Modeling Inconsistent Data for Reasoners in Web of Things

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00122772" target="_blank" >RIV/00216224:14330/21:00122772 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.procs.2021.08.130" target="_blank" >http://dx.doi.org/10.1016/j.procs.2021.08.130</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2021.08.130" target="_blank" >10.1016/j.procs.2021.08.130</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling Inconsistent Data for Reasoners in Web of Things

Popis výsledku v původním jazyce

With the recent developments of the Internet of Things and its integration in the web environment, the Web of Things and the real-time data submissions to Reasoners are enabled. However, the data that are fed to the Reasoners are often inconsistent. This can be possibly caused by the malfunction of certain Internet of Things device or by human errors. The data consistency issue is becoming more complex in the Web of Things network. This paper, therefore, proposes a new data processing model to tackle the inconsistent data, so that the processed data can be further used in Reasoners. The data processing model introduces an oversimplification of the Shramko-Wansing sixteen-valued trilattice, which is an extension of Belnap’s four-valued bilattice to assign the data classical truth-values. A preliminary implementation is demonstrated to validate the proposed model. The result shows that our model can avoid system collapse when contradictory outputs exist.

Název v anglickém jazyce

Modeling Inconsistent Data for Reasoners in Web of Things

Popis výsledku anglicky

With the recent developments of the Internet of Things and its integration in the web environment, the Web of Things and the real-time data submissions to Reasoners are enabled. However, the data that are fed to the Reasoners are often inconsistent. This can be possibly caused by the malfunction of certain Internet of Things device or by human errors. The data consistency issue is becoming more complex in the Web of Things network. This paper, therefore, proposes a new data processing model to tackle the inconsistent data, so that the processed data can be further used in Reasoners. The data processing model introduces an oversimplification of the Shramko-Wansing sixteen-valued trilattice, which is an extension of Belnap’s four-valued bilattice to assign the data classical truth-values. A preliminary implementation is demonstrated to validate the proposed model. The result shows that our model can avoid system collapse when contradictory outputs exist.

Druh

D - Stať ve sborníku

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

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Procedia Computer Science, Volume 192, 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021

ISBN

—

ISSN

1877-0509

e-ISSN

—

Počet stran výsledku

9

Strana od-do

1265-1273

Název nakladatele

Elsevier

Místo vydání

Szczecin

Místo konání akce

Szczecin

Datum konání akce

1. 1. 2021

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000720289001032