WebODE: a scalable workbench for ontological engineering
Proceedings of the 1st international conference on Knowledge capture
Open Source Development with Cvs
Open Source Development with Cvs
The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
KAON - Towards a Large Scale Semantic Web
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
OntoEdit: Collaborative Ontology Development for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
OilEd: A Reason-able Ontology Editor for the Semantic Web
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
Modeling individual cognitive structure in contextual information retrieval
Computers & Mathematics with Applications
Usability of upper level ontologies: The case of ResearchCyc
Data & Knowledge Engineering
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Cooperative ontology development environment CODE and a demo semantic web on economics
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
A semi-automatic ontology acquisition method for the semantic web
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Experiences using the researchcyc upper level ontology
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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Ontologies are often seen as basic building blocks for the semantic web, as they provide a shared and reusable piece of knowledge about a specific domain. With the rapid development of semantic web, the scale and complexity of ontologies grow fast. The construction of large-scale ontologies will involve collaborative efforts of multiple developers. However, collaborative construction of ontologies is a complicated task. This paper discusses the challenging issues in collaborative ontology development, gives an overview of the related technologies and proposes a practical role-based collaborative development method, named RCDM. According to it, a pyramidal taxonomy of roles is adopted to divide ontology developers into different roles. Developers serving as different roles work collaboratively to construct a large-scale ontology, and a weighted statistical algorithm is adopted to solve conflicts led by different opinions. Compared with existing methods, RCDM is more suitable to large-scale ontology development, and does well in developers management, concurrency control, and conflicts resolution. It integrates wisdoms of different kinds of developers, no matter whether they are domain experts or not.