Högskolan i Skövde

his.sePublications
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
DeepTelos for ConceptBase: A contribution to the MULTI process challenge
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem (IS), Information Systems)ORCID iD: 0000-0002-9421-8566
2019 (English)In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) / [ed] Loli Burgueño, Alexander Pretschner, Sebastian Voss, Michel Chaudron, Jörg Kienzle, Markus Völter, Sébastien Gérard, Mansooreh Zahedi, Erwan Bousse, Arend Rensink, Fiona Polack, Gregor Engels, Gerti Kappel, IEEE, 2019, p. 66-77Conference paper, Published paper (Refereed)
Abstract [en]

DeepTelos is a straightforward extension of the Telosmodeling language to allow some form of multi-level modeling. A variant of Telos has been implemented in the ConceptBase system on top of a Datalog engine. Telos defines the concepts of instantiation, specialization and attribution/relations by means of axioms. In addition, the user can define new constructs by deductive rules, integrity constraints, and so-called query classes. In this paper, we tackle the process challenge formulated for the MULTI 2019 workshop to see to which extent DeepTelos is ableto represent the requirements of this challenge.
Place, publisher, year, edition, pages
IEEE, 2019. p. 66-77
Keywords [en]
multi-level modeling, Telos, process model, ConceptBase, Datalog
National Category
Software Engineering Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-17769DOI: 10.1109/MODELS-C.2019.00016ISI: 000521634200008Scopus ID: 2-s2.0-85075920480ISBN: 978-1-7281-5125-0 (electronic)ISBN: 978-1-7281-5126-7 (print)OAI: oai:DiVA.org:his-17769DiVA, id: diva2:1358420
Conference
IEEE / ACM 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), Workshop MULTI 2019, Munich, Germany, September 16, 2019
Projects
KK Stiftelsen Synergy project: Knowledge-driven decision support via optimizationEU ISF Project A431.678/2016 ELVIRA
Funder
Knowledge FoundationAvailable from: 2019-10-07 Created: 2019-10-07 Last updated: 2020-04-16Bibliographically approved

Open Access in DiVA

fulltext(982 kB)561 downloads
File information
File name FULLTEXT01.pdfFile size 982 kBChecksum SHA-512
9c2350e55ea7dce787e51ce88a992f420e63556b6f3e3b7f4676b61729cbbf51fe6b8218f95a7426184b5ca69105124bdf23d83f17bbef66405153927c125875
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Jeusfeld, Manfred A.

Search in DiVA

By author/editor
Jeusfeld, Manfred A.
By organisation
School of InformaticsThe Informatics Research Centre
Software EngineeringInformation Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 561 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 833 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.46.0
|
WCAG
|
Skövde University Library
|
Contact