Automatic spatial metadata enrichment: reducing metadata creation burden through spatial folksonomies

Abstract

Metadata plays a key role in facilitating access to up-to-date spatial information and contributes to the finding and delivering of high quality spatial information services to users. In particular, metadata is an important element in functioning and facilitating spatial data infrastructure (SDI) initiatives. With huge amount of spatial information being generated, a spatial application must be sufficiently flexible to extract and update spatial metadata automatically.

Automatic spatial metadata generation framework includes three fundamental but complementary streams; automatic creation, automatic update and automatic enrichment of spatial metadata. This paper explores the automatic metadata enrichment stream based on the tagging and folksonomy concepts. The paper argues how folksonomies help bringing the vocabulary of spatial data users into play and using them hand in hand with those sometimes mysterious terms supplied by experts in metadata records.

The paper then builds on the tagging and folksonomy concepts and proposes a conceptual model to employ them for spatial metadata enrichment. The paper finally discusses advantages and disadvantages of this approach against formal type of organizing spatial metadata.