%0 Journal Article %1 KKT04 %A Marinos, Kavourasand %A Margarita, Koklaand %A Eleni, Tomaiand %B Geospatial Research in Europe: AGILE 2003 %D 2005 %J Computers & Geosciences %K geographic ontology relations semantic similarity %N 2 %P 145--154 %R 10.1016/j.cageo.2004.07.010 %T Comparing categories among geographic ontologies %U http://www.sciencedirect.com/science/article/B6V7D-4F02KWP-4/2/80702bd02cbb0e91eacb1642d10863e7 %V 31 %X Numerous attempts have been made to generate semantic "mappings" between different ontologiesand or create aligned/integrated ones. An essential step towards their success is the ability to compare the categories involved. This paper introduces a systematic methodology for comparing categories met in geographic ontologies. The methodology explores/extracts semantic information provided by categories' definitions. The first step towards this goal is the recognition of syntactic and lexical patterns in definitionsand which help to identify (a) semantic properties such as purposeand locationand coverand and (b) semantic relations such as hypernymand part ofand has-partsand etc. At the second stepand a similarity measure among categories is appliedand in order to explore how (the) extracted properties and relations interrelate. This framework enables us to (a) better understand the impact of context in cross-ontology "mappingsänd (b) evaluate the "quality" of definitions as to whether they respect mere ontological aspects (such as unambiguous taxonomies)and and (c) deal more effectively with the problem of semantic translation among geographic ontologies.

@article{KKT04, abstract = {Numerous attempts have been made to generate semantic "mappings" between different ontologiesand or create aligned/integrated ones. An essential step towards their success is the ability to compare the categories involved. This paper introduces a systematic methodology for comparing categories met in geographic ontologies. The methodology explores/extracts semantic information provided by categories' definitions. The first step towards this goal is the recognition of syntactic and lexical patterns in definitionsand which help to identify (a) semantic properties such as purposeand locationand coverand and (b) semantic relations such as hypernymand part ofand has-partsand etc. At the second stepand a similarity measure among categories is appliedand in order to explore how (the) extracted properties and relations interrelate. This framework enables us to (a) better understand the impact of context in cross-ontology "mappings"and (b) evaluate the "quality" of definitions as to whether they respect mere ontological aspects (such as unambiguous taxonomies)and and (c) deal more effectively with the problem of semantic translation among geographic ontologies.}, added-at = {2007-09-07T17:29:28.000+0200}, author = {Marinos, Kavourasand and Margarita, Koklaand and Eleni, Tomaiand}, biburl = {https://www.bibsonomy.org/bibtex/2d14087f9e586f784eb94be3caff6fe76/mchaves}, booktitle = {Geospatial Research in Europe: AGILE 2003}, citeulike-article-id = {621852}, doi = {10.1016/j.cageo.2004.07.010}, interhash = {0420d042b9dbcc256735dfc7309187f6}, intrahash = {d14087f9e586f784eb94be3caff6fe76}, journal = {Computers \& Geosciences}, keywords = {geographic ontology relations semantic similarity}, month = {March}, number = 2, pages = {145--154}, priority = {4}, timestamp = {2007-09-07T17:29:40.000+0200}, title = {Comparing categories among geographic ontologies}, url = {http://www.sciencedirect.com/science/article/B6V7D-4F02KWP-4/2/80702bd02cbb0e91eacb1642d10863e7}, volume = 31, year = 2005 }