In this paper, we present a semantic search technique considering the type of desired Web resources and the semantic relationships between the resources and the query keywords in ...
Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, t...
Today the major web search engines answer queries by showing ten result snippets, which need to be inspected by users for identifying relevant results. In this paper we investigat...
We describe an in-depth study of using a dictionary (WordNet) and web search engines (Altavista, MSN, and Google) to boost the performance of an automated question answering syste...
Ever since the boom of World Wide Web, profiling online users' interests has become an important task for content providers. The traditional approach involves manual entry of...