Integrating Two Descriptions of Taxonomies with Materialization.

Pirotte, Alain; Massart, David

doi:10.5381/jot.2004.3.5.a4

Cited by 3 publications

(4 citation statements)

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“…The first was Goldstein and Storey [ 40 ] and the second Pirotte [ 98 ], which references the first. Other relevant papers include some written by Goldstein and Storey [ 41 ], Dahchour et al [ 26 ], and Pirotte and Massart [ 97 ], each typically referencing the earlier papers.…”

Section: Major Powertype Strandsmentioning

confidence: 99%

“…Pirotte and Massart [ 97 ] offer a way to reinterpret the earlier conceptual approach in realist terms. In a section entitled “Real-World Modeling,” categories are introduced as the extensional counterparts of concepts, and referring to the earlier paper [ 98 ], states materialization is “a binary relationship between a class of categories and a class of more concrete objects analyzed in terms of these categories.” The paper also proposes (p. 145) a way of treating the instances of the class of categories and subclasses of the class of concrete objects as two facets of a single construct shown in the extract from its Fig.…”

Section: Major Powertype Strandsmentioning

confidence: 99%

“…Figure 17 shows an extract from Fig. 5 of Pirotte and Massart [ 97 ] with a clear concrete class hierarchy on the right-hand side. The figure highlights that there is nothing directly linking the conceptual classes on the left-hand side.…”

Section: Major Powertype Strandsmentioning

confidence: 99%

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Formalization of the classification pattern: survey of classification modeling in information systems engineering

et al. 2016

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Formalization is becoming more common in all stages of the development of information systems, as a better understanding of its benefits emerges. Classification systems are ubiquitous, no more so than in domain modeling. The classification pattern that underlies these systems provides a good case study of the move toward formalization in part because it illustrates some of the barriers to formalization, including the formal complexity of the pattern and the ontological issues surrounding the “one and the many.” Powersets are a way of characterizing the (complex) formal structure of the classification pattern, and their formalization has been extensively studied in mathematics since Cantor’s work in the late nineteenth century. One can use this formalization to develop a useful benchmark. There are various communities within information systems engineering (ISE) that are gradually working toward a formalization of the classification pattern. However, for most of these communities, this work is incomplete, in that they have not yet arrived at a solution with the expressiveness of the powerset benchmark. This contrasts with the early smooth adoption of powerset by other information systems communities to, for example, formalize relations. One way of understanding the varying rates of adoption is recognizing that the different communities have different historical baggage. Many conceptual modeling communities emerged from work done on database design, and this creates hurdles to the adoption of the high level of expressiveness of powersets. Another relevant factor is that these communities also often feel, particularly in the case of domain modeling, a responsibility to explain the semantics of whatever formal structures they adopt. This paper aims to make sense of the formalization of the classification pattern in ISE and surveys its history through the literature, starting from the relevant theoretical works of the mathematical literature and gradually shifting focus to the ISE literature. The literature survey follows the evolution of ISE’s understanding of how to formalize the classification pattern. The various proposals are assessed using the classical example of classification; the Linnaean taxonomy formalized using powersets as a benchmark for formal expressiveness. The broad conclusion of the survey is that (1) the ISE community is currently in the early stages of the process of understanding how to formalize the classification pattern, particularly in the requirements for expressiveness exemplified by powersets, and (2) that there is an opportunity to intervene and speed up the process of adoption by clarifying this expressiveness. Given the central place that the classification pattern has in domain modeling, this intervention has the potential to lead to significant improvements.

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Section: Major Powertype Strandsmentioning

confidence: 99%

Section: Major Powertype Strandsmentioning

confidence: 99%

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Formalization of the classification pattern: survey of classification modeling in information systems engineering

et al. 2016

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“…Figure 5.1 shows the meta individual BuildingType and its associated class 'Building' as two attached boxes. The combination of these two boxes is also called a two-facetted construct, containing a class facet and an object facet [58,224]. The relation between class (e.g., GeometricObject) and metaclass (SpatialAttributeType) can be made explicit by means of a materialisation abstraction pattern as presented in [224,225].…”

Section: Information Partmentioning

confidence: 99%

Semantic interoperability of distributed geo-services

Lemmens¹

2006

Publications on Geodesy

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The last two decades have shown a major shift from stand-alone software systems to networked ones. As with all information system domains, Geographic Information Systems (GISs) have been influenced to a large extent by recent internet developments, resulting in an increasing availability of client/server applications using distributed geo-(web-)services, such as interactive maps, route planners and gazetteers. There is an increasing need for organisations to perform on demand geo-processing tasks by integrating and reusing geo-information and geo-services from within and outside the organisation. These activities are typically performed in the context of so called Geo-information Infrastructures (GIIs).The process of integrating services is commonly referred to as service chaining. This requires that services can be easily found, and that they are executable and interoperable. Interoperability means that the services 'understand' each other's messages. A major impediment is formed by the semantic heterogeneity (the differences in meaning) of geo-information and of the functionality of geo-services. Making services semantically interoperable is an important prerequisite for information sharing in today's networked society. This involves services that rely on different knowledge domains, one of which is the geo-information domain.Within this context, the research presented in this thesis provides solutions for the computer-aided integration of distributed heterogeneous geo-information and geo-services, based on their semantics (the meaning of their content).Geo-information distinguishes from other information by its spatial relevance. Geo-services often have to deal integrally with multiple-representations of features in a spatial, temporal and thematic dimension. Geo-services are also implicitly connected by the geographic location of the features they process. This has implications for the interoperability of geo-services. For example, the validity of a service (e.g., a routeplanner) may be bound to a specific geographic area, which could imply it cannot be used in combination with services involving another validity area. On the contrary, services that seem to be incompatible due to differences in feature representation (e.g., geometry, coordinate reference system), may turn out to be useful in combination, because they contain information on the same locations.On demand geo-processing requires services and the meta-information that describes the services to be available at the time a task is being executed. Moreover, i ix x breaks.Contributions have also been made by the students that I supervised during their MSc thesis work:

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Integrating Ontologies in Database Scheme: Ontology-Based Views Conceptual Modeling

Lô

Duarte

2010

2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems

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Integrating Two Descriptions of Taxonomies with Materialization.

Cited by 3 publications

References 1 publication

Formalization of the classification pattern: survey of classification modeling in information systems engineering

Formalization of the classification pattern: survey of classification modeling in information systems engineering

Semantic interoperability of distributed geo-services

Integrating Ontologies in Database Scheme: Ontology-Based Views Conceptual Modeling

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