eDocuments Intelligent Enrichment from Distributed Knowledge Resources
When reading a text document, knowledge workers have to "manually" look for additional information: they decide on concepts to further explore, access a Web search engine, form a query and compose the search results with the original document. In this paper, we propose a framework aiming a...
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| creator | Lioudakis, G.V. Foukarakis, I.E. Prezerakos, G.N. Kaklamani, D.I. Venieris, I.S. |
| description | When reading a text document, knowledge workers have to "manually" look for additional information: they decide on concepts to further explore, access a Web search engine, form a query and compose the search results with the original document. In this paper, we propose a framework aiming at transforming electronic documents from passive pieces of information into dynamic entities that search and retrieve relevant information, becoming active partners in the knowledge worker's tasks. For this purpose, trends in natural language processing, semantic knowledge representation and agent-based technologies are combined |
| doi_str_mv | 10.1109/EURCON.2005.1630144 |
| format | Conference Proceeding |
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| identifier | ISBN: 9781424400492 |
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| language | eng |
| recordid | cdi_ieee_primary_1630144 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Agents Grid Information retrieval Intelligent agent Intelligent networks Knowledge management Knowledge representation Natural language processing Ontologies Search engines Semantics Web search Web services |
| title | eDocuments Intelligent Enrichment from Distributed Knowledge Resources |
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