Advertisement
Published in:
2009 | OriginalPaper | Chapter
NLP Contribution to the Semantic Web: Linking the Term to the Concept
Authors : Gaëlle Lortal, Nathalie Chaignaud, Jean-Philippe Kotowicz, Jean-Pierre Pécuchet
Published in: Knowledge-Based and Intelligent Information and Engineering Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The Semantic Web (SW) originally aims at studying a system interoperability based on a shared common knowledge base (ontology). Henceforth, the SW sets its heart on a semantic coordination of community parlance representative resources (in complement to a common knowledge base shared by the users). The matter is not only to use techniques to handle a large amount of data, but also to use approaches to keep the community parlance features. Thus, Web documents and folksonomies are the main semantic vehicle. They are little structured and Natural Language Processing (NLP) methods are then beneficial to analyze language specificities with a view to automating tasks about text. This paper describes a use of NLP techniques for the SW through a document engineering application: the information retrieval in a catalogue of online medical resources. Our approach emphasizes benefits of NLP techniques to handle multi-granular terminological resources.