Type

Conference Proceedings

Authors

Melike Sah
Vincent Patrick Wade

Subjects

Computer Science

Topics
metadata generation customer care information system enterprise web sites computer science metadata extraction information retrieval

Automatic Metadata Extraction from Multilingual Enterprise Content (2010)

Abstract Enterprises provide professionally authored content about their products/services in different languages for use in web sites and customer care. For customer care, personalization/personalized information delivery is becoming important since it re-encourages users to return to the service provider. Personalization usually requires both contextual and descriptive metadata. But current metadata authored by content developers is usually quite simple. In this paper, we introduce an automatic metadata extraction framework, which can extract multilingual metadata from the enterprise content, for a personalized information retrieval system. We introduce two new ontologies for metadata creation and a novel semi-automatic topic vocabulary extraction algorithm. We demonstrate and evaluate our approach on the English and German Symantec Norton 360 technical content. Evaluations indicate that the proposed approach produces rich and high quality metadata for a personalized information retrieval system.
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Full list of authors on original publication

Melike Sah, Vincent Patrick Wade

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Vincent Patrick Wade
Trinity College Dublin
Total Publications: 123