Concept Mapping or Indexing of (Biomedical) Text

Problem: 

Concepts are often used to formalize knowledge. Especially in the medicine a large amount of systems exist that can be used to cover a specific area of knowledge. Examples are the Medical Subject Headings (MeSH), SNOMED CT, or the Unified Medical Language System (UMLS) that can represent and link a large amount of medical terminology systems.

In order to automatically process natural language text such terminology systems are often used to unify particular terms or phrases and to better understand them. This assignment of concepts to text phrases is called "concept mapping" or "concept indexing". A number of tools exist that were developed for this task.

Aim: 
  • Investigation of existing concept mapping and indexing tools for the biomedical area
  • Description and comparison of the tools
Topics: 
medical terminology systems, UMLS, NLP
Scope: 
SE
Scope: 
BA
Assigned as: 
Bachelor thesis/Bakkalaureatsarbeit
Contact: 

Katharina Kaiser, by appointment, kaiser [at] ifs.tuwien.ac.at

Student(s): 

Edita Rados

Area: 
Information Extraction (IE) and Transformation
Status: 
closed
AttachmentSize
Bachelorarbeit_Rados_Edita.pdf915.57 KB