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Agent Based Knowledge Management Solution using Ontology, Semantic Web Services and GIS

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  • Andreea DIOSTEANU
  • Liviu Adrian COTFAS

Abstract

The purpose of our research is to develop an agent based knowledge management application framework using a specific type of ontology that is able to facilitate semantic web service search and automatic composition. This solution can later on be used to develop complex solutions for location based services, supply chain management, etc. This application for modeling knowledge highlights the importance of agent interaction that leads to efficient enterprise interoperability. Furthermore, it proposes an „agent communication language†ontology that extends the OWL Lite standard approach and makes it more flexible in retrieving proper data for identifying the agents that can best communicate and negotiate.

Suggested Citation

  • Andreea DIOSTEANU & Liviu Adrian COTFAS, 2009. "Agent Based Knowledge Management Solution using Ontology, Semantic Web Services and GIS," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(4), pages 90-98.
    • Handle: RePEc:aes:infoec:v:13:y:2009:i:4:p:90-98
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    References listed on IDEAS

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    1. Constanta Nicoleta BODEA & Radu Ioan MOGOS, 2007. "An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(4), pages 115-118.
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    Cited by:

    1. Liviu Adrian COTFAS & Dragos PALAGHITA & Bogdan VINTILA, 2010. "Audit Techniques for Service Oriented Architecture Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 128-136.
    2. Iuliana BOTHA & Anda Velicanu & Adela Bara, 2011. "Modeling Spatial Data within Object Relational-Databases," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 2(1), pages 33-42, March.
    3. Shaohua Wang & Xianxiong Liu & Haiyin Wang & Qingwu Hu, 2018. "A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis," Sustainability, MDPI, vol. 10(6), pages 1-24, June.

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