Querying XML data is a well-explored topic with powerful databasestyle query languages such as XPath and XQuery set to become W3C standards. An equally compelling paradigm for que...
Sihem Amer-Yahia, Laks V. S. Lakshmanan, Shashank ...
Abstract. Recent advances in peer to peer (P2P) search algorithms have presented viable structured and unstructured approaches for full-text search. We posit that these existing ap...
Avi Rosenfeld, Claudia V. Goldman, Gal A. Kaminka,...
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
Abstract. Automatic extraction of semantic relationships between entity instances in an ontology is useful for attaching richer semantic metadata to documents. In this paper we pro...
Abstract. This paper proposes an approach which utilizes natural language processing (NLP) and ontology knowledge to automatically denote the implicit semantics of textual requirem...