- From: José M. Giménez-García <jose.gimenez.garcia@univ-st-etienne.fr>
- Date: Tue, 26 Mar 2019 14:47:01 +0100
- To: semantic-web@w3.org
- Message-ID: <CAARbW_bg6-hyYMu3m0v27L_e3FWE3oAYQ7ETahpq2NXhd8x=Pg@mail.gmail.com>
Second International Workshop on Contextualized Knowledge Graphs (CKG2019) Co-located with ISWC 2019 (Auckland, New Zealand, October 26-27, 2019) We cordially invite you to submit your paper to CKG2019, which will be held as a part of the 18th International Semantic Web Conference (ISWC) in Auckland, New Zealand, October 26-27. https://wiki.foodmedy.com/index.php/CKG2019 Previous workshop: https://wiki.foodmedy.com/index.php/CKG2018 ---------------------------------------------- Submission deadline: June 28, 2019 ---------------------------------------------- CKG2019 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. ====== TOPICS ====== —Dimensions of Context: such as provenance, time, location, confidence, trust, certainty, and etc. —Modeling and Representing context on knowledge graphs —Logical reasoning over contextualized knowledge graphs —Sharing and Linking contextualized knowledge graphs —Applications/use cases of contextualized knowledge graphs —NLP and ML techniques for extracting facts along with contextual information —Question answering over contextualized knowledge graphs —Curation and Maintenance of contextualized knowledge graphs —Evaluating and optimization of the performance for queries with contexts. —Benchmarking contextualized knowledge graphs —Compression techniques for contextualized knowledge graphs —Mining and learning algorithms with CKG as Background knowledge —Publishing models for contextualized knowledge graphs —Social media and contextualized knowledge graphs —Domain specific knowledge graph and context (esp. Health and biomedicine) ===================== SUBMISSION GUIDELINES ===================== Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following the Springer LNCS format, and be submitted in PDF on or before June 28, 2019. Submission site: https://easychair.org/conferences/?conf=ckg2019 CKG2019 explicitly welcomes alternative and enhanced submission formats, such as communicative online materials. Authors who are preparing such a submission should contact the workshop organizers in advance to make sure we can accommodate for them in the submission and review process. All deadlines are midnight Hawaii time. The following types of contributions are welcome: Full research papers (8 pages). Position papers (4-6 pages). Short research papers (4-6 pages). System/tool papers (4-6 pages). We especially welcome the papers describing the datasets and use cases with contextual information such as provenance, time, location, certainty, and probability. Dataset paper (4-6 pages). Usecase paper (4-6 pages). ==================== ORGANIZING COMMITTEE ==================== -Vinh Nguyen (vinh.nguyen@nih.gov), US National Library of Medicine, NIH. -Amit Sheth (amit@knoesis.org). Kno.e.sis Center, Wright State University. -José M. Giménez-García (jose.gimenez.garcia@univ-st-etienne.fr). Université Jean Monnet of Saint-Étienne, France. =========== PUBLICATION =========== CKG2019 proceedings will be published at the CEUR workshop series. Best Regards. *Jose M. GimÉnez GarcÍa* Ph.D. student <http://laboratoirehubertcurien.fr> *Laboratoire Hubert Curien* Bâtiment F Campus Manufacture 18 RUE Pr Benoît Lauras 42000 SAINT-ETIENNE FRANCE jose.gimenez.garcia@univ-st-etienne.fr *http://laboratoirehubertcurien.fr <http://laboratoirehubertcurien.fr>* http://www.universite-lyon.fr 04 77 91 57 80 <http://www.facebook.com/Universite.Jean.Monnet.Saint.Etienne> <https://twitter.com/Univ_St_Etienne> <https://www.youtube.com/user/UniJeanMonnetUJM> <https://www.linkedin.com/edu/universit%C3%A9-jean-monnet-saint-etienne-12533> <https://www.instagram.com/univjeanmonnet/>
Received on Tuesday, 26 March 2019 13:48:07 UTC