COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
Experiments on pattern-based ontology design
Proceedings of the fifth international conference on Knowledge capture
International Journal of Human-Computer Studies
Relation extraction from wikipedia using subtree mining
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Large-scale taxonomy mapping for restructuring and integrating wikipedia
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Gathering lexical linked data and knowledge patterns from FrameNet
Proceedings of the sixth international conference on Knowledge capture
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Towards a pattern science for the Semantic Web
Semantic Web
Acquiring thesauri from wikis by exploiting domain models and lexical substitution
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Knowledge acquisition and the web
International Journal of Human-Computer Studies
Automatic typing of DBpedia entities
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Knowledge pattern extraction and their usage in exploratory search
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Aemoo: exploring knowledge on the web
Proceedings of the 5th Annual ACM Web Science Conference
Hi-index | 0.00 |
What is the most intuitive way of organizing concepts for describing things? What are the most relevant types of things that people use for describing other things? Wikipedia and Linked Data offer knowledge engineering researchers a chance to empirically identifying invariances in conceptual organization of knowledge i.e. knowledge patterns. In this paper, we present a resource of Encyclopedic Knowledge Patterns that have been discovered by analyizing the Wikipedia page links dataset, describe their evaluation with a user study, and discuss why it enables a number of research directions contributing to the realization of a meaningful Semantic Web.