Modeling Inconsistent Data for Reasoners in Web of Things

D 2021

Modeling Inconsistent Data for Reasoners in Web of Things

BLANCO SÁNCHEZ, José Miguel, Mouzhi GE a Tomáš PITNER

Základní údaje

Originální název

Modeling Inconsistent Data for Reasoners in Web of Things

Autoři

BLANCO SÁNCHEZ, José Miguel (724 Španělsko, garant, domácí), Mouzhi GE (156 Čína) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

Szczecin, Procedia Computer Science, Volume 192, 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021, od s. 1265-1273, 9 s. 2021

Nakladatel

Elsevier

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/21:00122772

Organizační jednotka

Fakulta informatiky

ISSN

DOI

http://dx.doi.org/10.1016/j.procs.2021.08.130

UT WoS

000720289001032

Klíčová slova anglicky

Web of Things Internet of Things Semantic Web Reasoners

Štítky

core_B, firank_B

Změněno: 2. 5. 2022 15:41, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Citovat

BLANCO SÁNCHEZ, José Miguel, Mouzhi GE a Tomáš PITNER. Modeling Inconsistent Data for Reasoners in Web of Things. Online. In Procedia Computer Science, Volume 192, 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021. Szczecin: Elsevier, 2021, s. 1265-1273. ISSN 1877-0509. Dostupné z: https://dx.doi.org/10.1016/j.procs.2021.08.130.

@inproceedings{1802049,
   author = {Blanco Sánchez, José Miguel and Ge, Mouzhi and Pitner, Tomáš},
   address = {Szczecin},
   booktitle = {Procedia Computer Science, Volume 192, 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021},
   doi = {http://dx.doi.org/10.1016/j.procs.2021.08.130},
   keywords = {Web of Things Internet of Things Semantic Web Reasoners},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Szczecin},
   pages = {1265-1273},
   publisher = {Elsevier},
   title = {Modeling Inconsistent Data for Reasoners in Web of Things},
   year = {2021}
}

TY  - JOUR
ID  - 1802049
AU  - Blanco Sánchez, José Miguel - Ge, Mouzhi - Pitner, Tomáš
PY  - 2021
TI  - Modeling Inconsistent Data for Reasoners in Web of Things
PB  - Elsevier
CY  - Szczecin
KW  - Web of Things Internet of Things Semantic Web Reasoners
N2  - 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.
ER  -

BLANCO SÁNCHEZ, José Miguel, Mouzhi GE a Tomáš PITNER. Modeling Inconsistent Data for Reasoners in Web of Things. Online. In \textit{Procedia Computer Science, Volume 192, 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021}. Szczecin: Elsevier, 2021, s.~1265-1273. ISSN~1877-0509. Dostupné z: https://dx.doi.org/10.1016/j.procs.2021.08.130.

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