Sentence examples for terminology resources from inspiring English sources

To reach truly standardized terminology resources, it is necessary to include terminological experts into working groups and to reach an overall gain in efficiency for the task of identifying concept-term-relations of heterogeneous domain-specific sources and glossaries from standardization bodies.

Abstract: The present paper approaches problems of exploring the availability of terminology resources for landscape architecture, strategies of improving access to these resources and possibilities of evaluating them.

Therefore, we will outline some important design criteria and compare some relevant methodologies, with respect to five factors; on the basis of that study, we will propose our own methodology, designed to build ontology-based multilingual terminology resources.

Kolarik and her co-workers [12, 13] analyzed chemical terminology resources and generated an annotated text corpus for evaluation of dictionaries.

Therefore, we explored approaches involving: a) NLP, and b) terminology resources (UMLS, BioPortal, and CPT-specific).

Terminology resources devised for multiple purposes inherently diverge in content and structure.

Generally speaking, terminology management refers to a range of activities involved in designing, collecting, documenting and processing data to create a terminology resource.

To reduce the human effort and to promote semantic transferability, we propose an automated method for deriving a probabilistic grammar based on a training corpus consisting of concept strings and semantic classes from the Unified Medical Language System (UMLS), a comprehensive terminology resource widely used by the community.

Besides, the DICOM Standards Committee made a choice for SNOMED as its primary source of terminology and created its own terminology resource (named DICOM Controlled Terminology) when the needed terms cannot be found from existing resources.

The only other public terminology resource containing CPT that we found was the Observational Medical Outcomes Partnership's Common Data Model (OMOP) vocabulary version 4.4, but again, no hierarchy information existed.

For example, the NLM could lead an effort within the federal government to develop freely accessible knowledge repositories for personalized medicine in a manner similar to how it has developed the UMLS terminology resource [ 65].