caa a22 4500 445331925 CHVBK 20180317142740.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s10707-010-0118-z doi (NATIONALLICENCE)springer-10.1007/s10707-010-0118-z Ontology-driven discovery of geospatial evidence in web pages [Elektronische Daten] [Karla Borges, Clodoveu Davis Jr, Alberto Laender, Claudia Medeiros] When users need to find something on the Web that is related to a place, chances are place names will be submitted along with some other keywords to a search engine. However, automatic recognition of geographic characteristics embedded in Web documents, which would allow for a better connection between documents and places, remains a difficult task. We propose an ontology-driven approach to facilitate the process of recognizing, extracting, and geocoding partial or complete references to places embedded in text. Our approach combines an extraction ontology with urban gazetteers and geocoding techniques. This ontology, called OnLocus, is used to guide the discovery of geospatial evidence from the contents of Web pages. We show that addresses and positioning expressions, along with fragments such as postal codes or telephone area codes, provide satisfactory support for local search applications, since they are able to determine approximations to the physical location of services and activities named within Web pages. Our experiments show the feasibility of performing automated address extraction and geocoding to identify locations associated to Web pages. Combining location identifiers with basic addresses improved the precision of extractions and reduced the number of false positive results. Springer Science+Business Media, LLC, 2010 Geographic information retrieval nationallicence Extraction ontologies nationallicence Geospatial evidence in text nationallicence Positioning expressions nationallicence Geocoding nationallicence Borges Karla PRODABEL-Empresa de Informática e Informação do Município de Belo Horizonte, Av. Pres. Carlos Luz, 1275, 31230-000, Belo Horizonte, MG, Brazil aut Davis Jr Clodoveu Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627, 31270-010, Belo Horizonte, MG, Brazil aut Laender Alberto Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627, 31270-010, Belo Horizonte, MG, Brazil aut Medeiros Claudia Instituto de Informática, Universidade de Campinas, Av. Albert Einstein,1251, 13083-970, Campinas, SP, Brazil aut GeoInformatica Springer US; http://www.springer-ny.com 15/4(2011-10-01), 609-631 1384-6175 15:4<609 2011 15 10707 https://doi.org/10.1007/s10707-010-0118-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10707-010-0118-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Borges Karla PRODABEL-Empresa de Informática e Informação do Município de Belo Horizonte, Av. Pres. Carlos Luz, 1275, 31230-000, Belo Horizonte, MG, Brazil aut NATIONALLICENCE 700 1- Davis Jr Clodoveu Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627, 31270-010, Belo Horizonte, MG, Brazil aut NATIONALLICENCE 700 1- Laender Alberto Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627, 31270-010, Belo Horizonte, MG, Brazil aut NATIONALLICENCE 700 1- Medeiros Claudia Instituto de Informática, Universidade de Campinas, Av. Albert Einstein,1251, 13083-970, Campinas, SP, Brazil aut NATIONALLICENCE 773 0- GeoInformatica Springer US; http://www.springer-ny.com 15/4(2011-10-01), 609-631 1384-6175 15:4<609 2011 15 10707 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer