DocBook: The Definitive Guide with CD-ROM
DocBook: The Definitive Guide with CD-ROM
Automating metadata generation: the simple indexing interface
WWW '05 Proceedings of the 14th international conference on World Wide Web
Extracting Enterprise Vocabularies Using Linked Open Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Automatic mining of cognitive metadata using fuzzy inference
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Finding relevant information of certain types from enterprise data
Proceedings of the 20th ACM international conference on Information and knowledge management
Semantic search in the World News domain using automatically extracted metadata files
Knowledge-Based Systems
Automatic metadata mining from multilingual enterprise content
Web Semantics: Science, Services and Agents on the World Wide Web
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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.