Name
Abstract | ||
|---|---|---|
Uninhibited access to the unstructured information distributed across the web and in scientific literature databases continues to be beyond the reach of scientists and health professionals. To address this challenge we have developed a literature driven, ontology-centric navigation infrastructure consisting of a content acquisition engine, a domain-specific ontology (in OWL-DL) and an ontology instantiation pipeline delivering sentences derived by domain-specific text mining. A visual query tool for reasoning over A-box instances in the populated ontology is presented and used to build conceptual queries that can be issued to the knowledgebase. We have deployed this generic infrastructure to facilitate data integration and knowledge sharing in the domain of dengue, which is one of the most prevalent viral diseases that continue to infect millions of people in the tropical and subtropical regions annually. Using our unique methodology we illustrate simplified search and discovery on dengue information derived from distributed resources and aggregated according to dengue ontology. Furthermore we apply data mining to the instantiated ontology to elucidate trends in the mentions of dengue serotypes in scientific abstracts since 1974. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.jbi.2008.04.004 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
populated ontology,domain-specific text mining,web ontology language (owl),generic infrastructure,visual query,dengue literature,dengue information,ontology,ontology instantiation pipeline,ontology-centric navigation infrastructure,instantiated ontology,ontology-centric integration,data integration,dengue serotypes,description logic reasoning,dengue,text mining,domain-specific ontology,knowlegator,data mining,data integrity,description logic,web ontology language | Ontology (information science),Data mining,Ontology,Ontology-based data integration,World Wide Web,Process ontology,Open Biomedical Ontologies,Computer science,OWL-S,Suggested Upper Merged Ontology,Upper ontology | Journal |
Volume | Issue | ISSN |
41 | 5 | 1532-0480 |
Citations | PageRank | References |
11 | 0.82 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Menaka Rajapakse | 1 | 82 | 6.45 |
| K Rajaraman | 2 | 380 | 31.94 |
| Wee Tiong Ang | 3 | 82 | 6.43 |
| Anitha Veeramani | 4 | 71 | 5.69 |
| Mark J Schreiber | 5 | 11 | 0.82 |
| christopher j o baker | 6 | 329 | 30.96 |