Products > MetaCarta GSRP
Summary
The MetaCarta GSRP geo-enables information so it can be used in location-based applications. MetaCarta offers six core Information Retrieval functions:
GeoTag
The GeoTag component identifies geographic references contained in a document. It’s simple and fast – the GeoTag component returns references with location, feature type, country, province/state, and confidence value. Output options include GeoMarkup (XML), JSON, KML, and PNG, dependent on whether you choose an on-premise Appliance or off-premise hosted solution.
GeoSearch
This component enables a geographic search. GeoSearch is used to build various User Interfaces and may also integrate into other applications.
Query Parser
The Query Parser component directs the user to more relevant content faster. In the case when a user enters a query that contains a geographic term, the Query Parser can send the search to both MetaCarta and a third party search Appliance (e.g. Autonomy, Google, etc) simultaneously. This helps return the most relevant content to the user, while leveraging the investment of existing enterprise search engines.
Location Finder
The Location Finder component returns all possible location matches for a geographic query. This offers a simple way for users to refine initial area of focus to deliver more accurate and relevant search results. The Location Finder can be used within a GeoSiteSearch GeoWeb Application or as a standalone application to find and disambiguate locations around the world.
Saved Search and Notification
The Saved Search and Notification component provides a continuous stream of geographic intelligence about a particular location. The component allows users to establish alerts for queries that match a pre-defined keyword and map extent. Create alerts for yourself, colleagues, or other applications. Alerts execute automatically at scheduled times. Notifications can be sent via email, RSS, Instant Message (IM), and active browser notification.
Document Density
The Document Density component helps users see the distribution of an entire geographic search result. Document density helps direct investigation by enabling users to quickly identify trends and ‘hotspots’ of information.
This is particularly useful when searching for a document that mentions something like “5 miles East of Waltham, MA", but does not specifically mention "Arlington, MA.”