Conceptual Modeling Systems: A Vision for the Future of Conceptual Modeling

Roman Lukyanenko; Binny M. Samuel; Veda C. Storey; Arnon Sturm

Conceptual Modeling Systems: A Vision for the Future of Conceptual Modeling

Roman Lukyanenko, Binny M. Samuel, Veda C. Storey, Arnon Sturm

Department of Software and Information Systems Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

Although conceptual modeling has been integral to information systems development and use, much of its potential remains underutilized. This is evidenced by the lack of a broad adoption of modeling concepts beyond traditional database design and process modeling applications. In this paper, we propose a fundamentally new perspective on conceptual modeling that integrates artificial intelligence (AI) components with conceptual modeling. This perspective enables us to go beyond passive conceptual modeling representations, such as diagrams, to design conceptual modeling systems that have the capability to learn and evolve.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	3211
State	Published - 1 Jan 2022
Event	2022 ER Forum and PhD Symposium, ER-Forum-PhD 2022 - Virtual, Hyderabad, India Duration: 17 Oct 2022 → …

Keywords

Conceptual modeling
artificial intelligence
conceptual model systems (CMS)

ASJC Scopus subject areas

General Computer Science

Cite this

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title = "Conceptual Modeling Systems: A Vision for the Future of Conceptual Modeling",

abstract = "Although conceptual modeling has been integral to information systems development and use, much of its potential remains underutilized. This is evidenced by the lack of a broad adoption of modeling concepts beyond traditional database design and process modeling applications. In this paper, we propose a fundamentally new perspective on conceptual modeling that integrates artificial intelligence (AI) components with conceptual modeling. This perspective enables us to go beyond passive conceptual modeling representations, such as diagrams, to design conceptual modeling systems that have the capability to learn and evolve.",

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author = "Roman Lukyanenko and Samuel, {Binny M.} and Storey, {Veda C.} and Arnon Sturm",

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AU - Lukyanenko, Roman

AU - Samuel, Binny M.

AU - Storey, Veda C.

AU - Sturm, Arnon

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Y1 - 2022/1/1

N2 - Although conceptual modeling has been integral to information systems development and use, much of its potential remains underutilized. This is evidenced by the lack of a broad adoption of modeling concepts beyond traditional database design and process modeling applications. In this paper, we propose a fundamentally new perspective on conceptual modeling that integrates artificial intelligence (AI) components with conceptual modeling. This perspective enables us to go beyond passive conceptual modeling representations, such as diagrams, to design conceptual modeling systems that have the capability to learn and evolve.

AB - Although conceptual modeling has been integral to information systems development and use, much of its potential remains underutilized. This is evidenced by the lack of a broad adoption of modeling concepts beyond traditional database design and process modeling applications. In this paper, we propose a fundamentally new perspective on conceptual modeling that integrates artificial intelligence (AI) components with conceptual modeling. This perspective enables us to go beyond passive conceptual modeling representations, such as diagrams, to design conceptual modeling systems that have the capability to learn and evolve.

KW - Conceptual modeling

KW - artificial intelligence

KW - conceptual model systems (CMS)

UR - http://www.scopus.com/inward/record.url?scp=85138735745&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85138735745

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JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 17 October 2022

ER -

Conceptual Modeling Systems: A Vision for the Future of Conceptual Modeling

Abstract

Keywords

ASJC Scopus subject areas

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