An integrated statement is made concerning the semantic status of nodes in a propositional semantic network. Context is the interrelated condition in which something exists or occurs. Naturally, context-aware computing environments are based on the knowledge of the context. This is because users have the expectation that they can access whichever information and service they want, whenever they want, and wherever they are. In order to ensure that these expectations are satisfied the need of a context is clear. Query languages, such as SQL, and query user interfaces were developed for ‘Closed World’ systems, such as accounting systems, where information is comprehensively described within the limits of a context and a schema well-known to the users. In such systems, querying by associations of values in different database fields yields very high recall and precision. Querying individually hundreds of different kinds of properties leaves a huge recall gap to text retrieval, whereas a global restriction to “core metadata” deprives the systems of reasoning capability. Here I proposed a methodology which will help us in constructing a framework for querying a semantic network. The Two step methodology is proposed here. Using schema of the core ontology ISO21127 and specializations of it.

"/> Metadata, Information Retrieval, Semantic Network Searching, Ontology.

"/> An integrated statement is made concerning the semantic status of nodes in a propositional semantic network. Context is the interrelated condition in which something exists or occurs. Naturally, context-aware computing environments are based on the knowledge of the context. This is because users have the expectation that they can access whichever information and service they want, whenever they want, and wherever they are. In order to ensure that these expectations are satisfied the need of a context is clear. Query languages, such as SQL, and query user interfaces were developed for ‘Closed World’ systems, such as accounting systems, where information is comprehensively described within the limits of a context and a schema well-known to the users. In such systems, querying by associations of values in different database fields yields very high recall and precision. Querying individually hundreds of different kinds of properties leaves a huge recall gap to text retrieval, whereas a global restriction to “core metadata” deprives the systems of reasoning capability. Here I proposed a methodology which will help us in constructing a framework for querying a semantic network. The Two step methodology is proposed here. Using schema of the core ontology ISO21127 and specializations of it.

"/> An integrated statement is made concerning the semantic status of nodes in a propositional semantic network. Context is the interrelated condition in which something exists or occurs. Naturally, context-aware computing environments are based on the knowledge of the context. This is because users have the expectation that they can access whichever information and service they want, whenever they want, and wherever they are. In order to ensure that these expectations are satisfied the need of a context is clear. Query languages, such as SQL, and query user interfaces were developed for ‘Closed World’ systems, such as accounting systems, where information is comprehensively described within the limits of a context and a schema well-known to the users. In such systems, querying by associations of values in different database fields yields very high recall and precision. Querying individually hundreds of different kinds of properties leaves a huge recall gap to text retrieval, whereas a global restriction to “core metadata” deprives the systems of reasoning capability. Here I proposed a methodology which will help us in constructing a framework for querying a semantic network. The Two step methodology is proposed here. Using schema of the core ontology ISO21127 and specializations of it.

"/> An integrated statement is made concerning the semantic status of nodes in a propositional semantic network. Context is the interrelated condition in which something exists or occurs. Naturally, context-aware computing environments are based on the knowledge of the context. This is because users have the expectation that they can access whichever information and service they want, whenever they want, and wherever they are. In order to ensure that these expectations are satisfied the need of a context is clear. Query languages, such as SQL, and query user interfaces were developed for ‘Closed World’ systems, such as accounting systems, where information is comprehensively described within the limits of a context and a schema well-known to the users. In such systems, querying by associations of values in different database fields yields very high recall and precision. Querying individually hundreds of different kinds of properties leaves a huge recall gap to text retrieval, whereas a global restriction to “core metadata” deprives the systems of reasoning capability. Here I proposed a methodology which will help us in constructing a framework for querying a semantic network. The Two step methodology is proposed here. Using schema of the core ontology ISO21127 and specializations of it.

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Call for Paper - Upcoming Issues

Methodology for Constructing a New Framework for Querying a Semantic Network

International Journal of Mechanical Engineering
© 2014 by SSRG - IJME Journal
Volume 1 Issue 3
Year of Publication : 2014
Authors : SHIKHA TRIPATHI, MR. MANOJ YADAV
10.14445/23488360/IJME-V1I3P105
pdf
How to Cite?

SHIKHA TRIPATHI, MR. MANOJ YADAV, "Methodology for Constructing a New Framework for Querying a Semantic Network," SSRG International Journal of Mechanical Engineering, vol. 1,  no. 3, pp. 16-23, 2014. Crossref, https://doi.org/10.14445/23488360/IJME-V1I3P105

Abstract:

An integrated statement is made concerning the semantic status of nodes in a propositional semantic network. Context is the interrelated condition in which something exists or occurs. Naturally, context-aware computing environments are based on the knowledge of the context. This is because users have the expectation that they can access whichever information and service they want, whenever they want, and wherever they are. In order to ensure that these expectations are satisfied the need of a context is clear. Query languages, such as SQL, and query user interfaces were developed for ‘Closed World’ systems, such as accounting systems, where information is comprehensively described within the limits of a context and a schema well-known to the users. In such systems, querying by associations of values in different database fields yields very high recall and precision. Querying individually hundreds of different kinds of properties leaves a huge recall gap to text retrieval, whereas a global restriction to “core metadata” deprives the systems of reasoning capability. Here I proposed a methodology which will help us in constructing a framework for querying a semantic network. The Two step methodology is proposed here. Using schema of the core ontology ISO21127 and specializations of it.

Keywords:

Metadata, Information Retrieval, Semantic Network Searching, Ontology.

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