Description: 领域本体的概念相似度计算，对研究语义web的很有帮助-The concept of domain ontology similarity calculation, the study of the useful semantic web Platform: |
Size: 78848 |
Author:gun |
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Description: An Ontology-Based Similarity
between Sets of Concepts-An Ontology-Based Similarity between Sets of Concepts Platform: |
Size: 162816 |
Author:叶知秋 |
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Description: 机器学习算法，朴素贝叶斯分类器，常用作文本分类，或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree Platform: |
Size: 7168 |
Author:兰明明 |
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Description: 本体的计算概念间语义相似度的方法，综合考虑了语义距离、节点深度和节点密度的影响，并加入了一个可调节的
参数，以适应不同场景下的灵活应用，最后简单介绍了语义相似度在搜索引擎领域的应用-Computing semantic similarity between concepts of ontology, considering the impact of the semantic distance from the node depth and node density, and add an adjustable
Parameters to adapt to the flexible application of different scenarios, and finally a brief introduction to the application of semantic similarity in the field of search engine Platform: |
Size: 276480 |
Author:王海涛 |
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Description: Web service function is continually strengthened, and Web service quantity increases rapidly, it is urgent to solve the problem on automatic service matching and composition to meet service request. The service matching algorithm for bionic manufacturing domain-specific ontology is proposed in the paper. For this algorithm, the semantic similarity between two concepts is calculated according to the distance of two nodes corresponding to two words of service request and description. The revised index for matching the key word is considered to emphasize the key parameter among service description, and the matching accuracy is highly improved. The total matching degree of service is equal to the average of all semantic similarities between the service request and the service description Platform: |
Size: 769024 |
Author:stefi |
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Description: Establishing the compatibility of services is an essential prerequisite
to service composition. By formally defining the
similarity of semantic services, useful information can be
obtained about their compatibility. In this paper we propose
a metric for measuring the similarity of semantic services
annotated with OWL ontology. Similarity is calculated
by defining Platform: |
Size: 1136640 |
Author:stefi |
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Description: In this research two automatic video annotation techniques are considered. The first technique uses ontology to reduce the semantic gap during video retrieval and other performs a group based image retrieval using video files. The proposed algorithm uses GIR algorithm to create similar image group. From this refined set of images, SIFT features are extracted and the steps used by ASVA algorithm is performed to annotate the video in a semantic fashion. The Automatic Semantic based Video Annotation algorithm performs annotation in three steps. The first step calculates the video similarity using SIFT features, sentence and synonym analysis is performed in the second to find similar meaning annotations and finally the conjunction of the sentences are analyzed to increase the certainty of each annotation using Concept Net. Platform: |
Size: 697344 |
Author:Ambika |
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Description: 生物领域利用fastsemsim计算基因本体gene ontology之间的相似性，结果可以衡量不同基因之间的渊源关系。-In the field of biology, fastsemsim is used to calculate the similarity of gene ontology gene ontology, and the results can be used to measure the relationship between different genes. Platform: |
Size: 34586624 |
Author:李阅志 |
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Search - similarity ontology