Name
Title | ||
|---|---|---|
Integrating Information Extraction, Ontology Learning and Semantic Browsing into Organizational Knowledge Processes |
Abstract | ||
|---|---|---|
Ontology-based approaches to Knowledge Management promise better access to relevant know- ledge by providing a domain-specific vocabulary that is used for describing the contents of knowledge as well as for retrieving that knowledge. Despite the potential benefits, ontology-based approaches require a considerable amount of commitment and expertise in tasks like creating and maintaining ontologies, annot- ating documents and integrating information. We are studying and implementing a methodology for auto- mating such tasks, which makes use of Information Extraction and Integration, Ontology Learning and Se- mantic Browsing to effectively acquire, share and reuse knowledge in an organizational setting. Applica- tions of the proposed methodology are under development for knowledge management in the legal domain and in the field of biotechnology. |
Year | Venue | Field |
|---|---|---|
2004 | LSTKM@EKAW | Ontology (information science),Ontology-based data integration,Information retrieval,Computer science,Information extraction,Knowledge extraction,Natural language processing,Artificial intelligence,Upper ontology,Semantic browsing,Ontology learning |
DocType | Citations | PageRank |
Conference | 4 | 0.45 |
References | Authors | |
18 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Iri | 1 | 4 | 0.45 |
| Fabio Ciravegna | 2 | 1635 | 140.18 |
| Philipp Cimiano | 3 | 3338 | 217.41 |
| Alberto Lavelli | 4 | 615 | 55.37 |
| Enrico Motta | 5 | 4216 | 391.29 |
| Luca Gilardoni | 6 | 64 | 11.81 |
| Eddie Moench | 7 | 26 | 2.41 |