Semantic web technologies to automate searching for geospatial data

ABSTRACT

This paper presents Semantic Web technology for the oftentimes difficult task of searching for government-produced geospatial data. We present a conceptual model that takes a task-based approach, and we formalize relationships between types of tasks, including emergencies, and types of data sources needed for those tasks. We explore the abilities and limitations of Semantic Web languages, tools, and rule engines.

REFERENCES

• 1: Jos de Bruijn , Rubén Lara , Axel Polleres , Dieter Fensel, OWL DL vs. OWL flight: conceptual modeling and reasoning for the semantic Web, Proceedings of the 14th international conference on World Wide Web, May 10-14, 2005, Chiba, Japan [doi>10.1145/1060745.1060836]
• 2: Geospatial One-Stop, http://www.geo-one-stop.gov.
• 3: O'Conner, M., Knublauch, H., Tu, S., Grosof, B., Dean, M. Grosso, W., and Mussen, M. 2005. Supporting rule system interoperability on the Semantic Web with SWRL. Fourth International Semantic Web Conference (ISWC2005), Galway, Ireland.
• 4: Stanford, How Does It Work? (OWL Example Wine Agent), http://www.ksl.stanford.edu/projects/wine/explanation.html# ontology.
• 5: Walker, A. Understandability and semantic interoperability of diverse rules systems, W3C Workshop on Rule Languages for Interoperability. (April 2005), Washington, D.C.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representation languages

General Terms:
Design, Management

Keywords:
geospatial, government data, ontology, searching, semantic web, task-based