%0 Journal Article %1 fonseca02 %A Fonseca, F. %A Egenhofer, M. %A Agouris, P. %A Camara, C. %D 2002 %J Transactions in GIS %K ontology gis %N 3 %T Using Ontologies for Integrated Geographic Information Systems %U http://www.cs.toronto.edu/~nernst/papers/fonseca02usingsem-gis.pdf %V 6

@article{fonseca02, added-at = {2006-03-24T16:34:33.000+0100}, author = {Fonseca, F. and Egenhofer, M. and Agouris, P. and Camara, C.}, biburl = {https://www.bibsonomy.org/bibtex/2475a049e6ca180583e9e7d143e9a41c5/neilernst}, citeulike-article-id = {111833}, comment = {Proposes an ontology-driven GIS which can alleviate the tyranny of the data standard. People have a lot of money invested in a particular standard and have little willingness to convert over. However there are compelling reasons to integrate disparate data sources. Ontologies can act as systems integrators. digital libraries initiatives want: GIS arch. which can intergrate seamlessly data based on semantic value regardless of representation. field - geological maps object - discret identifiable entities what is an ontology: gruber definition, difference between ontology and conceptualization is the notion of commitment to a specific ontological framework. four views of the universe: physical- conceptual/mathematical/logical - representation - implementation trad. start with implementation, this paper starts with physical cognitive and logical good example of integration problem : integrating Rem. Sense data into a GIS - GIS can enhance and RSS can enhance GIS "the use of standards as the only means to achieve interoperability is not widely accepted" - SAID, SDTS, OpenGIS rather use semantic translators NOTE : solution cannot rely on complete dataset metadata as this is unlikely to happen :survey of datasets and metadata completeness? are there any? integration of time into data already have the notion of knowledge representation as a fundamental part of scene recognition in image processing their approach: use the ontology to match features found in image to classes in the ontology inadequacy of the map (layer) metaphor the availability assumption - large numbers of ontologies will be created somehow by someone see the ODGIS schema, seems exactly what we want for NASA proposal -knowledge generation and knowledge use richer semantics of ontologies vs. database schemas - a lot of people will be arguing this I believe, as a lot of data is invested in DBs notion of GICs - Geospatial Information Communities assumption: each GIC agrees on an ontology, which can be later merged with other communities levels of ontologies eg a lake - paper assumes consensus can be reached on the fundamental properties of a lake architecture of the ODGIS system: info - mediators - ontologies - applications browsing high-level ontologies means high-level (small scale) data is returned. modelling of multiple inheritance using roles (interfaces) lake is seen differently by water people and park people. We will never interchange all their data due to this dichotomy, but we can share the commonalities}, description = {sdasda}, interhash = {c7ecbe59f9f4339d5ea0662c406041a3}, intrahash = {475a049e6ca180583e9e7d143e9a41c5}, journal = {Transactions in GIS}, keywords = {ontology gis}, number = 3, pdf = {fonseca02usingsem-gis.pdf}, priority = {0}, timestamp = {2006-03-24T16:34:33.000+0100}, title = {Using {O}ntologies for {I}ntegrated {G}eographic {I}nformation {S}ystems}, url = {http://www.cs.toronto.edu/~nernst/papers/fonseca02usingsem-gis.pdf}, volume = 6, year = 2002 }