Author:
Albert Weichselbraun
Affiliation:
Vienna University of Economics and Business, Austria
Keyword(s):
Geo-tagging, Quality assessment, Evaluation, Utility model, GeoNames.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Reduction and Quality Assessment
;
Information Extraction
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Mining Text and Semi-Structured Data
;
Symbolic Systems
Abstract:
Geo-tagging is the process of annotating a document with its geographic focus by extracting a unique locality that describes the geographic context of the document as a whole (Amitay et al., 2004). Accurate geographic annotations are crucial for geospatial applications such as Google Maps or the IDIOM Media Watch on Climate Change (Hubmann-Haidvogel et al., 2009), but many obstacles complicate the evaluation of such tags.
This paper introduces an approach for optimizing geo-tagging by applying the concept of utility from economic theory to tagging results. Computing utility scores for geo-tags allows a fine grained evaluation of the tagger’s performance in regard to multiple dimensions specified in use case specific domain ontologies and provides means for addressing problems such as different scope and coverage of evaluation corpora.
The integration of external data sources and evaluation ontologies with user profiles ensures that the framework considers use case specific requirem
ents. The presented model is instrumental in comparing different geotagging settings, evaluating the effect of design decisions, and customizing geo-tagging to a particular use cases.
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