Matches in SemOpenAlex for { <https://semopenalex.org/work/W2798941287> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2798941287 abstract "In a model-driven organization, all stakeholders are able to deal with information about an organization in the way that best supports their goals and tasks. In other words, they are able to select models of the organization at the optimal level of abstraction (e.g. platform independent) in the optimal form (e.g. graph-based) and with the optimal scope (e.g. a single component). However, no approach exists today that seamlessly supports this capability over the entire life-cycle of organizations and the IT systems that drive them. Enterprise architecture modeling approaches focus on supporting model-based views of the static architecture of organizations (i.e. enterprises) but generally provide little if any support for operational views. On the other hand, business intelligence approaches focus on providing operational views of organizations and usually do not accommodate static architectural views. In order to fully support the model-driven organization (MDO) vision, therefore, these two worlds need to be unified and a common, natural and uniform approach for defining and supporting all forms of views on organizations, at all stages of their life-cycles, needs to be defined and implemented in an efficient and scalable way. This paper presents a vision for achieving this goal based on the notions of deep and orthographic modeling. After explaining the background to the problem and introducing these two paradigms, the paper presents a novel approach for unifying them, along with a prototype implementation and example." @default.
- W2798941287 created "2018-05-07" @default.
- W2798941287 creator A5010296027 @default.
- W2798941287 creator A5024067855 @default.
- W2798941287 creator A5070227404 @default.
- W2798941287 date "2018-04-25" @default.
- W2798941287 modified "2023-10-08" @default.
- W2798941287 title "Supporting the model-driven organization vision through deep, orthographic modeling" @default.
- W2798941287 doi "https://doi.org/10.18417/emisa.13.7" @default.
- W2798941287 hasPublicationYear "2018" @default.
- W2798941287 type Work @default.
- W2798941287 sameAs 2798941287 @default.
- W2798941287 citedByCount "2" @default.
- W2798941287 countsByYear W27989412872020 @default.
- W2798941287 countsByYear W27989412872022 @default.
- W2798941287 crossrefType "journal-article" @default.
- W2798941287 hasAuthorship W2798941287A5010296027 @default.
- W2798941287 hasAuthorship W2798941287A5024067855 @default.
- W2798941287 hasAuthorship W2798941287A5070227404 @default.
- W2798941287 hasConcept C111472728 @default.
- W2798941287 hasConcept C115903868 @default.
- W2798941287 hasConcept C120665830 @default.
- W2798941287 hasConcept C121332964 @default.
- W2798941287 hasConcept C124304363 @default.
- W2798941287 hasConcept C127413603 @default.
- W2798941287 hasConcept C138885662 @default.
- W2798941287 hasConcept C154945302 @default.
- W2798941287 hasConcept C168167062 @default.
- W2798941287 hasConcept C192209626 @default.
- W2798941287 hasConcept C195094911 @default.
- W2798941287 hasConcept C199360897 @default.
- W2798941287 hasConcept C2778012447 @default.
- W2798941287 hasConcept C41008148 @default.
- W2798941287 hasConcept C48044578 @default.
- W2798941287 hasConcept C56739046 @default.
- W2798941287 hasConcept C77088390 @default.
- W2798941287 hasConcept C97355855 @default.
- W2798941287 hasConceptScore W2798941287C111472728 @default.
- W2798941287 hasConceptScore W2798941287C115903868 @default.
- W2798941287 hasConceptScore W2798941287C120665830 @default.
- W2798941287 hasConceptScore W2798941287C121332964 @default.
- W2798941287 hasConceptScore W2798941287C124304363 @default.
- W2798941287 hasConceptScore W2798941287C127413603 @default.
- W2798941287 hasConceptScore W2798941287C138885662 @default.
- W2798941287 hasConceptScore W2798941287C154945302 @default.
- W2798941287 hasConceptScore W2798941287C168167062 @default.
- W2798941287 hasConceptScore W2798941287C192209626 @default.
- W2798941287 hasConceptScore W2798941287C195094911 @default.
- W2798941287 hasConceptScore W2798941287C199360897 @default.
- W2798941287 hasConceptScore W2798941287C2778012447 @default.
- W2798941287 hasConceptScore W2798941287C41008148 @default.
- W2798941287 hasConceptScore W2798941287C48044578 @default.
- W2798941287 hasConceptScore W2798941287C56739046 @default.
- W2798941287 hasConceptScore W2798941287C77088390 @default.
- W2798941287 hasConceptScore W2798941287C97355855 @default.
- W2798941287 hasLocation W27989412871 @default.
- W2798941287 hasOpenAccess W2798941287 @default.
- W2798941287 hasPrimaryLocation W27989412871 @default.
- W2798941287 hasRelatedWork W130298796 @default.
- W2798941287 hasRelatedWork W1493186912 @default.
- W2798941287 hasRelatedWork W1585634507 @default.
- W2798941287 hasRelatedWork W1637619674 @default.
- W2798941287 hasRelatedWork W1877191876 @default.
- W2798941287 hasRelatedWork W2027688017 @default.
- W2798941287 hasRelatedWork W2039881836 @default.
- W2798941287 hasRelatedWork W2057826587 @default.
- W2798941287 hasRelatedWork W2100208579 @default.
- W2798941287 hasRelatedWork W2118671646 @default.
- W2798941287 hasRelatedWork W2186139160 @default.
- W2798941287 hasRelatedWork W2264391469 @default.
- W2798941287 hasRelatedWork W2405587221 @default.
- W2798941287 hasRelatedWork W2605030172 @default.
- W2798941287 hasRelatedWork W2782597298 @default.
- W2798941287 hasRelatedWork W2913470433 @default.
- W2798941287 hasRelatedWork W3102010949 @default.
- W2798941287 hasRelatedWork W47428245 @default.
- W2798941287 hasRelatedWork W95706143 @default.
- W2798941287 hasRelatedWork W2157210033 @default.
- W2798941287 hasVolume "13" @default.
- W2798941287 isParatext "false" @default.
- W2798941287 isRetracted "false" @default.
- W2798941287 magId "2798941287" @default.
- W2798941287 workType "article" @default.