DocumentCode
3192376
Title
Measuring information content for an ontological concept
Author
Cross, Valerie ; Chennai-Thiagarajan, Anurekha
Author_Institution
Comput. Sci. & Software Eng., Miami Univ., Oxford, OH, USA
fYear
2012
fDate
6-8 Aug. 2012
Firstpage
1
Lastpage
6
Abstract
Numerous ontological or semantic similarity measures have been proposed to determine how similar one concept is to another within the context of an ontology. One category of such measures uses a measure of information content (IC) for ontological concepts. The various approaches to determining IC measures are reviewed. The early corpus-based IC measure is first presented and its weakness discussed. Then the earliest ontology-based IC measure using decedents only is described followed by the two more recent proposals that attempt to improve on the original descendents only ontology-based IC measure. These three IC measures are then analyzed and critiqued based on the assumptions made during their construction. Analysis of the strengths and weakness of the three proposed IC measures suggest intuitive principles to be followed in construction of other IC measures.
Keywords
information management; ontologies (artificial intelligence); corpus-based IC measure; information content measurement; ontological concept; ontology-based IC measure; semantic similarity measures; Benchmark testing; Biomedical measurements; Correlation; Integrated circuits; Ontologies; Semantics; Standards; corpus-based information content; ontological similarity; ontology-based information content; semantic similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location
Berkeley, CA
ISSN
pending
Print_ISBN
978-1-4673-2336-9
Electronic_ISBN
pending
Type
conf
DOI
10.1109/NAFIPS.2012.6291016
Filename
6291016
Link To Document