Publishing deep web geographic data

作者: Helena Piccinini , Marco A. Casanova , Luiz André P. P. Leme , Antonio L. Furtado

DOI: 10.1007/S10707-013-0201-3

关键词: World Wide WebStatic web pageRaster dataRDFRDF SchemaLinked dataWeb pageSemantic WebComputer scienceSPARQL

摘要: This article introduces a design process, called W-RayS, to describe Deep Web geographic data and publish the descriptions both on of Data Surface Web. The also outlines toolkit that supports process discusses an experiment in which was used stored large map server. Briefly, vector format, designer should first specify views over underlying database capture basic characteristics objects their topological relationships represented data. same idea is applied raster data, but using gazetteer or any other covers area as Then, view definitions RDF schema, following Linked principles. are therefore formalized sets triples synthesized from conventional To Data, may decide materialize store them repository create SPARQL endpoint access demand. Web, W-RayS offers tools transform natural language sentences, organized static pages with embedded RDFa. inclusion RDFa preserves structure allows more specific queries, processed by engines analyze

参考文章(31)
Zhiping Zheng, AnswerBus question answering system international conference on human language technology research. pp. 399- 404 ,(2002)
Nadine Cullot, Kokou Yétongnon, Raji Ghawi, DB2OWL : A Tool for Automatic Database-to-Ontology Mapping. SEBD. pp. 491- 494 ,(2007)
Jamie Callan, Distributed Information Retrieval The Information Retrieval Series. ,vol. 5, pp. 127- 150 ,(2002) , 10.1007/0-306-47019-5_5
Farid Cerbah, Learning Highly Structured Semantic Repositories from Relational Databases: Lecture Notes in Computer Science. pp. 777- 781 ,(2008) , 10.1007/978-3-540-68234-9_57
Lyublena Antova, Loredana Afanasiev, Alon Y. Halevy, Jayant Madhavan, Harnessing the Deep Web: present and future conference on innovative data systems research. ,(2009)
Bruno Martins, Mário J. Silva, Marcirio Chaves, O sistema CaGE no HAREM – reconhecimento de entidades geográficas em textos em língua portuguesa Reconhecimento de entidades mencionadas em português:#N#Documentação e actas do HAREM, a primeira avaliação conjunta na área. ,(2007)
Thomas Kabisch, Eduard C. Dragut, Clement Yu, Ulf Leser, Deep web integration with VisQI Proceedings of the VLDB Endowment. ,vol. 3, pp. 1613- 1616 ,(2010) , 10.14778/1920841.1921053
Bin He, Zhen Zhang, Kevin Chen-Chuan Chang, MetaQuerier Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05. pp. 927- 929 ,(2005) , 10.1145/1066157.1066291
Helena Piccinini, Melissa Lemos, Marco A. Casanova, Antonio L. Furtado, W-Ray: a strategy to publish deep web geographic data international conference on conceptual modeling. pp. 2- 11 ,(2010) , 10.1007/978-3-642-16385-2_2
Günther Fliedl, Christian Kop, Jürgen Vöhringer, Guideline based evaluation and verbalization of OWL class and property labels data and knowledge engineering. ,vol. 69, pp. 331- 342 ,(2010) , 10.1016/J.DATAK.2009.08.004