Web-KR 2014 - International Workshop On Web-scale Knowledge Representation, Retrieval and Reasoning (Web-KR 2014)

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-KR) 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, regarding scalability, inconsistency, uncertainty and dynamics. Hence, a unified approach to Web-KR needs to be developed.
Following the successful 2010, 2011, 2012 and 2013 versions of the workshop under the same title in Toronto, Canada, Lyon, France, Hawaii, USA, and Burlingame, USA (Summaries of previous workshops can be found in [Spyros et al. 2012] and [Zeng et al. 2013]). This workshop aims at 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-KR in a synergistic setting. The workshop will be co-located with the 2014 ACM International Conference on Information and Knowledge Management (CIKM 2014) in Shanghai, China.
** Topics of Interests **
Research contributions should be related but are not limited to one or more of the following topics:
Knowledge extraction and construction of Web-scale knowledge bases.
Expressivity of Web-scale common sense knowledge.
Cognitive/Brain inspired strategies for Web-scale knowledge processing.
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 enabled real-time retrieval and reasoning.
New forms of inductive and deductive reasoning (e.g. cognitive and nature inspired methods).
Ontology and rule interchange and integration.(e.g. via OWL 2, RIF, and RuleML)
Spatial and Temporal reasoning methods for the Web.
Dynamics of knowledge updating and forgetting on the Web.
Distributed query answering over Web-scale data.
Cross-fertilizing Web-KR with Distributed AI, Distributed Description Logic, and Distributed Logic Programming.