| dc.contributor.author | Normantas, Kęstutis | |
| dc.contributor.author | Vasilecas, Olegas | |
| dc.date.accessioned | 2023-09-18T20:02:53Z | |
| dc.date.available | 2023-09-18T20:02:53Z | |
| dc.date.issued | 2014 | |
| dc.identifier.issn | 0165-5515 | |
| dc.identifier.other | (BIS)VGT02-000028763 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/146172 | |
| dc.description.abstract | The extraction of business vocabulary is one of the main tasks in discovering business knowledge implemented in a software system. In this paper we present a model-driven approach to the extraction of business vocabularies from databases of existing software systems. We describe a transformation framework for obtaining the Knowledge Discovery Metamodel based representation of data structure and define an algorithm for the extraction of candidates for business vocabulary entries (i.e. Term and Fact Units) from the representation. The extracted candidates may be further refined by business analysts and used for the identification of business scenarios and rules in software systems. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 413-425 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Academic Search Premier | |
| dc.relation.isreferencedby | Compendex | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.source.uri | http://jis.sagepub.com/content/40/4/413.full | |
| dc.subject | IK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems | |
| dc.title | Extracting term units and fact units from existing databases using the Knowledge Discovery Metamodel | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.references | 28 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.contributor.department | Taikomosios informatikos institutas / Institute of Applied Computer Science | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | Business vocabulary | |
| dc.subject.en | Business rules | |
| dc.subject.en | Knowledge extraction | |
| dc.subject.en | Knowledge Discovery Metamodel | |
| dcterms.sourcetitle | Journal of information science | |
| dc.description.issue | no. 4 | |
| dc.description.volume | Vol. 40 | |
| dc.publisher.name | SAGE | |
| dc.publisher.city | London | |
| dc.identifier.doi | 10.1177/0165551514526336 | |
| dc.identifier.elaba | 4085439 | |
