An improved semantic information searching scheme based multi-agent system and an innovative similarity measure

被引：0
作者：
机构：
[1] Computer Science Department, Abbes Laghrour University
[2] Computer Science Department, Laboratoire D'Informatique Intelligente, Mohamed Khider University
来源：
Nessah, D. (nhdjamel@yahoo.fr) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 08期
关键词：
Inference engine; Metadata; Multi-agent system; Ontology; Semantic annotation; Semantic information search; Semantic web; Similarity measure; Web languages; WordNet;
D O I：
10.1504/IJMSO.2013.058411
中图分类号：
学科分类号：
摘要：
The key task for the web, namely, web searches, is evolving towards some novel form of semantic web search. In fact, most information retrieval systems are based on static vectors representations. Two major difficulties when a researcher uses current information retrieval systems are how to filter out irrelevant documents, and how to discover latest or more significant documents. Recently a very promising approach to semantic web search is based on combining standard web pages and search queries with ontological background knowledge. In this perspective we will describe a model to hold a document's noise, and incompleteness. For this, we merge a syntactic keyword search with purely semantic search based domain ontology and a multi-agent system to solve such distributed problems. Then we perform a ranking algorithm on returned documents, and we propose a new semantic similarity measure between concepts based on the WordNet taxonomy structure. Copyright © 2013 Inderscience Enterprises Ltd.
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页码：282 / 297
页数：15
相关论文
共 21 条
  • [1] Adnan S., Tahir A., Basharat A., De Cesare S., An Agent-Oriented Architecture for Researcher Profiling and Association Using Semantic Web Technologies, pp. 77-91, (2011)
  • [2] Birukou A., Blanzieri E., Giorgini P., Implicit: A multi-agent recommendation system for web search, Journal Autonomous Agents and Multi-Agent Systems, 24, 1, pp. 141-174, (2012)
  • [3] Brickley D., Guha R.V., RDF Vocabulary Description Language 1.0: RDF Schema: W3C Recommendation, (2004)
  • [4] Broda B., Kurc R., Piasecki M., Evaluation method for automated Wordnet expansion, International Joint Conferences, SIIS 2012, Warsaw, Poland, pp. 422-433, (2012)
  • [5] Castells P., Fernandez M., Vallet D., An adaptation of the vector space model for ontology-based information retrieval, IEEE Transactions on Knowledge and Engineering, 19, 2, (2009)
  • [6] Chauhan R., Goudar R., Rathore R., Singh P., Rao S., Ontology based automatic query expansion for semantic information retrieval in sports domain, ICECCS 2012, Kochi, India, pp. 422-433, (2010)
  • [7] D'aquin M., Ding L., Motta E., Semantic Web Search Engines, pp. 659-700, (2011)
  • [8] Espinasse B., Fournier S., Freitas F., AGATHE: Une architecture générique à base d'agents et d'ontologies pour la collecte d'information sur domaines restreints du web, CORIA 2007, Saint Etienne France, pp. 367-383, (2007)
  • [9] Fellbaum C., WordNet, pp. 231-243, (2010)
  • [10] Huang R., Shi Z., Multi-agent based web search with heterogeneous semantics, PRIMA 2009, Bangkok, Thailand, pp. 158-170, (2009)
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