Midlands State University Library

An evaluation of ontology matching techniques on geospatial ontologies (Record no. 160704)

MARC details
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fixed length control field 02656nam a22002417a 4500
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control field ZW-GwMSU
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control field 20221201160512.0
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fixed length control field 221201b |||||||| |||| 00| 0 eng d
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Original cataloging agency MSU
Transcribing agency MSU
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Personal name Delgado, Francisco
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Title An evaluation of ontology matching techniques on geospatial ontologies
Statement of responsibility, etc. created by Francisco Delgado,M. Mercedes Martínez-González &Javier Finat
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Valladolid:
Name of producer, publisher, distributor, manufacturer Taylor & Francis,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
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Content type term text
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Media type term unmediated
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Summary, etc. Standardization is one of the pillars of interoperability. In this context, efforts promoted by the Open Geospatial Consortium, such as CityGML (Technical University, Berlin), a standard for exchanging three-dimensional models or urban city objects, are welcomed. However, information from other domains of interest (e.g. energy efficiency or building information modeling) is needed for tasks such as land planning, large-scale flooding analysis, or demand/supply energy simulations. CityGML allows extension in order to integrate information from other domains, but the development process is expensive because there is no way to perform it automatically. The discovery of correspondences between CityGML concepts and other domains concepts poses a significant challenge.<br/><br/>Ontology matching is the research field emerged from the Semantic Web to address automatic ontology integration. Using the ontology underlying CityGML and the ontologies which model other domains of interest, ontology matching would be able to find the correspondences that would permit the integration in a more automatic manner than it is done now.<br/><br/>In this paper, we evaluate if ontology matching techniques allow performing an automatic integration of geospatial information modeled from different viewpoints. In order to achieve this, an evaluation methodology was designed, and it was applied to the discovery of relationships between CityGML and ontologies coming from the building information modeling and Geospatial Semantic Web domains. The methodology and the results of the evaluation are presented. The best results have been achieved using string-based techniques, while matching systems give the worst precision and recall. Only in a few cases the values are over 50%, which shows the limitations when these techniques are applied to ontologies with a partial overlap.<br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element 3D GIS
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CityGML
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element building information
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Uniform Resource Identifier https://doi.org/10.1080/13658816.2013.812215
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Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 14/01/2014 Vol 27. No.11-12 pages 2279-2301   G70.2 INT 01/12/2022 SP17880 01/12/2022 Journal Article For Inhouse use only