Disambiguating Geographic Names in a Historical Digital Library
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
GeoVSM: An Integrated Retrieval Model for Geographic Information
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Named entity recognition using an HMM-based chunk tagger
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
Language independent NER using a unified model of internal and contextual evidence
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
A confidence-based framework for disambiguating geographic terms
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals
Journal of Information Science
Generalized conjunction/disjunction
International Journal of Approximate Reasoning
An introduction to bipolar representations of information and preference
International Journal of Intelligent Systems
International Journal of Geographical Information Science
Bipolar Queries Using Various Interpretations of Logical Connectives
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Geographical information retrieval
International Journal of Geographical Information Science
Proceedings of the 2009 ACM symposium on Applied Computing
Managing uncertainty in location-based queries
Fuzzy Sets and Systems
Geographic information retrieval by topological, geographical, and conceptual matching
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
GeoCLEF 2008: the CLEF 2008 cross-language geographic information retrieval track overview
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
GeoCLEF: the CLEF 2005 cross-language geographic information retrieval track overview
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Information Sciences: an International Journal
Hi-index | 0.20 |
Geographic information retrieval (GIR) is nowadays a hot research issue that involves the management of uncertainty and imprecision and the modeling of user preferences and context. Indexing the geographic content of documents implies dealing with the ambiguity, synonymy and homonymy of geographic names in texts. On the other side, the evaluation of queries specifying both content based conditions and spatial conditions on documents' contents requires representing the vagueness and context dependency of spatial conditions and the personal user's preferences. The spatial condition can be specified linguistically in the query through vague terms such as ''close to the North East of Milan'', whose semantic depends on the user's context and perception of distance. Further, users may want to express queries in which the content condition and the spatial condition have a distinct preference and are combined with a distinct semantics. In this paper, we propose a geographic information retrieval model and a system implementing it that represents both the uncertainty in indexing the geographic documents' content and the user's context and preferences in evaluating flexible spatial queries. It extracts the geographic content from documents' text by applying heuristic knowledge coded by bipolar rules which evaluate positive hints and negative hints for the recognition of geographic names in text. Thus, it represents the geographic content of documents by fuzzy footprints, i.e., distinct locations on the earth associated with the text with a distinct degree of significance. Finally, the system allows evaluating two types of queries flexibly combining the content based condition with the spatial condition. The spatial condition is interpreted as the soft constraint ''close'' on the user's perceived distance between the documents' footprint and query's footprint. For each retrieved document, two relevance scores are computed with respect to the two query conditions that are flexibly combined to generate an overall ranked list of documents. The user can choose the semantic for the combination that can be either an asymmetric ''and possibly'' aggregation between the mandatory content condition and the optional spatial condition, or a compensative ''average'' aggregation, defined as a linear combination of the two conditions; further, a relative preference between the conditions can be specified to achieve personalization and effectiveness. A prototypal geographic information retrieval system, named Geo-Finder, based on this model is described, and its evaluations are discussed.