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dc.contributor.author Jayathilake, DSP
dc.contributor.author Herath, HMST
dc.contributor.author Wimalasooriya, RDDP
dc.contributor.author Karunarathne, SDJ
dc.contributor.author Weerawardhane, S
dc.contributor.editor Rodrigo, R
dc.date.accessioned 2022-12-22T07:59:36Z
dc.date.available 2022-12-22T07:59:36Z
dc.date.issued 2013-02
dc.identifier.citation ***** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19874
dc.description.abstract such as Geographic Information Systems (CIS), because accurate information of geographic data a spat,ally distributed and vast in volume. The challenge is to improve the process of information retrieval, which can be applied to varying contexts such as GIS, going beyond the limits imposed by the knowledge base centric approaches. Social networks possess a vast amount of unstructured knowledge in its user base, which can be use in a awing interesting patterns, if analyzed in a systematic approach. In this paper, we emphasize on an approach for information search and retrieval, bv combining the social network of human intelligence and knowledge bases of information. Users of the system can present natural language queries, and questions be directed to relevant experts within the social network. Distributed information retrieval and information fusion is applied to optimize the process oj single answer generation. The feasibility of our proposed architecture is investigated by implementing a QA(Question Answering) system on a social network as a proof of concept. The Question Answering System is based on geogi aphic queries which will be directed to relevant users within the network to gather answers. Varying methods of information fusion and Natural Language Processing have been researched and discussed to discover the suitable approaches for generation. With the wide acceptance of the social networking paradigm and sharing of information, this approach be extended to other domains as well. en_US
dc.language.iso en en_US
dc.publisher The Engineering Research Unit, University of Moratuwa en_US
dc.title Distributed intelligence as anlnformation retrievalsystem en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, University of Moratuwa en_US
dc.identifier.year 2013 en_US
dc.identifier.conference National Engineering Conference Engineering Research For Nation Building en_US
dc.identifier.place Katubedda en_US
dc.identifier.pgnos pp. 12-19 en_US
dc.identifier.proceeding Proceedings of the 18th Annual Research Symposium en_US


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