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Updated: May 8, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

OntoQuery: easy-to-use web-based OWL querying.

Ilinca Tudose¹, Janna Hastings, Venkatesh Muthukrishnan

¹Cheminformatics and Metabolism, European Bioinformatics Institute, Cambridge, UK, Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland and Evolutionary Bioinformatics, Swiss Institute of Bioinformatics, Lausanne, Romandy, Switzerland.

Bioinformatics (Oxford, England)

|September 7, 2013

Summary

This summary is machine-generated.

OntoQuery is a new web-based utility that enables Description Logics (DL) querying for bio-ontologies. This addresses the lack of online DL-based querying for resources like the Gene Ontology and ChEBI.

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

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Published on: October 24, 2019

Area of Science:

Bioinformatics
Ontology Engineering

Background:

Web Ontology Language (OWL) is crucial for complex domain ontologies like the Gene Ontology.
Protégé-OWL offers query facilities using Manchester OWL syntax.
Existing tools lack web-based Description Logics (DL) querying for bio-ontologies.

Purpose of the Study:

Introduce OntoQuery, a web-based utility for DL-based querying.
Enable users to query bio-ontologies through their online websites.
Bridge the gap in online DL-querying functionality for bio-ontologies.

Main Methods:

Developed a web-based query utility named OntoQuery.
Ensured compatibility with all OWL-based ontologies.
Provided an installation for ChEBI (Chemical Entities of Biological Interest).

Main Results:

OntoQuery offers a web-based solution for DL-based querying.
Facilitates querying of bio-ontologies like ChEBI and Gene Ontology.
Enhances accessibility of bio-ontology data.

Conclusions:

OntoQuery addresses the need for web-based DL querying in bio-ontologies.
It provides a user-friendly interface for querying complex biological data.
The tool is available for download and compatible with OWL ontologies.