TY - GEN
T1 - iRank
T2 - 3rd International Conference on Geospatial Semantics, GeoS 2009
AU - Mata, Felix
PY - 2009
Y1 - 2009
N2 - Geographic Information Ranking consists of measuring if a document (answer) is relevant to a spatial query. It is done by comparing characteristics in common between document and query. The most popular approaches compare just one aspect of geographical data (geographic properties, topology, among others). It limits the assessment of document relevance. Nevertheless, it can be improved when key characteristics of geographical objects are considered in the ranking (1) geographical attributes, (2) topological relations, and (3) geographical concepts. In this paper, we outline iRank a method that integrates these three aspects to rank a document. Our approach evaluates documents from three sources of information: GeoOntologies, dictionaries, and topology files. Relevance is measured according to three stages. In the first stage, the relevance is computed by processing concepts; in second stage relevance is calculated using geographic attributes. In the last stage, the relevance is measured by computing topologic relations. Thus, the main contribution of iRank is show that integration of three ranking criteria is better than when they are used in separate way.
AB - Geographic Information Ranking consists of measuring if a document (answer) is relevant to a spatial query. It is done by comparing characteristics in common between document and query. The most popular approaches compare just one aspect of geographical data (geographic properties, topology, among others). It limits the assessment of document relevance. Nevertheless, it can be improved when key characteristics of geographical objects are considered in the ranking (1) geographical attributes, (2) topological relations, and (3) geographical concepts. In this paper, we outline iRank a method that integrates these three aspects to rank a document. Our approach evaluates documents from three sources of information: GeoOntologies, dictionaries, and topology files. Relevance is measured according to three stages. In the first stage, the relevance is computed by processing concepts; in second stage relevance is calculated using geographic attributes. In the last stage, the relevance is measured by computing topologic relations. Thus, the main contribution of iRank is show that integration of three ranking criteria is better than when they are used in separate way.
KW - Geo-Spatial relevance
KW - GeoOntology
KW - Geographic information retrieval
KW - Geographical information ranking
KW - Spatial semantics
KW - Topological and conceptual similarity
UR - http://www.scopus.com/inward/record.url?scp=78650651915&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10436-7_10
DO - 10.1007/978-3-642-10436-7_10
M3 - Contribución a la conferencia
AN - SCOPUS:78650651915
SN - 3642104355
SN - 9783642104350
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 159
EP - 174
BT - GeoSpatial Semantics - Third International Conference, GeoS 2009, Proceedings
Y2 - 3 December 2009 through 4 December 2009
ER -