The Experts below are selected from a list of 215544 Experts worldwide ranked by ideXlab platform
Julio Amador - One of the best experts on this subject based on the ideXlab platform.
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Geographical Information systems applied in the field of renewable energy sources
Computers & Industrial Engineering, 2007Co-Authors: Javier Salido Dominguez, Julio AmadorAbstract:This article presents a synthetic vision of Geographical Information systems (GIS) applications that are state of the art in the renewable energy field. The objective is to analyze the main qualities and problems of these applications, focusing on specific samples, and to carry out a methodological proposal in this genre. From this point of view, the study synthesizes the analyzed applications in three big groups: Decisions Support Systems (DSS) based on GIS; renewable energy and distributed generation of electricity; and decentralized generation for the rural electrification. In addition, a synthetic table and bibliographical references is provided for each group. Finally, several conclusions and a methodological outline are contributed for GIS application in the rural electrification with renewable energy.
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application of Geographical Information systems to rural electrification with renewable energy sources
Renewable Energy, 2005Co-Authors: Julio Amador, Javier DominguezAbstract:This paper approaches one of the main problems of rural electrification: the choice of the most appropriate technology for each case. The main objective of this project is to apply Geographical Information Systems (GIS) to divide the research zone into areas in that are more appropriate for either conventional or renewable technologies. The approaches for choosing among the different technologies are usually technical and economic; these may be jointly considered by the leveling electric cost (LEC). Determination of the LEC is a complex task that requires knowledge of the capacity factor. This paper shows the conclusions of the technical and economic parameter analysis involved in the determination of the LEC for each technology. This analysis has allowed us to carry out proposals of improvement in the methodology of the GIS of rural electrification. The resulting GIS has been verified in the municipality of Lorca (Murcia, Spain).
Clive E. Sabel - One of the best experts on this subject based on the ideXlab platform.
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Open-Source web-based Geographical Information system for health exposure assessment
International Journal of Health Geographics, 2012Co-Authors: Barry Evans, Clive E. SabelAbstract:This paper presents the design and development of an open source web-based Geographical Information System allowing users to visualise, customise and interact with spatial data within their web browser. The developed application shows that by using solely Open Source software it was possible to develop a customisable web based GIS application that provides functions necessary to convey health and environmental data to experts and non-experts alike without the requirement of proprietary software.
Davide Buscaldi - One of the best experts on this subject based on the ideXlab platform.
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explicit query diversification for Geographical Information retrieval
European Conference on Information Retrieval, 2011Co-Authors: Davide Buscaldi, Paolo RossoAbstract:In this paper we make a rst attempt to evaluate the po- tential of diversity in the Geographical Information Retrieval task. This task represent an opportunity to take advantage of diversity, given that documents are not relevant only from a thematic point of view, but also spatially. A user of a GIR system may be interested in results that are ge- ographically distributed and equally relevant. We attempted to diversify results explicitly, reformulating queries with meronyms of the places con- tained in the original queries, with the help of a Geographical ontology. The obtained results show that a theoretical improvement is possible, but this approach may be eective only in the case that the relevant documents do not contain enough Geographical data.
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toponym ambiguity in Geographical Information retrieval
International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009Co-Authors: Davide BuscaldiAbstract:The objectives of this research work is to study the effects of toponym (place name) ambiguity in the Geographical Information Retrieval (GIR) task. Our experience with GIR systems shows that toponym ambiguity may be an important factor in the inability of these systems to take advantage from Geographical knowledge. Previous studies over ambiguity and Information Retrieval (IR) suggested that disambiguation may be useful in some specific IR scenario. We suppose that GIR may constitute such a scenario. This preliminary study was carried out over the WordNet based, manually disambiguated collection developed for the CLIR-WSD task, using the GeoCLEF collection of 100 Geographically related topics. The employed GIR system was based on the GeoWorSE system that participated in GeoCLEF 2008. The experiments were carried out considering the manual disambiguation and comparing this result with those obtained by randomly disambiguating the document collection and those obtained by using always the most common referent. The obtained results show no significant difference in the overall results, although the work gave an insight into some errors that are produced by toponym ambiguity and how they may affect the results. These preliminary results also suggest that WordNet is not a suitable resource for the planned research.
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geooreka enhancing web searches with Geographical Information
SEBD, 2009Co-Authors: Davide Buscaldi, Paolo RossoAbstract:Geographical Information is achieving an increasing importance in the World Wide Web. Recently, the web saw a growth in the use of map-based services; however, these services are usually used as visual yellow pages rather than search engines. The action of finding a web page relevant to a specific topic and a specific area is still mostly dependent on classical keyword based methods. In this paper we present Geooreka, a web search engine integrated with a GIS database, which allows to search web documents that refers to an area visually configured by a user by means of a map. Our preliminary results, show that our search engine could actually improve the quality of Geographically related web searches.
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using geowordnet for Geographical Information retrieval
Cross-Language Evaluation Forum, 2008Co-Authors: Davide Buscaldi, Paolo RossoAbstract:We present a method that uses GeoWordNet for Geographical Information Retrieval. During the indexing phase, all places are disambiguated and assigned their coordinates on the world map. Documents are first searched for by means of a term-based search method, and then re-ranked according to the Geographical Information. The results show that map-based re-ranking allows to improve the results obtained by the base system, which relies only on textual Information.
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a wordnet based indexing technique for Geographical Information retrieval
Cross-Language Evaluation Forum, 2006Co-Authors: Davide Buscaldi, Paolo Rosso, Emilio SanchisAbstract:This paper presents an indexing technique based on Word-Net synonyms and holonyms. This technique has been developed for the Geographical Information Retrieval task. It may help in finding implicit geographic Information contained in texts, particularly if the indication of the containing Geographical entity is omitted. Our experiments were carried out with the Lucene search engine over the GeoCLEF 2006 set of topics. Results show that expansion can improve recall in some cases, although a specific ranking function is needed in order to obtain better results in terms of precision.
