A conceptual theory of part-whole relations and its applications

Gerstl, Peter; Pribbenow, Simone

doi:10.1016/s0169-023x(96)00014-6

Cited by 32 publications

(16 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ontologists and other researchers have also shown the semantics of composites and components can be far more complex than the semantics we have considered in our previous examples (see [5,9,10,12]). Eventually we must be able to model faithfully the full range of semantics that can arise with composites and components.…”

Section: Straightforward Answersmentioning

confidence: 61%

Representing composites in conceptual modeling

2004

View full text Add to dashboard Cite

show abstract

Section: Straightforward Answersmentioning

confidence: 61%

Representing composites in conceptual modeling

2004

View full text Add to dashboard Cite

show abstract

“…It is recognized as one of the most comprehensive categorizations of partonomic relationships, and other work in similar spirit such as [13] analyze his categorization.…”

Section: Winston's Approach To Part-of Relationships-ontologizedmentioning

confidence: 99%

“…between entities), PLATO also enriches the schema by generalizing from the instance level assertions. To explain this step, let C and D be two classes about which we want to find out whether they should be related on the schema level by one of the partonomic relationships R. From the process just described, we obtain a set MR,C,D of instance level assertions of the form R(a, b), where a ∈ C and b ∈ D. 13 We now add schema level axioms according to the following rules: (1) If, for all a ∈ C, there is a b ∈ D with R(a, b) ∈ MR,C,D, then add the axiom C ∃R.D, which can be expressed in OWL/RDF serialization using the owl:someValuesFrom property restriction. (2) If, for all b ∈ D, there is a a ∈ C with R(a, b) ∈ MR,C,D, then add the axiom D ∃R − .C, were R − indicates the inverse (using owl:inverseOf ) property of R. While this approach seems to be rather crude compared to schema learning methods based on inductive paradigms, 14 it already achieves good results, as can be seen from our evaluation in Section 4.3.…”

Section: Hypothesis Testingmentioning

confidence: 99%

Moving beyond SameAs with PLATO

Jain

Hitzler

Verma

et al. 2012

Proceedings of the 23rd ACM Conference on Hypertext and Social Media

View full text Add to dashboard Cite

The Linked Open Data (LOD) Cloud has gained significant traction over the past few years. With over 275 interlinked datasets across diverse domains such as life science, geography, politics, and more, the LOD Cloud has the potential to support a variety of applications ranging from open domain question answering to drug discovery.Despite its significant size (approx. 30 billion triples), the data is relatively sparely interlinked (approx. 400 million links). A semantically richer LOD Cloud is needed to fully realize its potential. Data in the LOD Cloud are currently interlinked mainly via the owl:sameAs property, which is inadequate for many applications. Additional properties capturing relations based on causality or partonomy are needed to enable the answering of complex questions and to support applications.In this paper, we present a solution to enrich the LOD Cloud by automatically detecting partonomic relationships, which are well-established, fundamental properties grounded in linguistics and philosophy. We empirically evaluate our solution across several domains, and show that our approach performs well on detecting partonomic properties between LOD Cloud data.

show abstract

“…Composition relationship is a form of abstraction in the form of a relation between the whole and its parts. There are several influential works that consider composition in the context of design methods (Motschnig-Pitrik and Kaasbøll, 1999a;Kilov, 1999;Steimann et al, 2003;Gerstla and Pribbenow, 1996;Barbier et al, 2003). The diversity of the properties of composition that we can see in the above mentioned works can be explained by different backgrounds of authors aiming to define the primary properties of composition.…”

Section: Systems Theory Of Cbdmsmentioning

confidence: 99%

Systemic classification of concern-based design methods in the context of enterprise architecture

Balabko

Wegmann

2006

Inf Syst Front

View full text Add to dashboard Cite

Enterprise Architecture (EA) is a relatively new domain that is rapidly developing. "The primary reason for developing EA is to support business by providing the fundamental technology and process structure for an IT strategy" [TOGAF]. EA models have to model enterprises facets that span from marketing to IT. As a result, EA models tend to become large. Large EA models create a problem for model management. Concern-based design methods (CBDMs) aim to solve this problem by considering EA models as a composition of smaller, manageable parts-concerns. There are dozens of different CBDMs that can be used in the context of EA: from very generic methods to specific methods for business modeling or IT implementations. This variety of methods can cause two problems for those who develop and use innovative CBDMs in the field of Enterprise Architecture (EA). The first problem is to choose specific CBDMs that can be used in a given EA methodology: this is a problem for researchers who develop their own EA methodology. The second problem is to find similar methods (with the same problem domain or with similar frameworks) in order to make a comparative analysis with these methods: this is a problem of researchers who develop their own CBDMs related to a specific problem domain in EA (such as business process modeling or aspect oriented programming). We aim to address both of these problems by means about trends that we have observed in the field of concernbased design and modeling.

show abstract

A conceptual theory of part-whole relations and its applications

Cited by 32 publications

References 6 publications

Representing composites in conceptual modeling

Representing composites in conceptual modeling

Moving beyond SameAs with PLATO

Systemic classification of concern-based design methods in the context of enterprise architecture

Contact Info

Product

Resources

About