Semantic Ontology Mapping
Systematic review methods improve the transparency and accuracy of chemical assessments, whilst accentuate the challenge of retrieving all potentially relevant information. Information retrieval is a lengthy process and complicated not only by the manner in which the content of a document is represented (e.g. a small number of key words plus the words in the title and abstracts), but also that only the information known by a researchers and coded as conceptually related in a database is retrieved. In this presentation these challenges are broken down into the semantic and conceptual factors. These factors are described and solutions are presented in the form of controlled vocabularies and ontologies semantically mapped in a knowledge organization system. A walk-through of specific application of the controlled vocabulary and semantic ontology concept mapping in a chemical assessment using systematic methods is provided highlighting the tasks of information retrieval, the standardized data extraction templates, expert data curation, and data output/management. This work supports HERA, but also cross-cuts CSS and is a collaborative effort with EDSP and NTP.