Matches in ScholarlyData for { ?s ?p The Semantic Web uses formal ontologies as a key instrument that adds structure to the underlying data, but building domain specific ontologies is still a difficult, time consuming and error-prone process because most information is currently available as free-text or semi-structured text. Therefore the development of fast and cheap solutions for ontology learning from text is a key factor for the success and large scale adoption of the Semantic Web. Ontology development is primarily concerned with the definition of concepts and relations between them, so one of the fundamental research problems related to ontology learning is the reliable extraction of concepts from text. To investigate this research problem we will focus on the expert finding application, i.e. the reliable extraction of expertise topics from relevant text that can be assigned to individuals in an organization.. }
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- 22 abstract "The Semantic Web uses formal ontologies as a key instrument that adds structure to the underlying data, but building domain specific ontologies is still a difficult, time consuming and error-prone process because most information is currently available as free-text or semi-structured text. Therefore the development of fast and cheap solutions for ontology learning from text is a key factor for the success and large scale adoption of the Semantic Web. Ontology development is primarily concerned with the definition of concepts and relations between them, so one of the fundamental research problems related to ontology learning is the reliable extraction of concepts from text. To investigate this research problem we will focus on the expert finding application, i.e. the reliable extraction of expertise topics from relevant text that can be assigned to individuals in an organization.".