The rapid development of mobile technologies has facilitated users to generate and store files on mobile devices. However, it has become a challenging issue for users to search efficiently and effectively for files of interest in a mobile environment that involves a large number of mobile nodes. In this thesis, file management and retrieval alternatives have been investigated to propose a feasi...

The proliferation of government information on local area networks and the Internet creates the problem of finding information that may be distributed among many disjoint text databases (distributed information retrieval or federated search). A distributed information retrieval system is composed of three components: Resource representation, resource selection and result merging. Previous resea...

In this paper we present an evaluation resource for geographic information retrieval developed within the Cross Language Evaluation Forum (CLEF). The GeoCLEF track is dedicated to the evaluation of geographic information retrieval systems. The resource encompasses more than 600,000 documents, 75 topics so far, and more than 100,000 relevance judgments for these topics. Geographic information re...

Photos annotated with textual keywords can be thought of as resembling documents, and querying for photos by keywords is akin to the information retrieval done by search engines. A common approach to making IR more robust involves query expansion using a thesaurus or other lexical resource. The chief limitation is that keyword expansions tend to operate on a word level, and expanded keywords ar...

Information retrieval is becoming increasingly concerned with resource selection and data fusion for distributed archives. In distributed information retrieval, a user submits a query to a broker, which determines a solution for how to yield a given number of documents from all available resources. In this paper, we present a multi-objective model for resource selection, in which four aspects: ...

In a federated digital library system, it is too expensive to query every accessible library. Resource selection is the task to decide to which libraries a query should be routed. In this paper, we describe a novel technique that is used in the MIND project. Our approach, decision-theoretic framework (DTF), differs from existing algorithms like CORI in two ways: It computes a selection which mi...

Due to the ever growing amount of content in the Web of Data, the retrieval of relevant information is challenging. Currently, efficient resource recommendation methods are lacking, that could ease the exploration of data in the Web of Data. To alleviate this situation, this paper proposes the R3 resource recommendation framework for retrieval of data in the Linked Open Data (LOD) cloud. It ana...

This paper describes our different retrieval approaches conducted on a cultural heritage (CH) content testcollection. In our study, our main objective is to measure the relative merit of various query expansion and semantic enrichment techniques. To do so we considered different strategies based on blind-query expansion as well as using external resource, namely Wikipedia. In using external kno...