DOI: 10.36347/sjet

Pages: 117-123

This paper presents Sniper, a knowledge-based computer field search engine in Semantic Web. Sniper takes WordNet as background ontology and integrates the entities in the semantic documents by mapping them to the synsets of WordNet. Sniper returns the most related knowledge in computer field as result according to user's query. The search results of Sniper are displayed in the form of list of entities, including concepts and instances, which are extracted from heterogeneous ontology, so the result is close to user’s intention. Comparing with the traditional search engines and the current semantic search engine, Sniper can show the relevant information that users want more accurately. The index structure of sniper is an inverted index structure of path that based on domain ontology is proposed in this paper. The all of distinct entities in domain ontology are indexed; and for each distinct entity an inverted list, storing the entity and the identifiers of the path containing the entity, and experimental results show that the index structure is more suitable for the query of multiple keywords and it can eliminate the ambiguity and achieve the semantic expansion of query keywords.