The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
Despite the intense interest towards realizing the Semantic Web vision, most existing RDF data management schemes are constrained in terms of efficiency and scalability. Still, th...
Cathrin Weiss, Panagiotis Karras, Abraham Bernstei...
The paper discusses the potential of the usage of Extended Boolean operations for personalized information delivery on the Internet based on semantic vector representation models. ...
Mobile is becoming a ubiquitous platform for context-aware intelligent computing. One fundamental but usually ignored issue is how to efficiently manage (e.g., index and query) the...
Yuan Zhang, Ning Zhang, Jie Tang, Jinghai Rao, Wen...
1 The latent semantic indexing (LSI) methodology for information retrieval applies the singular value decomposition to identify an eigensystem for a large matrix, in which cells re...