Name
Abstract | ||
|---|---|---|
The scientific aim of the project presented in this paper is to provide an approach to representing, organizing, and accessing conceptual content of biomedical texts using a formal ontology. The ontology is based on UMLS resources supplemented with domain ontologies developed in the project. The approach introduces the notion of 'generative ontologies', i.e., ontologies providing increasingly specialized concepts reflecting the phrase structure of natural language. Furthermore, we propose a novel so-called 'ontological semantics' which maps noun phrases from texts and queries into nodes in the generative ontology. This enables an advanced form of data mining of texts identifying paraphrases and concept relations and measuring distances between key concepts in texts. Thus, the project gains its identity in its attempt to provide a formal underpinning of conceptual similarity or relatedness of meaning. |
Year | Venue | Keywords |
|---|---|---|
2009 | KEOD 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT | Domain modelling,Ontology engineering,Natural language processing,Ontological,Content-oriented text search |
Field | DocType | Citations |
Ontology (information science),Ontology alignment,Ontology-based data integration,Process ontology,Information retrieval,Computer science,Open Biomedical Ontologies,Formal ontology,Natural language processing,Artificial intelligence,Upper ontology,Ontology components | Conference | 3 |
PageRank | References | Authors |
0.47 | 4 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Troels Andreasen | 1 | 505 | 43.70 |
| Henrik Bulskov | 2 | 152 | 15.95 |
| Tine Lassen | 3 | 21 | 4.04 |
| Sine Zambach | 4 | 17 | 2.87 |
| Per Anker Jensen | 5 | 57 | 9.33 |
| Bodil Nistrup Madsen | 6 | 13 | 3.25 |
| Hanne Erdman Thomsen | 7 | 61 | 7.30 |
| Jørgen Fischer Nilsson | 8 | 170 | 24.82 |
| Bartlomiej Antoni Szymczak | 9 | 3 | 0.47 |