scholarly journals Creating a Standardized Markup Language for Semantic Networks

2011 ◽  
Author(s):  
Brian Harrington ◽  
Pia-Ramona Wojtinnek
Keyword(s):  
Semantic Networks ◽  
Markup Language

Only connections: A critique of semantic networks.

1984 ◽  
Vol 96 (2) ◽  
pp. 292-315 ◽  
Author(s):  
P. N. Johnson-Laird ◽  
D. J. Herrmann ◽  
R. Chaffin
Keyword(s):  
Semantic Networks

An Examination of False Memories Using Artificial Semantic Networks

2014 ◽  
Author(s):  
John Powell Taylor ◽  
Shanna'le Ashworth ◽  
Matthew Fischer ◽  
Kadie Skou ◽  
Almyra Perry
Keyword(s):  
False Memories ◽  
Semantic Networks

An Electronic Study Form to Support Collaborating Agents in the Management of Clinical Knowledge

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter
Keyword(s):  
Procedural Knowledge ◽  
Health Care Provision ◽  
Markup Language ◽  
Artificial Agents ◽  
Care Provision ◽  
Clinical Knowledge ◽  
Extensible Markup ◽  
Implementation Level ◽  
Biological Organisms ◽  
Representation Of Knowledge

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.

USING THESAURI AND SEMANTIC NETWORKS IN THE SYSTEM OF NATIONAL DATABASES OF ETHNIC MINORITIES AND ETHNIC POLICIES

2017 ◽  
Author(s):  
Nguyen Manh Hung ◽  
Be Trung Anh
Keyword(s):  
Critical Point ◽  
Ethnic Minorities ◽  
Semantic Networks ◽  
Relevant Information ◽  
Design And Development ◽  
State Management ◽  
Main Requirement ◽  
Important Means ◽  
National Databases ◽  
Adequate Data

The System of National Databases of Ethnic Minorities and Ethnic Policies (System) is recognized as one of most important means for governance and management in ethnic minority’s field of Vietnam State. The task of building this System now was put down in a direction of government and is going on first stage of design and development of database framework. One among main requirement for the System is that ability to provide fullest and adequate data and information to requests from users from various organizations of state management. As mentioned in the first draft of this design in the national-wide conference that recently hold in Hanoi (Aug-2017), one of the critical point of the design and development of databases of this system is to build “smart” searching engine based on semantic technology. It can retrieve those information on ethnic minorities and ethnic minority’s area that relevant together in term of providing users any relevant information based on only one unique query. This paper is aiming to introduce some techniques with illustrative examples that suitable for the idea of building this smart engine.

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