Identifying a forest hierarchy in an OODB specialization hierarchy satisfying disciplined modeling

Perl, Yehoshua; Geller, James; Gu, Huanying

doi:10.1109/coopis.1996.555010

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…In [7], we presented the framework of disciplined modeling for partitioning an object-oriented schema and a proof that if its three rules were followed, the schema would contain a forest of contexts.…”

Section: Rules Of Disciplined Modelingmentioning

confidence: 99%

“…However, we cannot use that framework in a wholesale manner for our purposes here. The object slicing [14] model of the object-oriented schema used in [7] assumes that in a hierarchy of the schema we may refer to the same "`real-world object'' in several levels. That is, the information regarding a given real-world object is distributed among several instances of classes in the hierarchy.…”

Section: Rules Of Disciplined Modelingmentioning

confidence: 99%

“…Our methodology is based on the partitioning of a large terminology schema into parts. Based on the rules of disciplined modeling, a new refined modeling technique [7], we develop a theoretical paradigm that guarantees the identification of a meaningful forest hierarchy within the terminology schema's specialization hierarchy. The methodology for finding such a forest relies on an interaction between an expert and a computer.…”

Section: Introductionmentioning

confidence: 99%

“…A preliminary presentation of the theoretical paradigm only appeared in [7]. In [8], we presented a technique for directly partitioning a terminology's knowledge content (modeled as a semantic network).…”

Section: Introductionmentioning

confidence: 99%

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Partitioning an Object-Oriented Terminology Schema

Perl

Halper

et al. 2001

Methods Inf Med

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Abstract:Controlled medical terminologies are increasingly becoming strategic components of various healthcare enterprises. However, the typical medical terminology can be difficult to exploit due to its extensive size and high density. The schema of a medical terminology offered by an object-oriented representation is a valuable tool in providing an abstract view of the terminology, enhancing comprehensibility and making it more usable. However, schemas themselves can be large and unwieldy. We present a methodology for partitioning a medical terminology schema into manageably sized fragments that promote increased comprehension. Our methodology has a refinement process for the subclass hierarchy of the terminology schema. The methodology is carried out by a medical domain expert in conjunction with a computer. The expert is guided by a set of three modeling rules, which guarantee that the resulting partitioned schema consists of a forest of trees. This makes it easier to understand and consequently use the medical terminology. The application of our methodology to the schema of the Medical Entities Dictionary (MED) is presented.

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Section: Rules Of Disciplined Modelingmentioning

confidence: 99%

Section: Rules Of Disciplined Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Partitioning an Object-Oriented Terminology Schema

Perl

Halper

et al. 2001

Methods Inf Med

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“…In Figure 9, we show a large portion of the OOHTR schema's subclass hierarchy, with attributes and relationships omitted by applying ''information thinning.'' 29,30 The figure contains about half the propertyintroducing classes and the intersection classes. The area classes above the dashed line represent areas rooted at property-introducing concepts.…”

Section: Extended Oohtr Schemamentioning

confidence: 99%

Benefits of an Object-oriented Database Representation for Controlled Medical Terminologies

Gu¹,

Halper²,

Geller³

et al. 1999

Journal of the American Medical Informatics Association

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A b s t r a c t Objective:Controlled medical terminologies (CMTs) have been recognized as important tools in a variety of medical informatics applications, ranging from patient-record systems to decision-support systems. Controlled medical terminologies are typically organized in semantic network structures consisting of tens to hundreds of thousands of concepts. This overwhelming size and complexity can be a serious barrier to their maintenance and widespread utilization. The authors propose the use of object-oriented databases to address the problems posed by the extensive scope and high complexity of most CMTs for maintenance personnel and general users alike. Design:The authors present a methodology that allows an existing CMT, modeled as a semantic network, to be represented as an equivalent object-oriented database. Such a representation is called an object-oriented health care terminology repository (OOHTR). Results:The major benefit of an OOHTR is its schema, which provides an important layer of structural abstraction. Using the high-level view of a CMT afforded by the schema, one can gain insight into the CMT's overarching organization and begin to better comprehend it. The authors' methodology is applied to the Medical Entities Dictionary (MED), a large CMT developed at Columbia-Presbyterian Medical Center. Examples of how the OOHTR schema facilitated updating, correcting, and improving the design of the MED are presented. Conclusion:The OOHTR schema can serve as an important abstraction mechanism for enhancing comprehension of a large CMT, and thus promotes its usability.

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