2009Unpublished venueRequires access

A collaborative knowledge construction system design for massive knowledge resources

Qinghua Zheng, Zhaohui Wu, Lu Jiang, Jun Liu

Open publisher page 4 citations

Abstract

Aiming at deficiencies of existing knowledge resources management systems, we designed a new collaborative knowledge construction system for massive knowledge resources. By collaborative knowledge building in the following three phases: acquisition of knowledge factors, generation of the local extended topic maps and integration of global extended topic map, we realized a conjunction of concept level and knowledge element level in different knowledge granularity, as well as an integration of topic map in distributed nodes. Through those methods we achieved to establish the global extended topic map of a specific domain from knowledge resources.

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What this paper is about

Aiming at deficiencies of existing knowledge resources management systems, we designed a new collaborative knowledge construction system for massive knowledge resources. By collaborative knowledge building in the following three phases: acquisition of knowledge factors, generation of the local extended topic maps and integration of global extended topic map, we realized a conjunction of concept level and knowledge element level in different knowledge granularity, as well as an integration of topic map in distributed nodes. Through those methods we achieved to establish the global extended topic map of a specific domain from knowledge resources.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Aiming at deficiencies of existing knowledge resources management systems, we designed a new collaborative knowledge construction system for massive knowledge resources. By collaborative knowledge building in the following three phases: acquisition of knowledge factors, generation of the local extended topic maps and integration of global extended topic map, we realized a conjunction of concept level and knowledge element level in different knowledge granularity, as well as an integration of topic map in distributed nodes. Through those methods we achieved to establish the global extended topic map of a specific domain from knowledge resources.

Key concepts: Computer science, Knowledge integration, Knowledge management, Domain knowledge, Knowledge engineering, Knowledge-based systems, Open Knowledge Base Connectivity, Granularity

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