Treatise on Basic Philosophy

Bunge, Mario

doi:10.1007/978-94-010-9924-0

Cited by 576 publications

(148 citation statements)

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“…The UEML ontology is organised into four taxonomies: The classes in the ontology are organised in a conventional (Bunge 1977(Bunge , 1979) and which will keep growing as more modelling languages and constructs are added to UEML.…”

Section: The Common Ontologymentioning

confidence: 99%

“…The current UEML taxonomy of properties, which has evolved from Bunge's ontological model (Bunge 1977(Bunge , 1979 and which keeps growing along with the class taxonomy in In Figure 4, the most general class is Anything, used to describe constructs that are intended to represent any type of thing. The subclasses of Anything are more specific.…”

Section: The Common Ontologymentioning

confidence: 99%

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The Unified Enterprise Modelling Language—Overview and further work

Anaya

Berio

Harzallah

et al. 2010

Computers in Industry

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Abstract:The Unified Enterprise Modelling Language (UEML) aims at supporting integrated use of enterprise and IS models expressed using different languages. To achieve this aim, UEML offers a hub through which modelling languages can be connected, thereby paving the way for also connecting the models expressed in those languages. This paper motivates and presents the most central parts of the UEML approach: a structured path to describing enterprise and IS modelling constructs; a common ontology to interrelate construct descriptions at the semantic level; a correspondence analysis approach to estimate semantic construct similarity; a quality framework to aid selection of languages; a meta-meta model to integrate the different parts of the approach; and a set of tools to aid its use and evolution. The paper also discusses the benefits of UEML and points to paths for further work.

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Section: The Common Ontologymentioning

confidence: 99%

Section: The Common Ontologymentioning

confidence: 99%

The Unified Enterprise Modelling Language—Overview and further work

Anaya

Berio

Harzallah

et al. 2010

Computers in Industry

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“…It carries out searches on route databases by utilizing a domain-specific ontology and the comparison between queries and learnt routes via conceptual distance measures [24]. Ontologies are a specification of an abstract view of the world that is represented for a specific purpose [25] and, therefore, define a set of representational terms called concepts which are interrelated to describe a target world. The SACO algorithm may be formulated as follows and its process is illustrated in Figure 1:…”

Section: Saco: An Ontology-based Multicriteria Aco Algorithmmentioning

confidence: 99%

Learning semantically-annotated routes for context-aware recommendations on map navigation systems

Mocholi

Jaén

Krynicki

et al. 2012

Applied Soft Computing

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ElsevierMocholi Agües, JA.; Jaén Martínez, FJ.; Krynicki, KK.; Catalá Bolós, A.;Picón, A.;Cadenas, A. (2012) ABSTRACTModern technology has brought many changes to our everyday lives. Our need to be in constant touch with others has been met with the cellphone, which has become our companion and the convergence point of many technological advances. The combination of capabilities such as browsing the Internet and GPS reception has multiplied the services and applications based on the current location of the user.However, providing the user with these services has certain drawbacks. Although map navigation systems are the most meaningful way of displaying this information, the user still has to manually set up the filter in order to obtain a non-bloated visualization of the map and the available services. To tackle this problem, we present here a semantic multicriteria ant colony algorithm capable of learning the user's routes, including associated context information, and then predicting the most likely route a user is following, given his current location and context data. This knowledge could then be used as the basis for offering services related to his current (or most likely future) context data close to the path he is following. Our experimental results show that our algorithm is capable of obtaining consistent solutions sets even when multiple objective ontological terms are included in the process.

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“…In addition to FRISCO, our ontological analysis and evaluation is anchored in the Bunge-Wand-Weber (BWW) model of information systems. The BWW-model has been proposed by Wand and Weber (e.g., Wand and Weber, 1995;Weber, 1997) as an adaptation to the IS field of Mario Bunge's comprehensive ontology (Bunge, 1977(Bunge, , 1979 We consider the BWW-model and FRISCO appropriate for our ontological analysis and evaluation of OML since they are two among several ontologies that can and should be used to improve and better define existing 00 modelling languages. Following (Wand and Weber, 1993), we also argue that the BWW -model is (1) better developed and formalised than competing ontologies, (2) based on concepts that are fundamental to the computer science and IS fields and (3) productive, in the sense that it has produced useful results already.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

An Ontological Evaluation of the OML Metamodel

Opdahl

Henderson‐Sellers

Barbier

2000

Information System Concepts: An Integrated Discipline Emerging

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Abstract:The paper presents results of analysing and evaluating the OPEN Modelling Language (OML) metamodel in terms of the Bunge-Wand-Weber (BWW) model of information systems and the Framework of Information Systems Concepts (FRISCO). The analysis and evaluation has suggested several ways to improve the modeJling constructs supported by OML and to improve how OML is defined and organised. It has also made it clearer how and why ontological models like the BWW -model and FRISCO can and should be used to improve and define object-oriented (00) modelling languages. In particular, it has led to a template for defining 00 modelling constructs in terms of what they represent in the problem domain during IS development. Finally, the analysis and evaluation has suggested ways to improve FRISCO as an analysis and evaluation tool for 00 modelling languages. INTRODUCTIONObject-oriented (00) modelling languages have become widespread in recent years. However, some critics claim that object orientation is less well suited for modelling "real-world" problem domains during information systems (IS) development because object-oriented abstractions are tailored to represent software artefacts rather than things in or aspects of problem domains. For example, critics question whether OO-concepts such as message passing and encapsulation are really features of the real-world Opdahl, Henderson-Sellers and Barbier things that are represented and whether things really belong to fixed classes throughout their life-times (e.g., Jackson, 1995; Parsons and Wand, 1997b.) To shed light on these problems and related ones, the paper presents results of using ontology to analyse and evaluate how well the metamodel of the OPEN! Modelling Language (OML; supports representation of "real-world" problem domains. The analysis and evaluation is anchored in the Bunge-Wand-Weber (BWW) model of information systems (e.g., Wand and Weber, 1995;Weber, 1997) and in the Framework of Information Systems Concepts (FRISCO;Falkenberg et al., 1998.) It is the result of systematically comparing more than 160 OML-constructs with 44 ontological constructs in the BWW-model and 98 constructs in FRISCO.Since space does not permit a detailed discussion of each OMLconstruct, the paper instead discusses important outcomes in general.(1) The analysis and evaluation has suggested several ways to improve the modelling constructs supported by OML and to improve how OML is defined and organised. (2) It has made it clearer how and why ontological models like the BWW -model and FRISCO can and should be used to improve and define object-oriented (00) modelling languages. (3) As a consequence, it has led to a template for defining 00 modelling constructs in terms of what they represent in the problem domain of IS development. (4) Finally, the analysis and evaluation has suggested ways to improve FRISCO as an analysis and evaluation tool for 00 modelling languages. Since detailed suggestions for improving OML will be presented elsewhere, the paper will focus on the latter th...

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Treatise on Basic Philosophy

Cited by 576 publications

References 0 publications

The Unified Enterprise Modelling Language—Overview and further work

The Unified Enterprise Modelling Language—Overview and further work

Learning semantically-annotated routes for context-aware recommendations on map navigation systems

An Ontological Evaluation of the OML Metamodel

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