Sciweavers

Share
KES
2006
Springer

Integrated Document Browsing and Data Acquisition for Building Large Ontologies

8 years 9 months ago
Integrated Document Browsing and Data Acquisition for Building Large Ontologies
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simplified picture of the document's content. We present an ontology currently containing 31,000 named entities in different languages from various domains such as history, geography, politics, sports, arts, etc., which is being developed at the University of Munich (LMU). The underlying graph data model is simple and yet extremely versatile in different application scenarios. We demonstrate a prototype of a graphical interface to both the ontology and to documents on the web or in a local document repository, with a tight interaction in both directions. Occurrences of concepts from the ontology are highlighted and hyperlinked in the documents. Unrecognized entities could be added to the database and related to other concepts in a semiautomatic process. The entity database can also be used for extending full-...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where KES
Authors Felix Weigel, Klaus U. Schulz, Levin Brunner, Eduardo Torres-Schumann
Comments (0)
books