WWW '03 Proceedings of the 12th international conference on World Wide Web
Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Editorial: Reviewer merits and review control in an age of electronic manuscript management systems
ACM Transactions on Information Systems (TOIS)
Unsupervised Discovery of Compound Entities for Relationship Extraction
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Relationship Web: Blazing Semantic Trails between Web Resources
IEEE Internet Computing
Joint Extraction of Compound Entities and Relationships from Biomedical Literature
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications
Journal of Biomedical Informatics
PREDOSE: A semantic web platform for drug abuse epidemiology using social media
Journal of Biomedical Informatics
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The interaction paradigm offered by most contemporary Web Information Systems is a search-and-sift paradigm in which users manually seek information using hyperlinked documents. This paradigm is derived from a document-centric model that gives users minimal support for scanning through high volumes of text. We present a novel information exploration paradigm based on a data-centric view of corpora, along with a prototype implementation that demonstrates the value in content-driven navigation. We leverage semantic metadata to link data in documents by exploiting named relationships between entities. We also present utilities for gathering user generated navigation trails, critical for knowledge discovery. We discuss the impact of our approach in the context of knowledge exploration.