In this paper we deal with two issues. First, we discuss the negative effects of term correlation in query expansion algorithms, and we propose a novel and simple method (query clauses) to represent expanded queries which may alleviate some of these negative effects. Second, we discuss a method to optimise local query expansion methods using genetic algorithms, and we apply this method to impro...

We presented initial work on the task of automatic highlighting of bioscience literature. We discuss a small set of highlighted documents and queries, both of which were acquired from biology researchers. An automated system is presented along with a performance evaluation on the data set. A novel webdefinition-based query expansion method is introduced and it produces an encouraging performanc...

In this paper, we present a survey of important work done on automatic query expansion. Automatic query expansion is the process of automatically supplementing additional terms or phrases to the original query and is considered an extremely promising technique to improve the retrieval effectiveness. In this survey, we discussed a large number of recent approaches to automatic query expansion th...

Query expansion adds related words to a user query in order to improve retrieval results. It’s an important step in information retrieval. Most of current query expansion methods pay attention to specific expansion strategies or algorithms, while neglecting the query itself. In reaction to the phenomenon, a multistrategy query expansion method based on semantics was proposed. This method starte...

In this document, we describe our algorithms for automatic query expansion. The proposed algorithms are implemented in Java where the Lucene library 1 is modified and used by the proposed algorithms for document retrieval. In order to support accurate document retrieval, we have implemented the okapi(BM25) formulation 2 for measuring the document-query similarity measure. Three query expansion ...

This paper examines the meaning of context in relation to ontology based query expansion and contains a review of query expansion approaches. The various query expansion approaches include relevance feedback, corpus dependent knowledge models and corpus independent knowledge models. Case studies detailing query expansion using domain-specific and domain-independent ontologies are also included....

Query expansion has been extensively studied as a technique for increasing information retrieval performance. However, due to the volume of documents available on the web, many of the techniques that have been successful in traditional information retrieval systems do not scale well to web information retrieval. We propose a new technique based on conceptual semantic theories, in contrast to th...

Without detailed knowledge of a collection, most users find it difficult to formulate effective queries. In fact, as observed from Web search engines, users may spend large amounts of time reformulating their queries in order to satisfy their information need. A proven successful method to overcome this difficulty is to treat the query as an initial attempt to retrieve information and use it to...