Name
Title | ||
|---|---|---|
Ontology-Based Information Extraction and Reasoning for Business Intelligence Applications |
Abstract | ||
|---|---|---|
In this demo we present the actual state of development of ontology-based information extraction in real world applications, as they are defined in the context of the MUSING European R&D project dealing with Business Intelligence applications. We present in some details the actual state of ontology development, including a time and domain ontologies, for guiding information extraction onto an ontology population task. We then show how the information is stored in the MUSING knowledge repository and how reasoning can act on this repository for generating new knowledge and also applications specific statistical models for supporting decision procedures. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85845-4_48 | KI |
Keywords | Field | DocType |
ontology-based information extraction,domain ontology,ontology development,musing european r,musing knowledge repository,guiding information extraction,new knowledge,business intelligence applications,actual state,applications specific statistical model,ontology population task,domain knowledge,linguistics,business intelligence,statistical model,information extraction | Data science,Ontology (information science),Ontology-based data integration,Process ontology,Open Biomedical Ontologies,Ontology chart,Computer science,Ontology Inference Layer,Suggested Upper Merged Ontology,Upper ontology | Conference |
Volume | ISSN | Citations |
5243 | 0302-9743 | 1 |
PageRank | References | Authors |
0.44 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thierry Declerck | 1 | 309 | 65.24 |
| Christian Federmann | 2 | 262 | 27.49 |
| Bernd Kiefer | 3 | 194 | 25.67 |
| H. U. Krieger | 4 | 131 | 14.70 |