Search

In order to acquire satisfying knowledge quickly in current Web and semantic Web, it is very important to find an effective method to present Web resource. We proposed a concept of Ontological Knowledge Node (OKN) as the core of semantic search model and give a design schema to organize knowledge representation from domain perspective. OKN is a kind of Web resource representation method, which consists of a 6-tuple set and can represent the intension and extension of ontologies as well as the relationship between ontologies. This method was explained in detail from the perspective of granular computing. In order to show advantages of the OKN, a Semantic Search Engine was established, which combines the OKN with Nutch to search campus resources. OKN was proved to work well on semantic search.

The efficiency of obtaining accurate knowledge in the WWW is becoming more important than ever. It is therefore a critical issue for the Web to precisely understand the semantic meaning of the words or phrases chosen by users as well as to accurately locate the user's requirements. This article focuses on two approaches, CCAA and LCAA, which can help the user acquire knowledge in ontological knowledge community of Semantic Web. It describes concepts and definitions about context-awareness as well as content-awareness, and then brings forward an awareness model in ontological knowledge routing. A proper instance running in this tentative model is also provided in this article.