Knowledge Management Systems Based on Topic Maps Theory

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F17%3A00534616" target="_blank" >RIV/60162694:G43__/17:00534616 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28120/17:63517372

Výsledek na webu

<a href="http://aimt.unob.cz/articles/17_01/1168.pdf" target="_blank" >http://aimt.unob.cz/articles/17_01/1168.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3849/aimt.01168" target="_blank" >10.3849/aimt.01168</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge Management Systems Based on Topic Maps Theory

Popis výsledku v původním jazyce

The aim of the paper is to summarize the experience gained from the research of the constructions of the Knowledge Management Systems (KMS) based on the ontology engineering. The heart of such a system is the ontology. Ontology is a term coined by traditional philosophers which gained recently a new meaning in computational sense. Computational ontologies are a means to formally model the structure of a system, to discover the entities and relations that emerge from its observation, and which are useful to the system purposes. There are currently two main formal approaches to construct ontology; Topic Maps and Resource Description Framework (RDF). In our projects we utilize Topic Maps theory and the tools based on this technology, e.g. ATOM2 as described in the paper. The key point of the solution is the ontology development; our methodology procedure is presented; the improvement of the methodology and the future research goals are oriented to automate the procedure steps. Phases of the methodology are collecting information sources and their processing utilizing the analytical software; clarification of the terms in the area in focus, selection of the candidate's terms for ontology classes; verification of terms regarding the document base; ontology design and its verification. During the process the text mining tools (e.g. TOVEK) and other analytical tools are used. At the end of the paper the summary of the experience with the methodology application is presented.

Název v anglickém jazyce

Knowledge Management Systems Based on Topic Maps Theory

Popis výsledku anglicky

The aim of the paper is to summarize the experience gained from the research of the constructions of the Knowledge Management Systems (KMS) based on the ontology engineering. The heart of such a system is the ontology. Ontology is a term coined by traditional philosophers which gained recently a new meaning in computational sense. Computational ontologies are a means to formally model the structure of a system, to discover the entities and relations that emerge from its observation, and which are useful to the system purposes. There are currently two main formal approaches to construct ontology; Topic Maps and Resource Description Framework (RDF). In our projects we utilize Topic Maps theory and the tools based on this technology, e.g. ATOM2 as described in the paper. The key point of the solution is the ontology development; our methodology procedure is presented; the improvement of the methodology and the future research goals are oriented to automate the procedure steps. Phases of the methodology are collecting information sources and their processing utilizing the analytical software; clarification of the terms in the area in focus, selection of the candidate's terms for ontology classes; verification of terms regarding the document base; ontology design and its verification. During the process the text mining tools (e.g. TOVEK) and other analytical tools are used. At the end of the paper the summary of the experience with the methodology application is presented.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advances in Military Technology

ISSN

1802-2308

e-ISSN

2533-4123

Svazek periodika

12

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

75-89

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85028696278