Assessing Quality in the Web of Linked Sensor Data

Baillie, Chris; Edwards, Peter; Pignotti, Edoardo

doi:10.1609/aaai.v25i1.8044

Cited by 2 publications

(1 citation statement)

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“…PROV-O is composed of domainindependent and general-purpose concepts. Its most important reason for being created as a general-purpose ontology is to produce a dictionary that can cover different needs and to encourage studies addressing provenance [14][15][16][17][18]. It represents tracking changes that occur during the creation or updating of sources on the Web.…”

Section: Provenance Ontologiesmentioning

confidence: 99%

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

SOYGAZİ,

TUĞLULAR,

DİKENELLİ

2023

EJT

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The need to track the origin of shared data/datasets has become apparent, highlighting the necessity of monitoring factors such as trust related to the data/datasets with the widespread use of social media. The concept of Linked Data Space needs to be considered in conjunction with organizations and their provenance with respect to their origin assuming that the shared data is semantic and considering organizations' access to relevant semantic data. In this context, this study elaborates on the concept of Linked Data Space, introducing the terms Internal Data and External Data to the literature. An architecture for Linked Data Space and data management for organizations is defined in addition to these concepts. Furthermore, the study explains how organizations can access External Data in the Linked Data Space and how provenance metadata and ontologies will be created. These developed methods are illustrated in the News Aggregator Scenario, a main scenario for provenance, demonstrating how it can work in a use case.

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