Geospatial Semantic Web Blog

Swoogle is a Semantic Web search engine developed by researchers at the Ebiquity Research Group at UMBC. As of June 5th, 2006, the Swoogle crawler has found 1.5 million semantic web documents.

These 1.5M documents comprise about 1M RDF documents, 350K documents with embedded RDF data and 150K documents that look like Semantic Web documents but are currently inaccessible or fail to parse properly. About 3000 new documents are discovered each day. We estimate that of the 1M RDF documents, about 1% (10K) are ontologies, as opposed to data, examples or test files.

Here is how you can discover geospatial ontology using Swoogle.

(1) Find any ontology documents that mention keyword “geo”

• Enter search string “geo“

(2) Find only OWL documents that mention keyword “geo”

• Enter search string “hasFiletype:owl geo“

(3) Find only RDF documents that mention keyword “geo” and “latitude”

• Enter search string “hasFiletype:owl geo latitude“

(4) Find any ontology documents that mention keyword “geometry” but not “algebra”

• Enter search string “geometry NOT algebra“

(5) Find all RSS feeds that contains the term “geo”

• Click on the “document” search option on the top of the search box
• Enter search string “hasFiletype:rss geo“

For more search options, see Swoogle user guide.

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