Integrating the Human Phenotype Ontology into HeTOP Terminology-Ontology Server

Multi-terminology cross-lingual modeling in the Health Terminology/Ontology Portal

The Health Terminology/Ontology Portal (HeTOP) is a repository dedicated to health professionals and students. It provides access to 32 health terminologies (including MeSH, ICD-10, etc.) available in 23 different languages (English, French, German, Russian, etc.). Several methods and technologies have been developed to create this multi-terminology server, dedicated to both users and computers...

Cross-lingual Access to Biomedical Terminologies and Ontologies

The Health Terminology/Ontology Portal (HeTOP) is a repository dedicated to health professionals and students. It provides access to 45 health knowledge bases (including terminologies and ontologies) available in 23 different languages. Several methods and technologies have been developed to create this portal, dedicated to both human and computers. HeTOP is a valuable tool for a wide range of ...

Multilingual management of conceptual and lexical resources. A comparison of Bioportal and HeTOP (Health Terminology/Ontology Portal)

Designing an Ontology for Knowledge Discovery in Iran’s Vaccine

Ontology is a requirement engineering product and the key to knowledge discovery. It includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. This is a qualitative content analysis research. This study has made use of ontology for the first time to discover the knowledge of vaccine in Ir...

Transparent access to multiple bioinformatics

This paper describes the Transparent Access to Multiple Bioinformatics Information Sources project, known as TAMBIS, in which a domain ontology for molecular biology and bioinformatics is used in a retrieval-based information integration system for biologists. The ontology, represented using a description logic and managed by a terminology server, is used both to drive a visual query interface ...