Abstract
GML is the encoding specification of geospatial data, more and more geospatial data are represented in GML documents. It’s efficient to use database technologies to manage and maintain the geospatial data described by GML. The index in a database can help to locate the tuples for a query. In order to query GML data efficiently, appropriate index structure should be designed. In this paper, a method to build path index for the GML document is proposed based on its storage schema. The path index records the sequences and levels of elements in the GML document. Tuples stored in tables can be quickly located for a query with the path index, and the structure information recorded in the path index can help to reconstruct the GML document.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
