IDOMAL: an ontology for malaria.
BACKGROUND
Ontologies are rapidly becoming a necessity for the design of efficient information technology tools, especially databases, because they permit the organization of stored data using logical rules and defined terms that are understood by both humans and machines. This has as consequence both an enhanced usage and interoperability of databases and related resources. It is hoped that IDOMAL, the ontology of malaria will prove a valuable instrument when implemented in both malaria research and control measures.


METHODS
The OBOEdit2 software was used for the construction of the ontology. IDOMAL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.


RESULTS
The first version of the malaria ontology covers both clinical and epidemiological aspects of the disease, as well as disease and vector biology. IDOMAL is meant to later become the nucleation site for a much larger ontology of vector borne diseases, which will itself be an extension of a large ontology of infectious diseases (IDO). The latter is currently being developed in the frame of a large international collaborative effort.


CONCLUSIONS
IDOMAL, already freely available in its first version, will form part of a suite of ontologies that will be used to drive IT tools and databases specifically constructed to help control malaria and, later, other vector-borne diseases. This suite already consists of the ontology described here as well as the one on insecticide resistance that has been available for some time. Additional components are being developed and introduced into IDOMAL.
Topalis
Pantelis
P
Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, 700 13 Heraklion, Crete, Greece.
Mitraka
Elvira
E
Bujila
Ioana
I
Deligianni
Elena
E
Dialynas
Emmanuel
E
Siden-Kiamos
Inga
I
Troye-Blomberg
Marita
M
Louis
Christos
C
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D004199:Disease Vectors; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007305:Insecticide Resistance; D008288:Malaria / Q000175:diagnosis / Q000453:epidemiology / Q000628:therapy / Q000635:transmission; D012984:Software; D018875:Vocabulary, Controlled