Early this week, I attended a geospatial semantic web meeting organized by the National Geospatial-Intelligence Agency (NGA). The attendees of the meeting were researchers from different companies and government agencies that are the participants of an NGA-sponsored geospatial semantic web project.
Key research issues that NGA is interested to address:
- Geospatial data and information sharing: many government agencies (including NGA) have vast amount of geospatial data and information. Because different kinds of geospatial data have different representations, often sharing the data among different groups of analysts are difficult.
- Problem solving and mapping: a key task of a geospatial analyst is to solve problems, e.g., figuring out if the N. Korean government is building WMD facilities in a particular region. As the geospatial intelligence technology improves, more data and information will need to be analyzed by an analyst. How to develop systems that can help geospatial anaylsts to solve problems quickly and effectively is a challenging issue.
There is a disccusion group for people who are the participants of the NGA’s geospatial semantic web project. Because this is private group, membership is by invitation only.
There is a public discussion group for people who have general interest in the geospatial semantic web technology (see below).
Geospatial Semantic Web Group (or geo-semanticweb-interest) is an open discussion group for people who are interested in the research and development of geospatial semantic web.
Topics of interest includes the use of semantic web languages (RDF, RDFS, OWL) and ontologies in geospatial applications, software tools and systems for building geospatial semantic web applications, and the latest news and development of geospatial semantic web research.