Utilización de técnicas de corpus en la representación del conocimiento médico

Abstract

Advances in corpus linguistics are of vital importance in terminology. The information obtained from corpora can be used to complement data already codified in dictionaries and termbases. In this article, we describe a framework of linguistic analysis that facilitates the extraction of conceptual information from corpora, and thus contributes to the study and analysis of terminological contexts. We are presently using this methodology in a research project called Oncoterm. One of the objectives of this project is to elaborate a bilingual terminological database, whose conceptual structure is an extension of an existing knowledge resource, the Mikrokosmos Ontology. In our termbase, medical concepts are organized in categories represented by templates, which are systematically applied to all category members. The application of the template to more specific concepts generates values that show the inheritance of knowledge structures within a specialized domain. The definitional information within each term entry is thus totally coherent with the information regarding other terms within the same conceptual category. This is conducive to the specification of a language of terminographic definition, which is concise, consistent and applicable not only to the domain of oncology, but also extensive to other medical domains and other languages.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 22 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.