Modular Extensions to the ChEBI Ontology
نویسندگان
چکیده
ChEBI is an ontology of chemical entities of biological interest. It includes a structure-based and a role-based classification of chemical entities including molecules, ions and salts. This poster showcases recent developments and forthcoming enhancements to the ontology, focusing on modular extensions of the content. These extensions are being developed in support of error detection and consistency checking and to improve the capability for automated reasoning about the biological context of chemicals.
منابع مشابه
Building a drug ontology based on RxNorm and other sources
BACKGROUND We built the Drug Ontology (DrOn) because we required correct and consistent drug information in a format for use in semantic web applications, and no existing resource met this requirement or could be altered to meet it. One of the obstacles we faced when creating DrOn was the difficulty in reusing drug information from existing sources. The primary external source we have used at t...
متن کاملExtensions of Some Fixed Point Theorems for Weak-Contraction Mappings in Partially Ordered Modular Metric Spaces
The purpose of this paper is to establish fixed point results for a single mapping in a partially ordered modular metric space, and to prove a common fixed point theorem for two self-maps satisfying some weak contractive inequalities.
متن کاملThe ChEBI Ontology: An Ontology for Chemistry within a Biological Context
Chemical Entities of Biological Interest (ChEBI) is a freely available database of molecular entities and chemical concepts, which is manually annotated to a high standard of quality and is non-redundant, thus differentiating it from other publicly available chemistry resources. It focuses specifically on those chemical entities which are of interest to the life sciences community, including me...
متن کاملThe ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013
ChEBI (http://www.ebi.ac.uk/chebi) is a database and ontology of chemical entities of biological interest. Over the past few years, ChEBI has continued to grow steadily in content, and has added several new features. In addition to incorporating all user-requested compounds, our annotation efforts have emphasized immunology, natural products and metabolites in many species. All database entries...
متن کاملLASIGE: using Conditional Random Fields and ChEBI ontology
For participating in the SemEval 2013 challenge of recognition and classification of drug names, we adapted our chemical entity recognition approach consisting in Conditional Random Fields for recognizing chemical terms and lexical similarity for entity resolution to the ChEBI ontology. We obtained promising results, with a best F-measure of 0.81 for the partial matching task when using post-pr...
متن کامل