Abstract
With the emerging importance of biomedical ontology re-search impacting Big Biomedical Data, there will be a need for knowl-edgebase evaluation that is both systematic and also engage a community of experts. This paper will introduce a prototype in production to evalu-ate the quality of formal ontologies through an online web tool, using the semiotic-inuenced metrics to grade ontology quality. Here we introduce the Semiotic-based Evaluation Management System (SEMS), which is designed for (1) automatic generation of various quality scores of an up-loaded ontology and recommendations for improvement for the ontology, and (2) a GUI for experts to conduct manual review and provide feed-back. In this paper, we will discuss the current status of the tool as well as the course for its continued development.
Original language | English (US) |
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Journal | CEUR Workshop Proceedings |
Volume | 1428 |
State | Published - 2015 |
Externally published | Yes |
Event | International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs, BDM2I 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States Duration: Oct 11 2015 → … |
Keywords
- Big data
- Knowledge engineering
- Knowledge management
- Ontology
- Ontology evaluation
- Semiotics
ASJC Scopus subject areas
- General Computer Science