Name
Title | ||
|---|---|---|
Integration of Disease Entries Across OMIM, Orphanet, and a Proprietary Knowledge Base. |
Abstract | ||
|---|---|---|
Integration of disease databases benefits physicians searching for disease information. However, current algorithmic matching is not sufficiently powerful to automate the integration process. This paper reports our attempt to manually integrate disease entries spread across public disease databases, Online Mendelian Inheritance in Man and Orphanet, with a proprietary disease knowledge base. During the process, we identified that relations between synonyms require special handling, and a set of resolution rules are proposed. Situations encountered throughout the integration suggested that variations in the cross-references would facilitate future integration of distinct disease databases. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19066-2_12 | IEA/AIE |
Keywords | Field | DocType |
Disease knowledge base, Semantic integration, Ontology alignment | Ontology alignment,Semantic integration,Ontology-based data integration,Disease,Information retrieval,Computer science,Knowledge management,Knowledge base,OMIM : Online Mendelian Inheritance in Man | Conference |
Volume | ISSN | Citations |
9101 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maori Ito | 1 | 1 | 0.40 |
| Shin-ichi Nakagawa | 2 | 1 | 0.40 |
| Kenji Mizuguchi | 3 | 6 | 0.86 |
| Takashi Okumura | 4 | 43 | 14.78 |