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An Optimization for Hybrid Semantic Similarity Computation
2015
International Journal of Hybrid Information Technology
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Generally speaking, ontology concepts semantic similarity computation is tedious and time-consuming. This paper puts forward an optimization algorithm to simplify semantic similarity computation. ...
Simulation experiments showed the optimization algorithm could make similarity computation simple and convenient, and similarity computation speed was improved by one time. ...
Based on the semantic similarity of one concept pair, the optimization algorithm can give semantic similarity of arbitrary concept pair in the ontology. ...
doi:10.14257/ijhit.2015.8.10.19
fatcat:pgmqrqe5frbt3fh7rnl3te4lay
New-Fangled Alignment of Ontologies for Content Based Semantic Image Retrieval
2015
Procedia Computer Science
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This paper highlights content based image retrieval system using alignment of ontologies. The traditional contents-based image retrieval systems using single ontology retrieve imprecise images. ...
To overcome this weakness, proposed image retrieval system designed using core semantic multiple ontology which merges feature ontology, semantic feature ontology, user ontology and metadata ontology. ...
Fundamental of ontology In Computer Science, ontology is an explicit specification of the conceptualisation of the domain. ...
doi:10.1016/j.procs.2015.04.185
fatcat:zxe7fjinmbeo3ptokasdqkftoa
Agricultural Library Information Retrieval Based on Improved Semantic Algorithm
[chapter]
2015
IFIP Advances in Information and Communication Technology
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The traditional semantic similarity algorithm was improved according to its shortages. An algorithm based on semantic distance was designed and tested. ...
The results can improve the recall ratio and precision of information retrieval, improving information retrieval performance. ...
How to build the information query model based on semantic technology was a subject to be solved in which the most key problem was the semantic similarity computation. ...
doi:10.1007/978-3-319-19620-6_65
fatcat:hfu6cd3pe5fxrjq7ay6g3f5cr4
Ontology and Clustering Based Heterogeneous Data Sources Integration
2020
International Journal of Advanced Trends in Computer Science and Engineering
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Thus, this work presents heterogeneous data source integration model based on novel semantic ontology. ...
Secondly, it applies the kernel-based similarity learning to compute the similarity between the heterogeneous data sources. ...
Figure 1 shows the proposed integration model based on the semantic ontology. ...
doi:10.30534/ijatcse/2020/79942020
fatcat:eqg4nhf3azfwjh4noal3dn6sly
COGOM: Cognitive Theory Based Ontology Matching System
2016
Procedia Computer Science
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This paper focuses on designing an ontology matching system in which concepts are modeled based on cognitive units of knowledge comprising of objects, attributes and relationships. ...
The similarity computation is adapted from the Tversky psychological model of similarity. ...
of
Bayesian decision
Alignments based on background
knowledge produces unsatisfactory
results
FalconAO++:An Improved
Ontology Alignment System 8 -2014
OAEI
conference
track data set
1.Divide ...
doi:10.1016/j.procs.2016.05.237
fatcat:njhrngian5acrdrrdhzj254aoe
A Semantic Vector Retrieval Model for Desktop Documents
2008
2008 International Conference on Computer Science and Software Engineering
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weight computing based on statistical method, the expression of semantic relations between different keywords, the description of document semantic vectors and the similarity calculating, etc. ...
The paper provides a semantic vector retrieval model for desktop documents based on the ontology. ...
The Features of New Model Though the semantic vector space model draws on some thinking of traditional vector space model, it make some useful improvements based on the specific features of semantic information ...
doi:10.1109/csse.2008.421
dblp:conf/csse/Sheng08
fatcat:ldsxy4sghbcbhbsz3pndycltuy
A Semantic Vector Retrieval Model for Desktop Documents
2009
Journal of Software Engineering and Applications
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weight computing based on statistical method, the expression of semantic relations between different keywords, the description of document semantic vectors and the similarity calculating, etc. ...
The paper provides a semantic vector retrieval model for desktop documents based on the ontology. ...
The Features of New Model Though the semantic vector space model draws on some thinking of traditional vector space model, it make some useful improvements based on the specific features of semantic information ...
doi:10.4236/jsea.2009.21009
fatcat:c533wrur2bcprgjudk5gjyrseu
A Novel Optimization Model Based on the Unification of Proximity and Semantic Similarity in Grid Computing
2015
Journal of Software & Systems Development
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To overcome the issue and enhance the Grid performance, we propose a novel optimization model based on Unification of Proximity and Semantic similarity in Grid Computing. ...
