Results 1 to 10 of about 49,461 (233)
Multi-aspect Semantic Trajectory Similarity Computation Model
The development of mobile devices enables trajectory data to record more useful information, such as check in information and activity information, constituting semantic trajectory data.
CAI Mingxin, SUN Jing, WANG Bin
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Detecting semantic similarity between documents is vital in natural language processing applications. One widely used method for measuring the semantic similarity of text documents is embedding, which involves converting texts into numerical vectors ...
Ramadan T. Hassan , Nawzat S. Ahmed
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Semantic information interaction plays an important role in transportation infrastructure modeling and management. To ensure semantic consistency during information exchange and data integration, ontology technology is commonly employed to measure the ...
Tuyu Bao +5 more
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Sustainable semantic similarity assessment
The automatic semantic similarity assessment field has attracted much attention due to its impact on multiple areas of study. In addition, it is also relevant that recent advances in neural computation have taken the solutions to a higher stage. However, some inherent problems persist.
Martinez-Gil, Jorge +1 more
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For modern enterprises and organizations, new business workflow can be constructed by reusing already available similar workflows in the repository. Workflow reuse is an important method for implementing business workflow management.
Jinyong Sun, Tianlong Gu, Junyan Qian
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Lexical Semantic Similarity Algorithm Based on How-net [PDF]
On the study of lexical similarity,sememe similarity and concept similarity,this paper propose a sememe similarity computation algorithm based on the How-net semantic tree.This algorithm considers the node distance,the node depth and the number of ...
MA Yongqi,HAN Depei,MENG Lirong,YU Jie,CHENG Zheng
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Semantic Similarity: Foundations [PDF]
This paper investigates measures of semantic similarity between conversations from an axiomatic perspective. We abstract away from real conversations, representing them as sequences of formulas, equipped with a notion of semantic interpretation that maps them into a different space.
Dégremont, Cédric +2 more
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The K-Means Clustering Algorithm With Semantic Similarity To Estimate The Cost of Hospitalization
The cost of hospitalization from a patient can be estimated by performing a cluster of patient. One of the algorithms that is widely used for clustering is K-means.
Ida Bagus Gede Sarasvananda +2 more
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A COMPARISON OF SEMANTIC SIMILARITY MODELS IN EVALUATING CONCEPT SIMILARITY [PDF]
The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts.
Q. X. Xu, W. Z. Shi
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TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between ...
Fei Lan
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