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https://ieeexplore.ieee.org/document/5432263/
Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge Abstract: In this article we present our experience developing QuestSemantics (QS), an agent-based platform that uses fine-grained business knowledge to support semiautomatic discovery, annotation, filtering and retrieval of information resources on the Internet and in intranets.
https://sites.ualberta.ca/~reformat/ece627w2013/papers/IEEEXplore-40.pdf
Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge Valentina Tamma, University of Liverpool well as the assessment of the retrieved pages’ rel-evance, comes mainly from human sources, with limited support from software.1 Although this
https://www.researchgate.net/publication/220629239_Semantic_Web_Support_for_Intelligent_Search_and_Retrieval_of_Business_Knowledge
Semantic Web Support for Intelligent Search and Retrieval of Business Knowledge Article in Intelligent Systems, IEEE 25(1):84-88 · January 2010 with 5 Reads How we measure 'reads'Author: Valentina Tamma
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005432263
software agents business data processing data mining information filtering Internet knowledge representation semantic Web semantic based search intelligent search intelligent retrieval business knowledge QuestSemantics agent-based platform fine-grained business knowledge semiautomatic discovery information resource retrieval intranets task ...Cited by: 11
http://www.rroij.com/open-access/survey-on-intelligent-semantic-web-search-engines-as-generic-search-engine.php?aid=55508
However to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper we present survey on the search engine generations and the role of search engines in intelligent web and semantic search …Author: Deepika Dasari Soorasamharan, Pranamita N
https://semantic-web.com/2018/06/12/how-semantic-technologies-can-help-smart-cities-succeed/
Jun 12, 2018 · Artificial Intelligence can reveal new insights from your data, something that was not possible before. Every AI strategy relies on data quality to provide accurate outputs. Semantic technologies support any AI initiative with a robust information architecture that increases data quality along the entire data lifecycle.
https://arxiv.org/pdf/1102.0831
The Semantic Web will support more efficient discovery, automation, integration and reuse of data and provide support for interoperability problem which can not be resolved with current web technologies.
https://simplea.com/Articles/what-is-the-semantic-web
The Semantic Web not only improves traditional search, but it is facilitating more seamless, intelligent, and integrated customer experience journeys as well. For example, with semantically connected and described data, a digital assistant could send users local live music recommendations in their area.
https://www.researchgate.net/publication/49612122_Intelligent_Semantic_Web_Search_Engines_A_Brief_Survey
The Semantic Web will support more efficient discovery, automation, integration and reuse of data and provide support for interoperability problem which can not be resolved with current web...
https://www.searchenginejournal.com/semantic-search-engines/9832/
Apr 13, 2009 · The aim of the engine is to return meaningful sentences for the search query. Its a technique that lies midway between a site summary and summary of all results. For example, the search for gives...
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