Teilāns, Artis

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Preferred name
Teilāns, Artis
Official Name
Teilans, Artis
Alternative Name
Teilands, Artis
Teilans, A
Artis Teilans
Main Affiliation
Web Site
Email
artis.teilans@rta.lv
ORCID
Scopus Author ID
24723234500
Researcher ID
AAJ-1139-2020

Research Output

Now showing 1 - 3 of 3
  • Publication
    A Meta-Model Based Approach to UML Modelling
    (2008)
    Teilāns, Artis 
    ;
    Arnis Kleins
    ;
    Uldis Sukovskis
    ;
    Yury Merkuryev
    ;
    Ivars Meirans
    This paper is devoted to a meta-model based approach to UML systems modelling. The approach allows creating a system model by operating with artefacts from the problem domain, followed by generation of a UML model. The discussed approach is illustrated by generating UML models, using Use Case and Activity diagrams of the UML language.
    Scopus© Citations 5
  • Publication
    Domain specific language for securities settlement systems
    (2012)
    Ojars Krasts
    ;
    Teilāns, Artis 
    ;
    Arnis Kleins
    Actual problems during design, implementation and maintenance of securities settlement systems software are achieving complementarity of several different, connected, asynchronously communicating settlement systems and verification of this complementarity. The aim of this paper is to create domain specific language for modeling of settlement systems and their interactions. Then use models to calculate settlement systems behavior. Specific of settlement systems requires that they perform accordingly to business rules in any situation. This makes use of model checking a very desirable step in development process of settlement systems. Defining a domain specific language and creating editor supporting it is a first step to enable use of model checking techniques. Created models also can be used as input for other analysis methods and tools, for example, basis path testing, simulation and as base for deriving test cases
    Scopus© Citations 2
  • Publication
    Methodology for Similarity Assessment of Relational Data Models and Semantic Ontologies
    (2017-01-17)
    Zarembo, Imants 
    ;
    Teilāns, Artis 
    ;
    Barghorn, Knut
    ;
    Merkuryev, Yuri
    ;
    Berina, Gundega
    In the upcoming age of semantic web there is a large number of relational databases being widely used. When time comes for a legacy relational database to migrate to semantic web or to be integrated with it, an important issue of determining similarity (compatibility) between two data models expressed in different ways arises. The goal of this paper is to describe the methodology for similarity assessment of relational database models and semantic data models and to present an ontology matching tool research prototype. The methodology consists of a set of steps, including transformation rules for data models, whose compatibility must be assessed, to the same ontology representation and applying ontology matching techniques. The methodology enables domain experts to perform a matching task semi-automatically between a relational data model and data model expressed as an ontology. The results of the semi-automatic matching are manually verified by the domain experts. The methodology was approbated using a use case from land administration domain. In the use case compatibility of data model provided by an international standard and a relational database had to be assessed.
    Scopus© Citations 1