Comparison of Ontology-Based Semantic-Similarity Measures in the Biomedical Text
نویسندگان
چکیده
منابع مشابه
Comparison of Ontology-based Semantic-Similarity Measures
Semantic-similarity measures quantify concept similarities in a given ontology. Potential applications for these measures include search, data mining, and knowledge discovery in database or decision-support systems that utilize ontologies. To date, there have not been comparisons of the different semantic-similarity approaches on a single ontology. Such a comparison can offer insight on the val...
متن کاملGene Ontology-based Semantic Similarity Measures
Quantitative measure of functional similarity between gene products is important for post-genomics study. The similarity measures may be used to validate high-throughput protein interaction data, help the development of new pathway modelling tools and clustering methods, and enable the identification of functionally related gene products independent of homology [Guo et al., 2006, Schlicker et a...
متن کاملA framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain
Ontologies are widely adopted in the biomedical domain to characterize various resources (e.g. diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the structured knowledge that ontologies provide, a plethora of ad hoc and domain-specific semantic similarity measures have been defined over the last years. Nevertheless, some critical questions remain: which measur...
متن کاملOntology Based Semantic Similarity Comparison of Documents
In this work we consider ontologies as knowledge structures that specify terms, their properties and relations among them to enable knowledge extraction from texts. We represent ontologies using a graph-based model that reflect semantic relationship between concepts and apply them to text analysis and comparison. Instead of raw document comparison we compare document footprint enhanced with con...
متن کاملCorpus-based and Knowledge-based Measures of Text Semantic Similarity
This paper presents a method for measuring the semantic similarity of texts, using corpus-based and knowledge-based measures of similarity. Previous work on this problem has focused mainly on either large documents (e.g. text classification, information retrieval) or individual words (e.g. synonymy tests). Given that a large fraction of the information available today, on the Web and elsewhere,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computer and Communications
سال: 2017
ISSN: 2327-5219,2327-5227
DOI: 10.4236/jcc.2017.52003