O
Olegas Vasilecas
Researcher at Vilnius Gediminas Technical University
Publications - 158
Citations - 1023
Olegas Vasilecas is an academic researcher from Vilnius Gediminas Technical University. The author has contributed to research in topics: Business rule & Business process modeling. The author has an hindex of 15, co-authored 155 publications receiving 963 citations. Previous affiliations of Olegas Vasilecas include Klaipėda University & University of Ljubljana.
Papers
More filters
Posted Content
General Context-Aware Data Matching and Merging Framework
TL;DR: A general framework for data matching and merging using collective entity resolution and redundancy elimination using three dimensions of context types is evaluated and additional attribute, relationship, semantic and trust metrics are introduced, which allow complete framework management.
Journal ArticleDOI
Identifying Key Characteristics of Business Rules That Affect Software Project Success
TL;DR: In this paper , the authors study the impact of business rules (BR) on software implementation and find that BR that are specifically prepared for a particular project and easy to understand have a statistically significant positive effect on software project success.
Book ChapterDOI
A Framework to Analyse and Evaluate Information Systems Specification Languages
TL;DR: The paper argues that the analysis and evaluation of any IS specification language should be performed on the basis of linguistic system and quality model which provides a set of attributes characterising the properties of the language.
Journal ArticleDOI
Formal concept analysis for business information systems
TL;DR: It is shown that FCA can be useful for understanding conceptual model topology and it can be used to improve the structure of the conceptual model.
Book ChapterDOI
Ontology and SOA Based Data Mining to Business Process Optimization
TL;DR: This paper proposes an ontology and Service Oriented Architecture (SOA) based approach for data mining process implementation for business processes optimization and shows that companies having data warehouse had a significant advantage, e.g. it allows to eliminate not necessary operations and optimise business process.