SEM+: tool for discovering concept mapping in Earth science related domain

The amount of Earth Science related domain concepts and vocabularies encoded in popular Semantic Web languages such as OWL and SKOS grows rapidly as more and more domain scientists realize the power of Semantic Web Technologies. The interlinking between these concepts will enable the possibility of...

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Bibliographic Details
Published in:Earth science informatics 2015-03, Vol.8 (1), p.95-102
Main Authors: Zheng, Jin Guang, Fu, Linyun, Ma, Xiaogang, Fox, Peter
Format: Article
Language:English
Subjects:
Blocking
Concept mapping
Earth and Environmental Science
Earth science
Earth Sciences
Earth System Sciences
Entropy
Information Systems Applications (incl.Internet)
Oceans
Ontology
Recognition
Research Article
Semantic web
Semantics
Similarity
Simulation and Modeling
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
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Summary:The amount of Earth Science related domain concepts and vocabularies encoded in popular Semantic Web languages such as OWL and SKOS grows rapidly as more and more domain scientists realize the power of Semantic Web Technologies. The interlinking between these concepts will enable the possibility of performing data integration and identity recognition, which is crucial in developing applications that use data from multiple sources. In this paper, we discuss a new tool for performing concept mapping called SEM+. In SEM+, we designed the Information Entropy based Weighted Similarity Model to compute semantic similarity between entity data and suggest possible linking. We also adopted a blocking approach to group possible matching entities into one block and therefore reduce the computation space. We performed evaluations on SEM+ using the Integrated Ocean Observatory System ontology and the Marine Metadata Interoperability ontology and discussed the results and new findings.
ISSN:1865-0473
1865-0481
DOI:10.1007/s12145-014-0203-1