LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
G. Weikum presented the keynote “Knowledge on the Web: Robust and Scalable Harvesting of Entity-Relationship Facts” at DASFAA2010 in Tsukuba, Japan on 1-4 April 2010.
The proliferation of knowledge-sharing communities like Wikipedia and the advances in automatic information extraction from semistructured and textual Web data have enabled the construction of very large knowledge bases. These knowledge collections contain facts about many millions of entities and relationships between them, and can be conveniently represented in the RDF data model. Prominent examples are DBpedia, YAGO, Freebase, Trueknowledge, and others.
These structured knowledge collections can be viewed as “Semantic Wikipedia Databases”, and they can answer many advanced questions by SPARQL-like query languages and appropriate ranking models. In addition, the knowledge bases can boost the semantic capabilities and precision of entity-oriented Web search, and they are enablers for value-added knowledge services and applications in enterprises and online communities.