TY - GEN
T1 - Matching formal and informal Geospatial Ontologies
AU - Du, Heshan
AU - Alechina, Natasha
AU - Jackson, Mike
AU - Hart, Glen
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2013.
PY - 2013
Y1 - 2013
N2 - The rapid development of crowd-sourcing or volunteered geographic information both challenges and provides opportunities to authoritative geospatial information. Matching geospatial ontologies is an essential element to realizing the synergistic use of disparate geospatial information. We propose a new semiautomatic method to match formal and informal real life geospatial ontologies, at both terminology level and instance level, ensuring that overall information is logically coherent and consistent. Disparate geospatial ontologies are matched by finding a consistent and coherent set of mapping axioms with respect to them. Disjointness axioms are generated in order to facilitate detection of errors. In contrast to other existing methods, disjointness axioms are seen as assumptions, which can be retracted during the overall process. We produce candidates for retraction automatically, but the ultimate decision is taken by domain experts. Geometry matching, lexical matching and cardinality checking are combined when matching geospatial individuals (spatial features).
AB - The rapid development of crowd-sourcing or volunteered geographic information both challenges and provides opportunities to authoritative geospatial information. Matching geospatial ontologies is an essential element to realizing the synergistic use of disparate geospatial information. We propose a new semiautomatic method to match formal and informal real life geospatial ontologies, at both terminology level and instance level, ensuring that overall information is logically coherent and consistent. Disparate geospatial ontologies are matched by finding a consistent and coherent set of mapping axioms with respect to them. Disjointness axioms are generated in order to facilitate detection of errors. In contrast to other existing methods, disjointness axioms are seen as assumptions, which can be retracted during the overall process. We produce candidates for retraction automatically, but the ultimate decision is taken by domain experts. Geometry matching, lexical matching and cardinality checking are combined when matching geospatial individuals (spatial features).
UR - http://www.scopus.com/inward/record.url?scp=84908664476&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-00615-4_9
DO - 10.1007/978-3-319-00615-4_9
M3 - Conference contribution
AN - SCOPUS:84908664476
T3 - Lecture Notes in Geoinformation and Cartography
SP - 155
EP - 171
BT - Geographic Information Science at the Heart of Europe
A2 - Bucher, Benedicte
A2 - Vandenbroucke, Danny
A2 - Crompvoets, Joep
PB - Kluwer Academic Publishers
T2 - 16th AGILE Conference on Geographic Information Science
Y2 - 14 May 2013 through 17 May 2013
ER -