Paper Info
Title
Ontology querying support in semantic annotation process
Abstract
In this paper, we present an approach to ontology querying for the purpose of supporting the semantic annotation process. We present and evaluate two algorithms, (i) a baseline algorithm and (ii) a graph-based algorithm based on the bag-of-words text representation and PageRank. We evaluate the two approaches on a set of semantically annotated geospatial Web services. We show that the graph-based algorithm significantly outperforms the baseline algorithm. The devised solution is implemented in Visual OntoBridge, a tool that provides an interface and functionality for supporting the user in the semantic annotation task. The improvement over the baseline is also reflected in practice.
Year
DOI
Venue
2012
10.1007/978-3-642-32695-0_9
PRICAI
Keywords
Field
DocType
ontology querying support,baseline algorithm,semantically annotated geospatial web,semantic annotation task,bag-of-words text representation,visual ontobridge,graph-based algorithm,semantic annotation process
Ontology,PageRank,Graph,Semantic annotation,Information retrieval,Computer science,Geospatial web service
Conference
Citations 
PageRank 
References 
0
0.34
12
Authors
4
Name
Order
Citations
PageRank
Miha Grcar122415.71
Vid Podpečan2302.57
Borut Sluban3847.94
Igor Mozetic4608198.93