- From: Ying Ding <dingying@indiana.edu>
- Date: Wed, 30 Jan 2019 19:32:35 -0500
- To: SIGIR@LISTSERV.ACM.ORG, webscience-announce@ecs.soton.ac.uk, public-schemaorg@w3.org, public-vocabs@w3.org, "semantic-web@w3.org" <semantic-web@w3.org>, "ml-news@googlegroups.com" <ml-news@googlegroups.com>
CALL FOR PAPER NOTICE: Due to many requests we received, we extend our deadline for paper submission to Feb 10, 2019. Important Dates Paper submission: Feb 10, 2019 Paper notification: Feb 25, 2019 Camera ready: Mar 1, 2019 ------------------------------------------------------------------------------ The First International Workshop on Knowledge Graph Technology and Applications Co-located with WWW2019 (https://www2019.thewebconf.org/) https://datainnovation.soic.indiana.edu/www2019_kgta/index.html# May 13, 2019, San Francisco, California, USA ------------------------------------------------------------------------------ Knowledge Graphs are graph structures that capture knowledge in the form of entities, relationships between them, properties, and additional information including provenance. Along with Semantic Web standards such as RDF, OWL, and SPARQL, advances in Machine Learning, Deep Learning, Natural Language Processing, and Information Retrieval has led to automated construction of knowledge graphs such as DBpedia, YAGO, Wikidata, proprietary Knowledge Graphs such as those from Google, LinkedIn, and Microsoft, and Product Knowledge Graphs from companies such as Amazon and eBay. Knowledge Graphs are used in a range of applications including search, question answering, data integration, recommender systems, etc., across several domains such as the Web, e-commerce, healthcare, geoscience, manufacturing, aviation, and power, oil and gas. There are several challenges related to knowledge graphs from the perspective of both the technology and its applications. This workshop aims to foster discussions along these perspectives. Topics and Themes Topics of interest include, but are not limited to the following. We especially encourage Knowledge Graph applications related to web search, conversational agents, recommender systems, search engines, and the ones in the Industrial domain such as manufacturing, aviation, power, oil and gas. Construction and Maintenance of Knowledge Graphs - Handling noisy and incomplete data - Entity linking and resolution - Consistency checking when adding new knowledge - Collaborative maintenance of knowledge graphs - Provenance solutions for Knowledge Graphs - Handling uncertain content in Knowledge Graphs Operations over Knowledge Graphs - Innovative methods for querying and interacting with knowledge graphs - Searching over knowledge graphs - Reasoning over knowledge graphs - Explaining knowledge graph contents Mining Knowledge Graphs - Machine Learning and deep learning techniques for knowledge graph mining - Heterogeneous graph mining Storage mechanisms for Knowledge Graphs - Graph databases, triple stores - New storage and indexing schemes for property graphs Knowledge Graphs for NLP and IR - Web search, conversational agents, recommender systems, information access systems, and summary generation Knowledge Graphs in the industry - manufacturing, aviation, power, oil and gas, healthcare, banking, finance, and IoT - Industry use cases and best practices Submission Guidelines Authors can submit either full papers of 8 pages in length or short papers of 4 pages length in the ACM format (https://www.acm.org/publications/proceedings-template), with the "sigconf" option. Since we plan to follow single-blind review process, there is no need to anonymize the author list. Since the workshop papers will be included in the companion volume of The Web Conference proceedings, it is important to follow the suggested submission format. Submissions can be made using EasyChair at https://easychair.org/conferences/?conf=kgtawww19. Authors of the accepted papers will be invited to give a short lightning talk and/or present a poster at the workshop. High quality submissions with substantial revisions will be invited to submit to Data Intelligence Journal (http://www.data-intelligence-journal.org/) and the Special Issue on Linked Data and Knowledge Graph in Large Organisations at the Information Journal (https://www.mdpi.com/journal/information/special_issues/Knowledge_Graphs). Important Dates Paper submission: Feb 10, 2019 Paper notification: Feb 25, 2019 Camera ready: Mar 1, 2019 CONTACT INFORMATION Raghava Mutharaju: raghava.mutharaju@iiitd.ac.in Chenyan Xiong: chenyan.xiong@microsoft.com Ying Ding: dingying@indiana.edu Workshop Organizers (in alphabetic order) Huajun Chen,Zhejiang University, China Laura Dietz, University of New Hampshire, USA Ying Ding, Indiana University Bloomington, USA Wendy Hall, University of Southampton, UK James Hendler, Rensselaer Polytechnic Institute, USA Deborah McGuinness, Rensselaer Polytechnic Institute, USA Edgar Meij, Bloomberg LP, USA Sam Molyneux, Chan Zuckerberg Initiative, USA Varish Mulwad, GE Global Research Center, USA Raghava Mutharaju, IIIT-Delhi, India Jeff Z. Pan, University of Aberdeen, UK Xiang Ren, University of Southern California, USA Jie Tang, Tsinghua University, China Alex Wade, Chan Zuckerberg Initiative, USA Mengting Wan, University of California, San Diego (UCSD), USA Chenyan Xiong, Carnegie Mellon University, USA Min Zhang, Tsinghua University, China
Received on Thursday, 31 January 2019 00:33:07 UTC