Focused Search on the Web using WeQueL

Keyword-based web query languages suffer from a lack of precision when searching for a precise kind of documents. Indeed, some documents cannot be simply characterized by a list of keywords. For example, searching for on-line pictures dealing with formula one using only simple keywords with general-purpose search-engines gives imprecise answers. This imprecision is due to the method that considers that a relevant document to a query is one that contains a lot of query keywords occurrences. This method is totally unefficient for poor textual-content documents like pictures, video streams . On the other hand, keyword based languages are often not powerful enough for expressing sophisticated document search like on-line java or c++ tutorials. We propose ” WeQueL ” a multi-criteria query langage for a better characterization of documents. The aim is to increase the precision of document retrieval on the web. In our experiments, we show the gain in accuracy for web document searching ...

• Type: Conference
• Year: 2003
• Where: KRDB
• Authors: Amar-Djalil Mezaour
• Keywords: Database, Document, Keyword-based Web Query, KRDB 2003, Query Keywords