Information Retrieval: Computational and Theoretical Aspects
Information Retrieval: Computational and Theoretical Aspects
WWW '03 Proceedings of the 12th international conference on World Wide Web
Lucene in Action (In Action series)
Lucene in Action (In Action series)
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
Rank-biased precision for measurement of retrieval effectiveness
ACM Transactions on Information Systems (TOIS)
ProtocolDB: classifying resources with a domain ontology to support discovery
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Faceted search and retrieval based on semantically annotated product family ontology
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Literature Fingerprinting: A New Method for Visual Literary Analysis
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
An ontology-driven approach for semantic information retrieval on the Web
ACM Transactions on Internet Technology (TOIT)
Visual analysis of documents with semantic graphs
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
IVEA: an information visualization tool for personalized exploratory document collection analysis
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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Spyglass is an ontology-based information retrieval system designed to help analysts explore very large collections of unstructured text documents. The tool includes two main components: server and client. The server is a web-based service that uses a specific domain ontology to index a collection of documents, answer queries from the client, and provide retrieval and visualization services based on the ontology and the resulting index. The client is a graphical user interface which allows analysts to explore the document collections, query single or multiple entities of interest of the ontology and retrieve the documents relevant to the query. The rich set of visualization tools in Spyglass will be presented in this paper.