Organization of Information System for Semantic Search Based on Associative Vector Space

2020 ◽  
pp. 70-78
Author(s):  
Valery Sachkov ◽  
Dmitry Zhukov ◽  
Yury Korablin ◽  
Vyacheslav Raev ◽  
Dmitry Akimov
Keyword(s):  
Information System ◽  
Vector Space ◽  
Semantic Search

Ontology-Based Semantic Retrieval for Management Information System

2013 ◽  
Vol 278-280 ◽  
pp. 2069-2072
Author(s):  
Jin Xing Shen
Keyword(s):  
Information System ◽  
Information Retrieval ◽  
Management Information System ◽  
Traditional Method ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
Management Information ◽  
Research Information

In order to achieve semantic retrieval for scientific research information in WWW, this paper applies an ontology-based framework to information retrieval system for management information system. After analyze the limitations of traditional method, bring a semantic search forward, and mainly introduce the thought of the semantic retrieval as well as the way to constitute ontology entity and the language that describes it. Moreover, semantic retrieval system based on ontology is also given. The application to retrieve project information shows that the framework can overcome the localization of other ontology’s models, and this research facilitates the semantic retrieval of management information through semantic retrieval concepts on the Semantic Web.

SEMANTIC SEARCH OF SERVICES

2013 ◽  
Vol 07 (03) ◽  
pp. 257-290 ◽  
Author(s):  
KE HAO ◽  
PHILLIP C-Y SHEU ◽  
HIROSHI YAMAGUCHI
Keyword(s):  
Natural Language Processing ◽  
Web Services ◽  
Vector Space ◽  
Language Processing ◽  
Large Scale ◽  
Semantic Annotation ◽  
Vector Space Model ◽  
Semantic Search ◽  
Lexical Database ◽  
Space Model

This paper addresses semantic search of Web services using natural language processing. First we survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a service search framework based on the vector space model to combine the traditional frequency weighted term-document matrix, the syntactical information extracted from a lexical database and a dependency grammar parser. In particular, instead of using terms as the rows in a term-document matrix, we propose using synsets from WordNet to distinguish different meanings of a word under different contexts as well as clustering different words with similar meanings. Also based on the characteristics of Web services descriptions, we propose an approach to identifying semantically important terms to adjust weightings. Our experiments show that our approach achieves its goal well.

scholarly journals Semantics Ontologies and Information Systems in Education: Concerns and Proposals

10.28945/2975 ◽  
2006 ◽  
Author(s):  
Antonio Cartelli
Keyword(s):  
Information System ◽  
Communities Of Practice ◽  
General Problem ◽  
Knowledge Construction ◽  
Semantic Search ◽  
Scientific Paradigms ◽  
Teaching Learning ◽  
Special Case ◽  
Semantic Search Engine ◽  
The Web

The author describes his experience with students interacting with some websites he made for didactics and research and how this led him to an appreciation for the need for better searching tools and strategies for education. The students’ difficulties emerging from the above observations were a special case of the more general problem evidenced from people while searching information on the web. Semantic web is then discussed as a way to help people overcome their difficulties in using the web to gain knowledge. The paper describes some models for knowledge construction and analyzes them in terms of their suitability as instruments for the introduction of semantics on the web. The paper then provides evidence regarding some limits for the systematic use of semantic search engine and ontology domain systems in everyday teaching and knowledge construction. Finally, the paper reports and explains a hypothesis of an information system for building communities of practice and letting them work on the construction of domain ontology. The paper concludes that this construct is well adapted to the model for knowledge construction firstly hypothesized, and can give good results in teaching-learning planning and carrying out and in helping scientists and scholars to analyze scientific paradigms and to find new trends for research.

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