Human-Generated Web Data Disentanglement for Complex Event Processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126674" target="_blank" >RIV/00216224:14330/22:00126674 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.procs.2022.09.190" target="_blank" >http://dx.doi.org/10.1016/j.procs.2022.09.190</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2022.09.190" target="_blank" >10.1016/j.procs.2022.09.190</a>

Result language

angličtina

Original language name

Human-Generated Web Data Disentanglement for Complex Event Processing

Original language description

In social media, human-generated web data from real-world events have become exponentially complex due to the chaotic and spontaneous features of natural language. This may create an information overload for the information consumers, and in turn not easily digest a large amount of information in a limited time. To tackle this issue, we propose to use Complex Event Processing (CEP) and semantic web reasoners to disentangle the human-generated data and present users with only relevant and important data. However, one of the key obstacles is that the human-generated data can have no structured meaning sometimes even for the speaker, hindering the output of the CEP. Therefore, in order to adapt to the CEP inputs, we present two different techniques that allow for the discrimination and digestion of value of human-generated data. The first one relies on the Variable Sharing Property that was developed for relevance logics, while the second one is based on semantic equivalence and natural language processing. The results can be given to CEP for further semantic reasoning and generate digested information for users.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

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

Article name in the collection

26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022

ISBN

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ISSN

1877-0509

e-ISSN

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Number of pages

9

Pages from-to

1341-1349

Publisher name

Elsevier

Place of publication

Verona, Italy

Event location

Verona, Italy

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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