Enterprise Ontology | ScienceGate

ABSTRACT Modern business organizations experience increasing challenges in the development and evolution of their enterprise systems. Typical problems include legacy re-engineering, systems integration/interoperability, and the architecting of the enterprise. At the heart of all these problems is enterprise modeling. Many enterprise modeling approaches have been proposed in the literature with some based on ontology. Few however adopt a foundational ontology to underpin a range of enterprise models in a consistent and coherent manner. Fewer still take data-driven re-engineering as their natural starting point for modeling. This is the approach taken by Business Object Reference Ontology (BORO). It has two closely intertwined components: a foundational ontology and a re-engineering methodology. These were originally developed for the re-engineering of enterprise systems and subsequently evolved into approaches to enterprise architecture and systems integration. Together these components are used to systematically unearth reusable and generalized business patterns from existing data. Most of these patterns have been developed for the enterprise context and have been successfully applied in several commercial projects within the financial, defense, and oil and gas industries. BORO's foundational ontology is grounded in philosophy and its metaontological choices (including perdurantism, extensionalism, and possible worlds) follow well-established theories. BORO's re-engineering methodology is rooted in the philosophical notion of grounding; it emerged from the practice of deploying its foundational ontology and has been refined over the last 25 years. This paper presents BORO and its application to enterprise modeling.

Download Full-text

A Method for Reengineering Healthcare Using Enterprise Ontology and Lean

Communications in Computer and Information Science - Knowledge Discovery, Knowledge Engineering and Knowledge Management ◽

10.1007/978-3-642-54105-6_16 ◽

2013 ◽

pp. 243-259 ◽

Cited By ~ 1

Author(s):

David Galego Dias ◽

Carlos Mendes ◽

Miguel Mira da Silva

Keyword(s):

Enterprise Ontology

Download Full-text

An Enterprise Ontology Based Conceptual Modeling Grammar for Representing Value Chain and Supply Chain Scripts

Business Intelligence ◽

10.4018/978-1-4666-9562-7.ch006 ◽

2016 ◽

pp. 119-137

Author(s):

Wim Laurier ◽

Geert Poels

Keyword(s):

Supply Chain ◽

Value Chain ◽

Conceptual Modeling ◽

Third Party ◽

Agent Model ◽

Business Modeling ◽

Business Partners ◽

System Interoperability ◽

Conceptual Modeling Grammar ◽

Enterprise Ontology

In business modeling the focus is shifting from individual enterprises to the supply chains in which they collaborate. Contemporary business modeling grammars should allow each enterprise taking part in a supply chain to develop its own information system and at the same time support the creation of system interoperability and information sharing amongst business partners in the supply chain. This paper presents a conceptual modeling grammar for representing business scripts in a way that is both observer-dependent and independent. That is, value chain information should be represented in a format that is suitable for the perspective of any partner in the supply chain (e.g., enterprise, supplier, customer, customer's customer, supplier's supplier) and for the perspective of a completely neutral third party (e.g., government). The proposed observer-independent conceptual-modeling grammar, which is given strength by grounding it in the mature Resource-Event-Agent model, is shown to represent information about business phenomena of diverse supply chain partners such that it can be integrated across enterprise boundaries

Download Full-text