Matches in SemOpenAlex for { <https://semopenalex.org/work/W1570431094> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W1570431094 abstract "Existing geographic information systems (GIS) are intended for expert users and consequently, do not provide any machine intelligence to assist users. This paper presents a Bayesian framework that will incorporate expert knowledge in order to retrieve all relevant datasets given an initial user query. The framework uses a spatial model that combines relational, non-spatial and spatial data. This spatial model allows efficient access of relational linkages for a Bayesian network, and thus improves support for complex and vague queries. The Bayesian network assigns causal probabilities to these relational linkages in order to define expert knowledge of related datasets in the GIS. In addition, the framework will learn which datasets are best suited for particular query input through feedback supplied by the user. This contribution will increase the performance and efficiency of knowledge extraction from GIS by allowing users to focus on interpreting data, instead of focusing on finding which data is relevant to their analysis. The initial user query can be vague and the framework will still be capable of retrieving relevant datasets via the linkages discovered in the Bayesian network." @default.
- W1570431094 created "2016-06-24" @default.
- W1570431094 creator A5031704513 @default.
- W1570431094 creator A5053150560 @default.
- W1570431094 creator A5056102989 @default.
- W1570431094 date "2004-06-03" @default.
- W1570431094 modified "2023-09-27" @default.
- W1570431094 title "A Bayesian framework for automated dataset retrieval in geographic information systems" @default.
- W1570431094 cites W114446980 @default.
- W1570431094 cites W1490705649 @default.
- W1570431094 cites W1622775727 @default.
- W1570431094 cites W1923853895 @default.
- W1570431094 cites W1961519221 @default.
- W1570431094 cites W2000805332 @default.
- W1570431094 cites W2022858412 @default.
- W1570431094 cites W2030617491 @default.
- W1570431094 cites W2042686514 @default.
- W1570431094 cites W2099609023 @default.
- W1570431094 cites W2100883737 @default.
- W1570431094 cites W2107680332 @default.
- W1570431094 doi "https://doi.org/10.1109/mulmm.2004.1264978" @default.
- W1570431094 hasPublicationYear "2004" @default.
- W1570431094 type Work @default.
- W1570431094 sameAs 1570431094 @default.
- W1570431094 citedByCount "5" @default.
- W1570431094 countsByYear W15704310942012 @default.
- W1570431094 countsByYear W15704310942020 @default.
- W1570431094 crossrefType "proceedings-article" @default.
- W1570431094 hasAuthorship W1570431094A5031704513 @default.
- W1570431094 hasAuthorship W1570431094A5053150560 @default.
- W1570431094 hasAuthorship W1570431094A5056102989 @default.
- W1570431094 hasBestOaLocation W15704310942 @default.
- W1570431094 hasConcept C107673813 @default.
- W1570431094 hasConcept C119857082 @default.
- W1570431094 hasConcept C120665830 @default.
- W1570431094 hasConcept C121332964 @default.
- W1570431094 hasConcept C124101348 @default.
- W1570431094 hasConcept C154945302 @default.
- W1570431094 hasConcept C192209626 @default.
- W1570431094 hasConcept C23123220 @default.
- W1570431094 hasConcept C33724603 @default.
- W1570431094 hasConcept C41008148 @default.
- W1570431094 hasConcept C5655090 @default.
- W1570431094 hasConceptScore W1570431094C107673813 @default.
- W1570431094 hasConceptScore W1570431094C119857082 @default.
- W1570431094 hasConceptScore W1570431094C120665830 @default.
- W1570431094 hasConceptScore W1570431094C121332964 @default.
- W1570431094 hasConceptScore W1570431094C124101348 @default.
- W1570431094 hasConceptScore W1570431094C154945302 @default.
- W1570431094 hasConceptScore W1570431094C192209626 @default.
- W1570431094 hasConceptScore W1570431094C23123220 @default.
- W1570431094 hasConceptScore W1570431094C33724603 @default.
- W1570431094 hasConceptScore W1570431094C41008148 @default.
- W1570431094 hasConceptScore W1570431094C5655090 @default.
- W1570431094 hasLocation W15704310941 @default.
- W1570431094 hasLocation W15704310942 @default.
- W1570431094 hasLocation W15704310943 @default.
- W1570431094 hasOpenAccess W1570431094 @default.
- W1570431094 hasPrimaryLocation W15704310941 @default.
- W1570431094 hasRelatedWork W1488266984 @default.
- W1570431094 hasRelatedWork W1599577651 @default.
- W1570431094 hasRelatedWork W1956930971 @default.
- W1570431094 hasRelatedWork W2368984408 @default.
- W1570431094 hasRelatedWork W2377964324 @default.
- W1570431094 hasRelatedWork W2902946190 @default.
- W1570431094 hasRelatedWork W3154094704 @default.
- W1570431094 hasRelatedWork W3202826987 @default.
- W1570431094 hasRelatedWork W4210723310 @default.
- W1570431094 hasRelatedWork W563404 @default.
- W1570431094 isParatext "false" @default.
- W1570431094 isRetracted "false" @default.
- W1570431094 magId "1570431094" @default.
- W1570431094 workType "article" @default.