Semantic Similarity Functions and Measures

doi:10.1016/B978-0-12-809633-8.20402-0

Reference Module in Life Sciences

Encyclopedia of Bioinformatics and Computational Biology

Volume 1, 2019, Pages 877-888

https://doi.org/10.1016/B978-0-12-809633-8.20402-0 Get rights and content

Abstract

Similarity is the process through which two or more objects are compared in order to identify to what extent they are alike. This is useful, for instance, when there is the need to identify common elements among a set of objects or when a new object has to be classified w.r.t. the others. Similarity is a very generic notion spanning among different disciplines from psychology to computer science. In this paper, the focus will be on computational methods that exploit ontologies or search engines as primary source of “background” knowledge. In particular, after surveying on the most popular similarity measures recently proposed, the Similarity Library will be presented, which has the aim to provide researchers and practitioners with a flexible tool encompassing several similarity measures both between words and sentences.

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Cited by (3)

Representation of polysaccharide molecules by SNFG and 3D-SNFG methods——Take Potentilla anserina L polysaccharide molecule as an example
2022, Biochemical and Biophysical Research Communications
Citation Excerpt :
Links can be displayed in the system using the IUPAC style, assuming the original carbon, and using hyphens (not commas) as options, and can be obtained as high-quality objects in the form of downloadable files [21–25]. Software has been introduced and the I UPAC notation can be converted directly to the SNFG notation on the web page [26,29]. According to the relevant experimental findings, the separation and purification of the purified fern polysaccharide molecule PAP-1 component, after SEC-LLS detection, found that the fern polysaccharide molecule PAP-1 component is a group of homogeneous polysaccharides, after the analysis of monosaccharide components, it was found that the fern polysaccharide PAP-1 component is made The molar ratio of Rha, Man, Glc and Gal is 1.00: 2.45: 9.84: 2.66, and the average molecular weight of PAP-1 is Mn 6.931 × 105, and then observed the structure of the fern polysaccharide molecule PAP-1 and found that it is a complex structure formed by the interweaving of several branched sugar chains [30]; Subsequent analysis of the structure of PAP-1 found that PAP-1 has a repeating unit pap-1 as shown in Fig. 1[31].
With the continuous deepening of international research in the field of biology, more and more studies have found that polysaccharides have multiple biological functions, so that polysaccharides have gradually become the research objects of more and more scientists in the world, and a large number of relevant researchers have carried out Glycobiology research, most of the current research is on the separation, extraction, structural characterization and activity experiments of polysaccharides. However, at this stage, research on the structure-activity relationship of various polysaccharides extracted from plants is relatively rare, and the representation method of polysaccharide structures is not perfect, not unified, complicated in drawing, and not beautiful and convenient to read. The SNFG (Symbol Nomenclature For Glycans) method, which is the symbolic nomenclature of polysaccharides and the 3D-SNFG method, can solve the above problems well, and can use unified rules to describe and describe the molecular structure of polysaccharides, and the painting process is more convenient and more convenient. It is beautiful and makes it easier for readers to read. In this paper, the fern hemp polysaccharide molecule is taken as an example. After drawing it with chemoffice, SNFG and 3D-SNFG are used to describe it, and then compared. It is clear at a glance that the use of SNFG and 3D-SNFG methods has been widely recognized and accepted internationally, which can provide great convenience for sugar-related research and information exchange.
Ontology-based semantic integration of heterogeneous data sources using ontology mapping approach
2020, Journal of Theoretical and Applied Information Technology
Learnability of interestingness with semantic similarity and reasoning in the knowledge base of decision support systems
2020, International Journal of Web Portals

Giuseppe Pirrò is a researcher at the Institute for High Performance Computing and Networking (ICAR-CNR). He got his PhD in Computer and System Engineering and Master Degree in Computer Engineering at the University of Calabria. His research interests include Semantic Web, graph databases, and distributed systems. He published papers in top journals and conferences including AIJ, TWEB, PVLDB, ISWC, AAAI, WWW, CIKM.

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