Information Extraction using Rule based software agents in Knowledge grid

Desai, Praveen and Acharya, Dinesh U and Nayak, Akshatha (2013) Information Extraction using Rule based software agents in Knowledge grid. In: Fourth International Conference on advances in Communication, Network and Computing, Feb. 22-23, 2013, Chennai.

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For the successful information processing and handling of document collections, effective information extraction methods are necessary. A distributed team work environment requires team knowledge management. A knowledge flow exists in team work processes and this knowledge flow reflects the knowledge level cooperation in team work, which in turn defines the effectiveness of team work. Distributed software development team focuses on work co-operation and resource sharing between members during software development life cycle and knowledge flow should reflect cognitive cooperation process dynamically. Hence each team member can use experience of predecessor accumulated during previous projects and avoid redundant work. With the advent of the networks, the system specification is done in one geographic area and the design in some other place. The entire software development process has distributed resources such as five generic up-level ontologies and a knowledge based [KB] issues and solutions ontology. An issue and solution pair criteria is based on organizational goals, priorities, cost and timeliness. In this paper, we present the challenges in distributed team environment and information extraction mechanisms focusing on text marker system and its applications.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Agents, Knowledge Grid, Message passing
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 13 Mar 2013 07:32
Last Modified: 13 Mar 2013 07:32

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