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On the Move to Meaningful Internet Systems

Data modelling versus ontology engineering

The DOGMA ontology engineering approach is introduced that separates "atomic" conceptual relations from "predicative" domain rules and a layer of "relatively generic" ontological commitments that hold the domain rules.
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On Using Conceptual Data Modeling for Ontology Engineering

An ontology engineering-framework that enables reusing conceptual modeling approaches in modeling and representing ontologies, and an ontology-engineering tool that implements the ideas presented in the paper.
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Ontology Engineering - The DOGMA Approach

This chapter presents a methodological framework for ontology engineering (called DOGMA), which is aimed to guide ontology builders towards building ontologies that are both highly reusable and…
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On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE

The role of Foundational Ontologies in Manufacturing Domain Applications and Intellectual Property Rights Management using a Semantic Web Information System are discussed.
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Ontologies and Databases: More than a Fleeting Resemblance

The ORM (Ob jectRole Modeling) method, or rather its precursor NIAM, with its rigorous distinction and handling of so-called lexical and non-lexical knowledge proved to be an interesting candidate to help identify and clarify a number of these issues.

On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE

Developing Evolutionary Cost Models for Query Optimization in a Dynamic Multidatabase Environment and a Conceptual Markup Language That Supports Interoperability between Business Rule Modeling Systems are presented.
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On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE

Ontologies, Databases, and Applications of Semantics (ODBASE) 2003 International Conference.- The Grid Needs You! Enlist Now.- From the "Eyeball" Web to the Transaction Web.
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An ontology engineering methodology for DOGMA

This paper wants to present an integrated methodology for ontology engineering from scratch, inspired by various scientific disciplines, in particular database semantics and natural language processing.
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Formal Ontology Engineering in the DOGMA Approach

This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semantics for a real world domain, and claims it leads to methodological approaches that naturally extend key aspects of database modeling theory and practice.
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