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Semantic Software Lab
Concordia University
Montréal, Canada

Semantic Content Access Using Domain-Independent NLP Ontologies

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Title{Semantic Content Access Using Domain-Independent NLP Ontologies}
Publication TypeConference Paper
Year of Publication2010
AuthorsWitte, R., and R. Krestel
Refereed DesignationRefereed
EditorsHopfe, C. J., Y. Rezgui, E. Métais, A. D. Preece, and H. Li
Conference Name15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010)
Tertiary TitleLecture Notes in Computer Science
Date PublishedJune 23--25
Conference LocationCardiff, UK
ISBN Number978-3-642-13880-5

We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of existing text mining pipelines directly to end users. Our approach is domain-independent and relies on existing NLP analysis tasks such as automatic multi-document summarization, clustering, question-answering, and opinion mining. Users can interactively trigger semantic processing services for tasks such as analyzing product reviews, daily news, or other document sets.


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