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Bringing intelligent inferences through a semantic structure markup system with the support of chemical ontologies | IEEE Conference Publication | IEEE Xplore

Bringing intelligent inferences through a semantic structure markup system with the support of chemical ontologies


Abstract:

Semantic inferences about the structural features are achieved through a semantic structure markup system with the support of ontological relationships. The significance ...Show More

Abstract:

Semantic inferences about the structural features are achieved through a semantic structure markup system with the support of ontological relationships. The significance of the markup system is the description of valence electrons of every atom in the structure. The semantics of chemical structure is captured in different levels with appropriate XML elements. The advantage of the markup system is useful in supporting chemical editor to draw meaningful structures from the structural fragments. Also the methodology enables the XML description to derive intelligent inferences about the chemical structure. In this study, the correct type of bridged bicyclic system is arrived for proper structure construction. Valid information about the combination of functional groups in chemical structure described in XML is also arrived at through ontological assertions.
Date of Conference: 24-24 October 2016
Date Added to IEEE Xplore: 30 March 2017
ISBN Information:
Conference Location: Coimbatore, India
References is not available for this document.

I. Introduction

Chemical ontology is a media to describe the domain knowledge with common and community acceptable vocabulary. In the ontology the meaning of the terms and the relations between them are defined with different levels of formality [1]. The ontologies aim at capturing domain knowledge in a generic way and provide a commonly agreed upon understanding of the domain which may be reused and shared across applications and groups. In recent years, the importance of building chemical ontology has been felt in the context of evolving Web-based chemistry [2]. The main purpose of building ontologies is to generate intelligent inferences through the ontological definitions. In the domain of chemistry the use of ontologies gains scope in the context of developing intelligent information systems. Reports reveal that only a few domain-specific chemical ontologies are developed so far [3]–[5]. This may be attributed to the fact that the description of chemical knowledge is difficult because of the fuzziness involved in it, and building a chemical ontology requires considerable effort.

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References

References is not available for this document.