The World Wide Web has become the carrier for the largest human knowledge repository in history. As its knowledge bases are growing towards a practically ‘infinite’ volume, Web-scale Knowledge Representation, Retrieval, and Reasoning (Web-KR3) is becoming a real issue and an urgent task. Although the Web community has developed a number of knowledge representation languages and reasoning methods, when the volume goes Web-scale, existing approaches meet many challenging problems, such as scalability, inconsistency, uncertainty and dynamics. Hence, a unified approach to Web-KR3 needs to be developed.
Following the successful 2010 version of the workshop under the same title. This workshop aims to bringing together researchers from Web research, Artificial Intelligence (AI), high performance computing, cognitive science, knowledge management, and machine learning to discuss all issues of Web-KR3 in a synergistic setting. The workshop will be co-located with the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.
Topics of Interest
Research contributions should be related but are not limited to one or more of the following topics:
- Expressivity of Web-scale common sense knowledge.
- Web enabled real-time retrieval and reasoning.
- New forms of inductive and deductive reasoning (e.g. cognitive and nature inspired methods).
- Spatial and Temporal reasoning methods for the Web.
- Parallelization and distribution techniques for Web-scale knowledge retrieval and reasoning.
- Inconsistency, uncertainty, and relevancy of Web-scale reasoning.
- Granularity of knowledge representation, retrieval and reasoning.
- Web-scale ontology and rule interchange and integration.(e.g. via OWL 2, RIF, and RuleML)
- Dynamics of knowledge updating and forgetting on the Web.
- Distributed query answering over Web-scale data.
- Cross-fertilizing Web-KR3 with Distributed AI, Distributed Description Logic, and Distributed Logic Programming.
Title: Abduction Technology for Web-based Knowledge Representation and Reasoning
Abstract: Abduction is a reasoning from observations to explanations, which is
new knowledge related to the old knowledge. It becomes more and more
important with the growing popularity of Description Logics-based
knowledge representation systems in the Semantic Web. In this talk, we
present the emergency of applying abductive reasoning to web-based
knowledge representation and reasoning applications. We then propose a
general method for abductive reasoning in the Description Logics ALC.
The proposed approach has been implemented. We report some initial
experiments in which we apply our abductive reasoning method to some
realistic ontologies. This evaluation shows that our abductive
reasoning is useful and promising. Finally, scalability issues of
abductive reasoning are discussed.
Dr. Jun Fang is an assistant professor in the school of automation at
Northwestern Polytechnical University, China. He is visiting Knowledge
Representation & Reasoning in the AI department (Faculty of Science)
at the Vrije Universiteit Amsterdam. During his visit, he participates
the LarKC project, which aims to develop the
Large Knowledge Collider, a platform for very large scale semantic web
reasoning. His current work focuses on Semantic Web and ontology
reasoning, especially on scalable reasoning and reasoning with
- Christophe Guéret,, Spyros Kotoulas, and Paul Groth, "TripleCloud: An infrastructure for exploratory querying over Web-scale RDF data".
- Hannes Mühleisen, Tilman Walther, and Robert Tolksdorf, "Web-scale Range Queries in a Self-Organized Storage Service".
- Cheng-Yu Lu, Shou-Wei Ho, Hahn-Ming Lee, and Jan-Ming Ho, "Mining Fuzzy Domain Ontology Based on Concept Vector from Wikipedia Category Network".
Instructions for Camera Ready Version Submission
All submissions for the Web-KR3 2011 Workshop should be submitted through the WI/IAT 2011 Workshop Paper Submission system. Submissions are to be 4 pages in length (IEEE-CS format). A maximum of one additional page can be included, but is subject to a surcharge on the conference registration fee.
All submissions will be reviewed by at least two members of the Program Committee on the basis of :
- relevance to the workshop topic of interests.
- significance and technical quality
- format and clarity
Style Files for Paper Submission
IEEE Computer Society Proceedings Manuscript Formatting Guidelines:
Publication of Accepted Papers
- Accepted papers will be published by the IEEE Press in the WI/IAT 2011 Workshop Proceedings and the electronic copy will be provided on the workshop day.
- The papers in the workshop proceedings will also be available in the IEEE Digital Library, the ACM Digital Library, and will be indexed by Engineering Index Compendex (EI), Inspec, etc (Previous Web-KR3 2010 workshop papers have been indexed in Engineering Index Compendex (EI) and Inspec).
- The organization team will select 1-2 papers and recommend to "Web Intelligence and Agent Systems" (Selected papers must be extended and meet the journal quality).
- Workshop paper submissions: April 4th, 2011
- Notification of Workshop paper acceptance: June 1, 2011
- Camera-ready copies of accepted papers: June 10, 2011
- Workshop date: August 22, 2011
- Zhisheng Huang,
Knowledge Representation and Reasoning Group,
Vrije Universiteit Amsterdam, the Netherlands.
- Manuel Salvadores (University of Southampton, United Kingdom)
- Joshua Shinaver (Rensselaer Polytechnic Institute, USA)
- Surjeet Mishra (Tata Consultancy Services, India)
- Gong Cheng (Nanjing University, China)
- Jeff Pan (The University of Aberdeen, United Kingdom)
- Willem Robert van Hage (Vrije Universiteit Amsterdam, the Netherlands)
- Wei Hu (Nanjing University, China)
- Alessandra Mileo (Digital Enterprise Research Institute Galway, Ireland)
- Raúl García Castro (Universidad Politécnica de Madrid, Spain)
- Adrian Paschke (Freie Universitaet Berlin, Germany)
- Markus Luczak-Rösch (Freie Universität Berlin , Germany)
- Lyndon Nixon (STI International, Vienna)
- Reto Krummenacher (STI Innsbruck, Austria)
Web-KR3 2011 Sponsors
and Organization Partners