Name
Title | ||
|---|---|---|
Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain. |
Abstract | ||
|---|---|---|
•First attempt towards using Linked Biomedical Ontologies for automated ontology generation.•Proposed a framework that leverages natural language processing, semantic enrichment, and linked biomedical ontologies to build a formal ontology.•Our evaluation shows competitive results in most of the tasks of ontology generation compared to those obtained by existing frameworks.•Our proposed framework shows that LBO is a promising source of knowledge for the construction of well-defined ontologies. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2018.08.010 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Semantic web,Ontology generation,Linked biomedical ontologies | Ontology (information science),Computer vision,Ontology,Data modeling,Information retrieval,Open Biomedical Ontologies,Computer science,Unstructured data,Formal ontology,Artificial intelligence,RDF,Relationship extraction | Journal |
Volume | ISSN | Citations |
165 | 0169-2607 | 4 |
PageRank | References | Authors |
0.43 | 25 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mazen Alobaidi | 1 | 20 | 3.96 |
| Khalid Mahmood Malik | 2 | 26 | 9.32 |
| Maqbool Hussain | 3 | 197 | 20.21 |