Skip navigation.
Home
Semantic Software Lab
Concordia University
Montréal, Canada

Semantic Content Access Using Domain-Independent NLP Ontologies

Printer-friendly versionPrinter-friendly versionPDF versionPDF version
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
Pagination36--47
Date PublishedJune 23--25
PublisherSpringer
Conference LocationCardiff, UK
ISBN Number978-3-642-13880-5
Abstract

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.

DOI10.1007/978-3-642-13881-2_4
Copyright

Copyright © 2010 Springer-Verlag. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution.

Acceptance Rate

30%

AttachmentSize
nldb2010-ontonlp.pdf3.06 MB