scholarly journals A Semantic Similarity Analysis for Data Mappings between Heterogeneous XML Schemas

2011 ◽  
pp. 37-52
Author(s):  
Jaewook Kim ◽  
Yun Peng
Keyword(s):  
Semantic Similarity ◽  
Semantic Information ◽  
Similarity Measures ◽  
Past Research ◽  
Xml Schema ◽  
Similarity Analysis ◽  
Schema Mapping ◽  
Business Applications ◽  
The Hierarchical Structure ◽  
Semantic Similarity Analysis

One of the most critical steps to integrating heterogeneous e-business applications using different XML schemas is schema mapping, which is known to be costly and error-prone. Past research on schema mapping has not made full use of semantic information imbedded in the hierarchical structure of the XML schema. This chapter investigates the existing schema mapping approaches and proposes an innovative semantic similarity analysis approach to facilitate XML schema mapping, merging and reuse. Several key innovations are introduced to better utilize available semantic information. These innovations include: (1) a layered structure analysis of XML schemas, (2) layer-specific semantic similarity measures, and (3) an efficient semantic similarity analysis using parallel and distributed computing technologies. Experimental results using two different schemas from a real world application demonstrate that the proposed approach is valuable for addressing difficulties in XML schema mapping.

scholarly journals Semantic Similarity Analysis on Knowledge Based and Prediction Based Models

2020 ◽  
Vol 9 (6) ◽  
pp. 477-481
Keyword(s):  
Semantic Information ◽  
Similarity Measures ◽  
Similarity Analysis ◽  
Document Similarity ◽  
Knowledge Based ◽  
Sentence Similarity ◽  
Semantic Models ◽  
Term Similarity ◽  
Proximity Measures ◽  
Semantic Similarity Analysis

The similarity between two synsets or concepts is a numeral measure of the degree to which the two objects are alike or not and the similarity measures say the degree of closeness between two synsets or concepts. The similarity or dissimilarity represented by the term proximity. Proximity measures are defined to have values in the interval [0, 1]. Term Similarity, Sentence similarity and Document similarity are the areas of text similarity. Term similarity measures used to measure the similarity between individual tokens and words, Sentence similarity is the similarity between two or more sentences and Document similarity used to measure the similarity between two or more corpora. This paper is the study between Knowledge based, Distribution based and prediction based semantic models and shows how knowledge based methods capturing information and prediction based methods preserving semantic information.

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