The reason for poor selection is because of the allocation of Grid resources based on First Come First Serve (FCFS) scheme, which reduces the utilization of a domain-based semantic ontology Grid system ...
The model optimizes the selection of an appropriate resource for current job requirements based on node proximity and semantic similarity factors. ...
doi:10.5171/2015.926190
fatcat:wgj3i5zfmjb7dmidjkkvdx3v4e
A density compensation-based path computing model for measuring semantic similarity
[article]
2015
arXiv
pre-print
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Therefore, in order to solve the problem of non-uniformity of concept density in a large taxonomic ontology, we propose a new path computing model based on the compensation of local area density of concepts ...
The shortest path between two concepts in a taxonomic ontology is commonly used to represent the semantic distance between concepts in the edge-based semantic similarity measures. ...
Edge is an important component of the hierarchical structure of a taxonomic ontology, so the edge-based semantic similarity metric is intuitive, easy to understand and has low computational complexity. ...
arXiv:1506.01245v1
fatcat:6y3lpzzohrdyjghrmbj6gckjee
Web Service Discovery Methods and Techniques: A Review
2014
International Journal of Computer Science Engineering and Information Technology
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We focus on the latter, which is further divided into semantic-based, syntax-based and context-aware. ...
We focus on the matchmaking view which is further divided into semantic-based, syntax-based and context-aware. ...
This similarity is based on an accurate concept semantic similarity of the domain ontology. A domain ontology hierarchy is defined to describe the concept semantic information. ...
doi:10.5121/ijcseit.2014.4101
fatcat:oo2oig5eybhqnipc27mjk4qfke
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology
[article]
2017
arXiv
pre-print
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the similarity between topic events based on the domain ontology to acquire the semantic similarity between articles. ...
In this paper, we focus on the document-level semantic similarity issue for academic literatures with a novel method. ...
We thank the reviewers for their valuable feedback, which help to improve the paper. ...
arXiv:1711.11508v1
fatcat:5b4elb2b7fcrvkoxqgpa25hkqa
A Novel Comprehensive Approach for Estimating Concept Semantic Similarity in WordNet
[article]
2017
arXiv
pre-print
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Computation of semantic similarity between concepts is an important foundation for many research works. ...
Based on analyzing representative IC computing methods and typical semantic similarity measures, we propose a new hybrid IC computing method. ...
Acknowledgments The work in this paper was supported by Chinese National Natural Science Foundation (Grant No. 61562072). ...
arXiv:1703.01726v1
fatcat:su2tafqvvjam7eazoepav4ew74
Emerging Trends in Reducing Semantic Gap towards Multimedia Access: A Comprehensive Survey
2016
Indian Journal of Science and Technology
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Application/Improvement: Use of Description logics increases the efficiency of semantic retrieval. ...
Findings: This paper provides an overview of contemporary challenges and open research issues in reducing the Semantic gap. ...
In order to improve the human computer communication interface, understanding semantic concepts of images based on linguistic descriptions is necessary. ...
doi:10.17485/ijst/2016/v9i30/99072
fatcat:asnamx3urveabjyritsri3guuy
A semantic similarity method based on information content exploiting multiple ontologies
2013
Expert systems with applications
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Results show an improvement in the similarity assessment accuracy when multiple ontologies are considered. ...
The quantification of the semantic similarity between terms is an important research area that configures a valuable tool for text understanding. ...
Acknowledgements This work was partly funded by the Spanish Government through the projects CONSOLIDER ...
doi:10.1016/j.eswa.2012.08.049
fatcat:dk4dvnaysfhtvf3l62f4ztw2fa
Ontology based Similarity Measure in Document Ranking
2010
International Journal of Computer Applications
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The retrieval model is based on the importance factors of the structural elements, which are used to re-rank the documents retrieval by the ontology based distance measure. ...
This paper presents a methodology for the ontology based semantic annotation of web pages with annotation weighting scheme that takes advantage of the different relevance of structured document fields. ...
The authors express their sincere thanks to the Management and Principal for their encouragement and support. ...
doi:10.5120/469-774
fatcat:fvggphmzlrcwpehjttce3opzhy
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