| L. Liu, M. Halper, J. Geller, and Y. Perl. Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases, 7(1):37--65, Jan. 1999. |
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L. Liu, M. Halper, J. Geller, and Y. Perl. Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases, 7(1):37--65, Jan. 1999.
No context found.
Liu L, Halper M, Geller J, and Perl Y. Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases, 7(1):37--65, 1999.
.... problems of terminology comprehension by presenting a methodology for representing a CMT, modeled using the semantic network paradigm [15, 16, 17] as an object oriented database (OODB) 18, 19, 20] We refer to such a representation as an Object Oriented Healthcare Terminology Repository (OOHTR) [21, 22]. One of the most important components of the OOHTR is its schema, which provides an abstraction layer through which the CMT can be viewed and studied. This compact presentation of the CMT helps to shed light on its overarching structure. We will use the MED as our test bed. Studies have shown ....
....overall root Medical Entity becomes the top class in the OOHTR schema s class hierarchy. As we mentioned, an area class can have more than one superclass. This is demonstrated by the class Chemical Area which has the superclasses Measurable Entity Area and Etiologic Agent Area (Figure 6) In [21], we presented a program called the OOHTR Generator which automatically generates the OODB schema for a given CMT. That program was used to build the MED s OOHTR schema shown in Figure 6. It has also been applied to the InterMED [21] The MED s IS A hierarchy served as the basis for the mapping ....
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Liu L, Halper M, Geller J, Perl Y. Controlled vocabularies in OODBs: Modeling issues and implementation. To appear in Distributed and Parallel Databases 1999.
....Designers, maintainers and users of the UMLS need tools to help with their work. Tools for retrieval and manipulation of the content of such a system are insufficient. Rather, they must help professionals reach a level of comprehension essential to performing their tasks. In previous work [5,6], we have developed a methodology for representing Controlled Medical Terminologies (CMTs) as Object Oriented Databases (OODBs) to provide support for comprehension of their structure and content. The comprehension support was achieved via the schema layer which gives an abstract view of the ....
Liu L, Halper M, Geller J, Perl Y. Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases, 7(1):37--65, January 1999.
....child parent pair as a number between 0 and 1, where 0 means the lowest and 1 the highest similarity (identical) 2. 1 Similarity based on Property Introduction In the InterMED, each property is first introduced at a unique concept which we will call property introducing concept for the property [19]. A concept may serve as the property introducing concept for many properties. A property is inherited by all the children and descendants of a concept. Thus, there are only two cases for all child parent pairs. One is that the child concept has the same properties as its parent concept. This ....
Liu, L., Halper, M., Geller, J., Perl, Y.: Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases 7 (1999) 37--65
....for Science and Technology, one for the New Jersey Center for Software Engineering and the other for the Multi lifecycle Engineering Research Center. 1 [6] References to related work on semantic networks [4] knowledge representation languages [22] and ontologies [24] can be found in [19, 20]. One major aspect of many CVs is their enormous size and scope. A CV can easily consist of many thousands of concepts with a proportional number of inter concept relationships. Given this fact, it may be hard for potential users and even a CV s own designers to orient themselves to the vast ....
....own designers to orient themselves to the vast content of a CV and exploit its many advantages. In previous work, we have devised a novel technique for modeling a CV as an object oriented database (OODB) 2, 3, 5, 12, 17, 21, 34] a form we call an Object Oriented Vocabulary Repository (OOVR) [19, 20]. Using our methodology, we have constructed OOVRs based on the MED and the InterMED [25] Both OOVRs are up and running in ONTOS DB Explorer [26, 31] a commercial OODB management system. Access to the InterMED OOVR is available on the Web in two forms [11, 27] We have shown that the OOVR ....
[Article contains additional citation context not shown here]
L. Liu, M. Halper, J. Geller, and Y. Perl. Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases, 7(1):37--65, Jan. 1999.
....tools to help with their work. Although there are tools for retrieval and manipulation of the content of the UMLS [7, 8, 9, 10] such tools are insufficient. Rather, tools should also support professionals in reaching a level of comprehension essential to performing their tasks. In previous work [11, 12], we have developed a methodology for representing Controlled Medical Terminologies (CMTs) 13, 14] as Object Oriented Databases (OODBs) to provide support for comprehending them. The methodology is based on grouping concepts with the same set of properties as instances of the same object class. ....
....As previously noted, the Metathesaurus and the Semantic Network of the UMLS are related by associating each concept of the Metathesaurus with one or more semantic types. The Semantic 4 Network provides a high level abstract view of the Metathesaurus. Note the difference from our previous work [15, 16, 11, 12] on OODB modeling of CMT, which totally lack such a high level view. In general, a class in an OODB schema represents a group of objects (or instances) which exhibit the same properties and have a common semantics. The OODB schema gives an abstract view of a database. In order to model the UMLS as ....
Liu L, Halper M, Geller J, Perl Y. Controlled vocabularies in OODBs: Modeling issues and implementation. Distributed and Parallel Databases 1999;7(1):37--65.
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L. Liu, M. Halper, H. Gu, J. Geller, and Y. Perl. Controlled vocabularies in OODBs: Modeling issues and implementation. In preparation, 1996.
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L. Liu, M. Halper, J. Geller, and Y. Perl. Controlled vocabularies in OODBs: Modeling issues and implementation. In istributed and Parallel Databases, pages 37-65, 1999.
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