Fe Espino - One of the best experts on this subject based on the ideXlab platform.
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Geographical Information systems for dengue surveillance
American Journal of Tropical Medicine and Hygiene, 2012Co-Authors: Jennifer Duncombe, Archie C A Clements, Philip Weinstein, Scott A Ritchie, Fe EspinoAbstract:This review provides details on the role of Geographical Information Systems (GIS) in current dengue surveillance systems and focuses on the application of open access GIS technology to emphasize its importance in developing countries, where the dengue burden is greatest. It also advocates for increased international collaboration in transboundary disease surveillance to confront the emerging global challenge of dengue.
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Geographical Information systems for dengue surveillance
Faculty of Health; Institute of Health and Biomedical Innovation, 2012Co-Authors: Jennifer Duncombe, Archie C A Clements, Philip Weinstein, Scott A Ritchie, Fe EspinoAbstract:Article is also free to read on publisher website This review provides details on the role of Geographical Information Systems (GIS) in current dengue surveillance systems and focuses on the application of open access GIS technology to emphasize its importance in developing countries, where the dengue burden is greatest. It also advocates for increased international collaboration in transboundary disease surveillance to confront the emerging global challenge of dengue.
Paolo Rosso - One of the best experts on this subject based on the ideXlab platform.
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explicit query diversification for Geographical Information retrieval
European Conference on Information Retrieval, 2011Co-Authors: Davide Buscaldi, Paolo RossoAbstract:In this paper we make a rst attempt to evaluate the po- tential of diversity in the Geographical Information Retrieval task. This task represent an opportunity to take advantage of diversity, given that documents are not relevant only from a thematic point of view, but also spatially. A user of a GIR system may be interested in results that are ge- ographically distributed and equally relevant. We attempted to diversify results explicitly, reformulating queries with meronyms of the places con- tained in the original queries, with the help of a Geographical ontology. The obtained results show that a theoretical improvement is possible, but this approach may be eective only in the case that the relevant documents do not contain enough Geographical data.
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geooreka enhancing web searches with Geographical Information
SEBD, 2009Co-Authors: Davide Buscaldi, Paolo RossoAbstract:Geographical Information is achieving an increasing importance in the World Wide Web. Recently, the web saw a growth in the use of map-based services; however, these services are usually used as visual yellow pages rather than search engines. The action of finding a web page relevant to a specific topic and a specific area is still mostly dependent on classical keyword based methods. In this paper we present Geooreka, a web search engine integrated with a GIS database, which allows to search web documents that refers to an area visually configured by a user by means of a map. Our preliminary results, show that our search engine could actually improve the quality of Geographically related web searches.
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using geowordnet for Geographical Information retrieval
Cross-Language Evaluation Forum, 2008Co-Authors: Davide Buscaldi, Paolo RossoAbstract:We present a method that uses GeoWordNet for Geographical Information Retrieval. During the indexing phase, all places are disambiguated and assigned their coordinates on the world map. Documents are first searched for by means of a term-based search method, and then re-ranked according to the Geographical Information. The results show that map-based re-ranking allows to improve the results obtained by the base system, which relies only on textual Information.
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a wordnet based indexing technique for Geographical Information retrieval
Cross-Language Evaluation Forum, 2006Co-Authors: Davide Buscaldi, Paolo Rosso, Emilio SanchisAbstract:This paper presents an indexing technique based on Word-Net synonyms and holonyms. This technique has been developed for the Geographical Information Retrieval task. It may help in finding implicit geographic Information contained in texts, particularly if the indication of the containing Geographical entity is omitted. Our experiments were carried out with the Lucene search engine over the GeoCLEF 2006 set of topics. Results show that expansion can improve recall in some cases, although a specific ranking function is needed in order to obtain better results in terms of precision.
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inferring Geographical ontologies from multiple resources for Geographical Information retrieval
Geographic Information Retrieval, 2006Co-Authors: Paolo Rosso, Piedachu PerisAbstract:Most of the Information available in electronic format, such as in the World Wide Web or in digital libraries, involves some kind of spatial awareness. For instance, news usually describe an event and the place where this event occurred: “Earthquake in Turkey”, “Visit of the Pope in Valencia”. Currently, the Information Retrieval (IR) research community is increasing its eorts dedicated to the retrieval of Geographical Information, as testified by the creation of the GeoCLEF 1 [5] evaluation exercise at the CLEF 2005, recently repeated in 2006, and the advances of the SPIRIT 2 project [6]. These eorts are aimed to the solution of typical issues of the Geographical IR task. In many cases, explicit Geographical Information is missing from the documents, for instance the indication of a broader Geographical entity is omitted when it is supposed to be well-known to the readers (e.g. usually France is not named in a news related to Paris). Another common problem is the synonymy, when there are many ways to indicate a Geographical entity. This is particularly true for foreign names, where spelling variations are frequent. The solution to these problems has been generally individuated in the use of Geographical-oriented ontologies [4, 6]. The manual construction of this kind of resources is usually a long, laborious process, and in many cases they are not freely available, such as the Getty Thesaurus of Geographical Names 3 (TGN). In order to overcome this issue, we made some attempts [2, 3] to use the Geographical Information included in WordNet, the wellknown general domain ontology developed at the University of Princeton [7]. Unfortunately, the quantity of Geographical Information included in WordNet is quite small. Although it is quite dicult to calculate the number of geographi
