintenance. In addition, as usual, we also welcome pattern descriptions of all sorts, including patterns geared towards applications in specific domains such as geosciences, biomedical science, digital humanities, or e-commerce. The main topics of interest are:

1) Use of ontology design patterns for any kind of knowledge engineering, including
– Pattern-based ontology design, conceptual modeling or knowledge engineering broadly
– Use in knowledge graphs or linked data settings (including pattern-driven linking or data publishing)
– Pattern-based information extraction, ontology learning, and relation to NLP
– Use in streaming, ingesting or evolving knowledge
– Use of patterns for ontology evaluation, quality assurance, ontology selection, integration or alignment
– Pattern-based development of semantic applications
– Reasoning with patterns (including automated reasoning, verification, or contextual reasoning)

2) Methods and tools for developing high-quality ontologies (with or without the help of patterns), including
– Ontology engineering by domain experts
– Quality attributes or metrics in ontologies and ontology engineering
– Quality assurance approaches for ontology engineering

3) Development or analysis of ontology design patterns, including
– Pattern extraction
– Analyses of ontology design patterns or their uses
– Antipatterns and their relations to ODPs

4) Development and use of patterns in specific domains, including
– Date lakes, business intelligence, or Big Data integration
– Geosciences, life sciences, engineering, digital humanities, cultural preservation
– IoT, smart homes & cities, smart agriculture
– Semantic technology including social networks, semantic wikis or blogs


Submissions
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We invite the submission of original research results related to the focus areas of the workshop, in one of three categories given below. All submissions are requested through EasyChair.

1) Research papers (maximum 15 pages LNCS style) presenting mature work and established results.
2) Short papers (maximum 5 pages LNCS style) presenting proposed research directions, novel ideas, or more general positions or discussions.
3) Ontology Design Patterns (5-12 pages LNCS style) should solve a particular modeling problem, of relevance either to the broader ontology engineering community or to some specific knowledge domain, in a novel and reusable manner. Note that accepted pattern submissions are presented through a poster session. These must additionally be submitted through the ontologydesignpatterns.org community portal, as described on that page.

Submissions should be made via <https://easychair.org/my/conference?conf=wop2020#>. Detailed instructions can be found at the submission page <http://ontologydesignpatterns.org/wiki/WOP:2020/Submission>.


Important Dates
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Papers submissions: June 26, 2020 August 17, 2020
Papers notifications: August 3, 2020 September 11, 2020
Camera-ready submissions: September 2, 2020 September 21, 2020
Workshop will be held on November 2 or 3, 2020


Proceedings
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Accepted research papers and pattern descriptions will be published online as CEUR-Workshop Proceedings.
Authors of select papers will be also invited to contribute extended versions to a book to be published by IOS Press.


WOP2020 Chairs
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– 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)

For general inquiries, please contact Pascal Hitzler at <hitzler at ksu.edu> or Lu Zhou at <luzhou at ksu.edu>.




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Lu Zhou

Data Semantics Laboratory

Department of Computer Science​

Kansas State University, Manhattan, KS, USA

https://daselab.cs.ksu.edu/people/lu-zhou

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