The user dimension is a crucial component in the information retrieval process and for this reason it must be taken into account in planning and technique implementation in information retrieval systems. In this paper we present a technique based on relevance feedback to improve the accuracy in an ontology based information retrieval system. Our proposed method combines the semantic information...

Geographic Information Retrieval (GIR) is a specialized branch of traditional Information Retrieval (IR), which deals with the information related to geographic locations. One of the main challenges of GIR is to quantify the spatial relevance of documents and generate a pertinent ranking of the results according to the spatial information needs of user. Most of the current methods judge the rel...

The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the user to select a number of sentences that represent documents. The second method consists of showing to the user a list of noun phrases extracted from the initial document set....

Relevance Feedback (RF) is a powerful technique whereby a user can instruct an Information Retrieval (IR) system to find additional relevant documents by providing relevance information on certain documents or query terms. There are several major design decisions that can affect how a RF system can help users. In this paper, I present a brief literature survey covering two emphases of RF: term ...

Information Literacy (IL) along with information and communication technology has become significant in library environment. Information literacy in library services is required not only to optimize the use of library resources in teaching, learning and research but also train the users to make them aware about information sources and access authentic information from vast array of electronic i...

In this paper we look at some of the problems in interacting with best-match retrieval systems. In particular, we examine the areas of interaction, some investigations of the complexity and breadth of interaction and attempts to categorise user's information seeking behaviour. We suggest that one of the diiculties of traditional IR systems in supporting information seeking is the way the inform...