Research on Construction and Automatic Expansion of Multi-source Lexical Semantic Knowledge Base

2019 ◽  
pp. 74-85
Author(s):  
Siqi Zhu ◽  
Yi Li ◽  
Yanqiu Shao
Keyword(s):  
Knowledge Base ◽  
Semantic Knowledge ◽  
Lexical Semantic ◽  
Lexical Semantic Knowledge ◽  
Semantic Knowledge Base

scholarly journals Lexical Semantic Knowledge of Children with ASD—a Review Study

2021 ◽  
Author(s):  
Nufar Sukenik ◽  
Laurice Tuller
Keyword(s):  
Children With Autism ◽  
Semantic Knowledge ◽  
Future Studies ◽  
Lexical Semantic ◽  
Children With Asd ◽  
Wide Range ◽  
Lexical Semantic Knowledge ◽  
Review Study ◽  
Linguistic Impairment ◽  
Semantic Skills

AbstractStudies on the lexical semantic abilities of children with autism have yielded contradicting results. The aim of the current review was to explore studies that have specifically focused on the lexical semantic abilities of children with ASD and try to find an explanation for these contradictions. In the 32 studies reviewed, no single factor was found to affect lexical semantic skills, although children with broader linguistic impairment generally, but not universally, also showed impaired lexical semantic skills. The need for future studies with young ASD participants, with differing intellectual functioning, longitudinal studies, and studies assessing a wide range of language domains are discussed.

scholarly journals Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

2017 ◽  
Vol 62 (2) ◽  
pp. 715-720 ◽  
Author(s):  
K. Regulski
Keyword(s):  
Knowledge Base ◽  
Latent Semantic Indexing ◽  
Semantic Knowledge ◽  
Technological Knowledge ◽  
Semantic Integration ◽  
Semantic Indexing ◽  
Text Documents ◽  
Semantic Techniques ◽  
Semantic Knowledge Base

AbstractThe process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.

scholarly journals Semantic Knowledge Base in Support of Activity Recognition in Smart Home Environments

2018 ◽  
Vol 7 (4.27) ◽  
pp. 67
Author(s):  
Abdul Syafiq Abdull Sukor ◽  
Ammar Zakaria ◽  
Norasmadi Abdul Rahim ◽  
Rossi Setchi
Keyword(s):  
Knowledge Base ◽  
Activity Recognition ◽  
Smart Home ◽  
Semantic Knowledge ◽  
Experimental Results ◽  
Semantic Knowledge Base ◽  
Main Components ◽  
Use Of Knowledge ◽  
Smart Home Environments ◽  
Home Systems

Activity recognition plays a major role in smart home technologies in providing services to users. One of the approaches to identify activity is through the use of knowledge-driven reasoning. This paper presents a framework of semantic activity recognition, which is used to support smart home systems to identify users’ activities based on the existing context. The framework consists of two main components: a semantic knowledge base and an activity recognition module. The knowledge base is represented using ontology and it is used to provide a semantic understanding of the environment in order to classify users’ patterns of activities. Experimental results show that the proposed approach can support the classification process and accurately infer users’ activities with the accuracy of 90.9%.  

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