We describe the development of a semantic-based knowledge management platform for web-enabled environments featuring intelligence and insight capabilities. The main objective of the platform is to semantically search, analyze and present information retrieved from the web (or any other type of document) as well as allows domain ontology to evolve periodically. This is achieved through the use of Multi-Agent Systems and ontologies, one for building distributed systems and the other for knowledge representation. The most important feature of the SKMP lie in that the information retrieved from the web is the source of ontology evolving, while the periodical ontology evolving that will enrich domain ontologies by adding more semantics in return significantly improves efficiency of the semantic retrieval, i.e., the two are mutually reinforcing relationship. We test and verify the feature through three domain ontology from different domains
Liu, Yi; Yang, Deli; and Wang, Yu, "A Semantic-Based Knowledge Management Platform" (2014). PACIS 2014 Proceedings. 163.