1 / 8

Generating Composite Thematic Maps From Semantically-Different Shapefile Collections

Generating Composite Thematic Maps From Semantically-Different Shapefile Collections. Ghulam Memon Ashraf Memon Kai Lin Ilya Zaslavsky. Introduction. Ontology Is a collection of well defined terms, which belong to a particular domain. Shows relations between these terms.

milla
Download Presentation

Generating Composite Thematic Maps From Semantically-Different Shapefile Collections

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Generating Composite Thematic Maps From Semantically-Different Shapefile Collections Ghulam Memon Ashraf Memon Kai Lin Ilya Zaslavsky www.geongrid.org

  2. Introduction • Ontology • Is a collection of well defined terms, which belong to a particular domain. • Shows relations between these terms. • Makes data search intelligent by adding a layer of indirection • GEON Data Registration • Data Registration • Item Level Registration • Item Detail Level Registration Dataset USGS Geology Time Scale Ontology Mesozoic Item Detail Level Jr. Tri Jurassic Cretaceous Triassic Jurr Global Legend #4DB47E #7EC31C #67C387 www.geongrid.org

  3. Semantically Different Shapefile Collections www.geongrid.org

  4. Composite Thematic Maps www.geongrid.org

  5. Ontology Service Knowledge Representation Ontology Engine Mapping Services Mapping ArcIMS Webservices Middleware Architecture Geon Dataset Ids GEONSearch/Compositon Portlet Color – Value Map Gridsphere • Dataset Ids to Dataset Names • Dataset Ids to Ontology Ids • Ontology Ids to Ontology Names • Ontology Ids to Ontology Concepts Generate Map GEON Metadata Catalogue Download Datasets SRB www.geongrid.org

  6. Query Portlet Capabilities • Datasets are queried for concepts instead of keywords. • Generated result sets can be downloaded. • Result sets can be saved in user’s work space. • Generation of integrated maps. www.geongrid.org

  7. Architecture Geon Dataset Ids Client Portlet Map Integration Portlet (Mediator) Gridsphere • Dataset Ids to Dataset Names • Dataset Ids to Ontology Ids • Ontology Ids to Ontology Names • Ontology Ids to Ontology Concepts Redefine Query Generate Map GEON Metadata Catalogue Execute Query Mapping Services Query Service Ontology Service Webservices SRB Mapping Download Datasets Query Tracking DB Knowledge Representation Store Query Results Query Result Indexing Ontology Engine ArcIMS www.geongrid.org

  8. Future Goals • Improve and Enhance query performance • Save generated result sets. • Index the query itself, so that next time the query doesn’t need to be executed but the stored result set is given back. • Generated result sets can be intelligently associated with ontologies • Support spatial queries instead of queries based on pre-selected datasets. www.geongrid.org

More Related