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| ASCII Text | x | ||
| Valentina Tamma, "Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge," IEEE Intelligent Systems, vol. 25, no. 1, pp. 84-88, January/February, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2010.25, author = {Valentina Tamma}, title = {Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge}, journal ={IEEE Intelligent Systems}, volume = {25}, number = {1}, issn = {1541-1672}, year = {2010}, pages = {84-88}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2010.25}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge IS - 1 SN - 1541-1672 SP84 EP88 EPD - 84-88 A1 - Valentina Tamma, PY - 2010 KW - Agents KW - Semantic Web KW - information retrieval KW - ontologies VL - 25 JA - IEEE Intelligent Systems ER - | |||
Current Web search tasks require human intervention both to devise queries and to assess the retrieved resources. Although this type of processing is still adequate for searches returning a few hundred pages, it can't scale to the volume of information produced when enterprises couple the vast amount of data available on the Web with company documents and databases. Leveraging Semantic Web technologies, the QuestSemantics system uses agents to automate discovery, annotation, filtering and retrieval of information resources on the Internet and in intranets.
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