This paper describes our participation in the GeoCLEF monolingual English task of the Cross Language Evaluation Forum 2006. Our retrieval system consists of four modules: the geographic knowledge base; the indexing module; the document retrieval module and the ranking module. The geographic knowledge base provides information about important geographic entities around the world and relationship...

This paper proposes a Retrieval Outcome Analysis Framework, or ROA Framework, to systematically evaluate retrieval performance of Cross-Language Information Retrieval systems. The ROA framework goes beyond TREC-type retrieval evaluation methodology by including procedures focusing on individual queries, especially difficult queries. The framework is comprised of four interrelated components: (1...

Multi-Lingual Information Retrieval (MLIR) can be defined as the functionality which allows one to find information that is expressed in any language. Selecting useful documents from collections that may contain several languages is a challenging issue. Multilingual retrieval is the general expression used to refer to the development, research and applications concerning the abovementioned func...

persian natural language processing (nlp) researchers have many limitations to access linguistic tools which are suitable for text processing. therefore, researchin persian text processing is very limited. since dataset is an important requirement for experiments and their evaluation, we aimed to create appropriate corpora for information retrieval and natural language processing in persian. th...

Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrat...

Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrat...

Many theoretical PIR (Private Information Retrieval) constructions have been proposed in the past years. Though information theoretically secure, most of them are impractical to deploy due to the prohibitively high communication and computation complexity. The recent trend in outsourcing databases fuels the research on practical PIR schemes. In this paper, we propose a new PIR system by making ...

This paper presents work in progress toward the development of the information retrieval (IR) evaluation measure – Information Problem Shiftwithin a theoretical framework and model for conceptualizing and researching information retrieval (IR) within an information seeking context. The theoretical model consists of a set of situated actions by information-seekers within interactive search sessi...