Rozšiřování ontologie času o neurčitý čas v minulosti

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03131103" target="_blank" >RIV/68407700:21230/07:03131103 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Extending Temporal Ontology with Uncertain Historical Time

Popis výsledku v původním jazyce

Temporal ontology for representing uncertainly specified time periods is presented. Mature approaches like Allen interval relations are combined with introduction of time granularity concept and a concept of time uncertainty. The ontology is applicable both as a static data representation and for logical data inference. Logical conclusions can be derived using an automated inference system. Uncertainty parametrization was developed for handling the domain specific uncertainty characteristics. emporal statements containing the most frequent expressions in the domain of cultural heritage preservation are identified and categorized with respect to their accuracy. A temporal inference system is implemented using OCML language. Consistency checks can find non-causal data clusters and lead to improving current event data. Finally, resource annotation with Dynamic Narrative Authoring Tool utilizing temporal inference is presented.

Název v anglickém jazyce

Extending Temporal Ontology with Uncertain Historical Time

Popis výsledku anglicky

Temporal ontology for representing uncertainly specified time periods is presented. Mature approaches like Allen interval relations are combined with introduction of time granularity concept and a concept of time uncertainty. The ontology is applicable both as a static data representation and for logical data inference. Logical conclusions can be derived using an automated inference system. Uncertainty parametrization was developed for handling the domain specific uncertainty characteristics. emporal statements containing the most frequent expressions in the domain of cultural heritage preservation are identified and categorized with respect to their accuracy. A temporal inference system is implemented using OCML language. Consistency checks can find non-causal data clusters and lead to improving current event data. Finally, resource annotation with Dynamic Narrative Authoring Tool utilizing temporal inference is presented.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název periodika

Computing and Informatics

ISSN

1335-9150

e-ISSN

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Svazek periodika

26

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

16

Strana od-do

239-254

Kód UT WoS článku

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EID výsledku v databázi Scopus

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