Literature DB >> 10606795

An object-oriented design for automated navigation of semantic networks inside a medical data dictionary.

W Ruan1, T Bürkle, J Dudeck.   

Abstract

In this paper we present a data dictionary server for the automated navigation of information sources. The underlying knowledge is represented within a medical data dictionary. The mapping between medical terms and information sources is based on a semantic network. The key aspect of implementing the dictionary server is how to represent the semantic network in a way that is easier to navigate and to operate, i.e. how to abstract the semantic network and to represent it in memory for various operations. This paper describes an object-oriented design based on Java that represents the semantic network in terms of a group of objects. A node and its relationships to its neighbors are encapsulated in one object. Based on such a representation model, several operations have been implemented. They comprise the extraction of parts of the semantic network which can be reached from a given node as well as finding all paths between a start node and a predefined destination node. This solution is independent of any given layout of the semantic structure. Therefore the module, called Giessen Data Dictionary Server can act independent of a specific clinical information system. The dictionary server will be used to present clinical information, e.g. treatment guidelines or drug information sources to the clinician in an appropriate working context. The server is invoked from clinical documentation applications which contain an infobutton. Automated navigation will guide the user to all the information relevant to her/his topic, which is currently available inside our closed clinical network.

Mesh:

Year:  2000        PMID: 10606795     DOI: 10.1016/s0933-3657(99)00030-5

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  2 in total

1.  A dictionary server for supplying context sensitive medical knowledge.

Authors:  W Ruan; T Bürkle; J Dudeck
Journal:  Proc AMIA Symp       Date:  2000

2.  Using patient data to retrieve health knowledge.

Authors:  James J Cimino; Mark Meyer; Nam-Ju Lee; Suzanne Bakken
Journal:  AMIA Annu Symp Proc       Date:  2005
  2 in total

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