Foundations of statistical natural language processing
Foundations of statistical natural language processing
Proceedings of the 12th annual ACM international conference on Multimedia
Context-sensitive semantic smoothing for the language modeling approach to genomic IR
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The evolution of metadata from standards to semantics in E-learning applications
Proceedings of the seventeenth conference on Hypertext and hypermedia
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Topic Signature Language Models for Ad hoc Retrieval
IEEE Transactions on Knowledge and Data Engineering
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This paper presents an approach for integrating multiple sources of semantics for the creating metadata. A new framework is proposed to define topics and themes with both manually and automatically generated terms. The automatically generated terms include: terms from a semantic analysis of the collections and terms from previous user's queries. An interface is developed to facilitate the creation and use of such topics and themes for metadata creation. The framework and the interface promote human-computer collaboration in metadata creation. Several principles underlying such approach are also discussed.