Semantic annotation of maps through knowledge provenance

Authors:
Nicholas Del Rio;Paulo Pinheiro da Silva;Ann Q. Gates;Leonardo Salayandia
Affiliations:
The University of Texas at El Paso, Computer Science, El Paso, TX;The University of Texas at El Paso, Computer Science, El Paso, TX;The University of Texas at El Paso, Computer Science, El Paso, TX;The University of Texas at El Paso, Computer Science, El Paso, TX
Venue:
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Year:
2007

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Abstract

Maps are artifacts often derived from multiple sources of data, e.g., sensors, and processed by multiple methods, e.g., gridding and smoothing algorithms. As a result, complex metadata may be required to describe maps semantically. This paper presents an approach to describe maps by annotating associated provenance. Knowledge provenance can represent a semantic annotation mechanism that is more scalable than direct annotation of map. Semantic annotation of maps through knowledge provenance provides several benefits to end users. For example, a user study is presented showing that scientists with different levels of expertise and background are able to evaluate the quality of maps by analyzing their knowledge provenance information.