Title
Quenchml: A semantics-preserving markup language for knowledge representation in quenching
Abstract
Knowledge representation KR is an important area in artificial intelligence AI and is often related to specific domains. The representation of knowledge in domain-specific contexts makes it desirable to capture semantics as domain experts would. This motivates the development of semantics-preserving standards for KR within the given domain. In addition to the storage and analysis of information using such standards, the effect of globalization today necessitates the publishing of information on the Web. Thus, it is advisable to use formats that make the information easily publishable and accessible while developing KR standards. In this article, we propose such a standard called Quenching Markup Language QuenchML. This follows the syntax of the eXtensible Markup Language and captures the semantics of the quenching domain within the heat treating of materials. We describe the development of QuenchML, a multidisciplinary effort spanning the realms of AI, database management, and materials science, considering various aspects such as ontology, data modeling, and domain-specific constraints. We also explain the usefulness of QuenchML in semantics-preserving information retrieval and in text mining guided by domain knowledge. Furthermore, we outline the significance of this work in software tools within the field of AI.
Year
DOI
Venue
2013
10.1017/S0890060412000352
AI EDAM
Keywords
Field
DocType
quenching domain,kr standard,specific domain,semantics-preserving information retrieval,domain-specific context,semantics-preserving markup language,knowledge representation kr,domain-specific constraint,domain knowledge,domain expert,markup language quenchml,text mining,information retrieval,domain expertise,semantic web
Ontology,Knowledge representation and reasoning,XML,Information retrieval,Domain knowledge,Subject-matter expert,Computer science,Semantic Web,Semantics,Markup language
Journal
Volume
Issue
ISSN
27
1
0890-0604
Citations 
PageRank 
References 
1
0.34
5
Authors
3
Name
Order
Citations
PageRank
Aparna S. Varde118828.71
Mohammed Maniruzzaman2273.42
Richard D. Sisson341.08