Data Information Interoperability Model for IoT-enabled Smart Water Networks

Singh, Mandeep and Wu, Wenyan and Rizou, Stamatia and Vakaj, Edlira (2022) Data Information Interoperability Model for IoT-enabled Smart Water Networks. In: 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 26th -28th January 2022, Online.

Data_Information_Interoperability_Model_for_IoT_enabled_Smart_Water_Networks_submitted.pdf - Accepted Version

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Syntactic and semantic interoperability is a funda­mental requirement for the success of the Internet of Things (loT)-enabled Smart Water Networks (SWNs). Still, whilst con­suming publicly accessible IoT data, the syntactic and semantic representation of the collected data poses challenges for the success of pervasive and ubiquitous sensing in the water domain. Challenges include the heterogeneity of data representation formats, semantic models, and the adoption of domain-specific standards and ontologies. These challenges emphasise the re­quirement for enhanced interoperability in SWNs. To address this, we propose a Data and Information Interoperability Model (DIIM) by combining the Semantic Web technologies, widely known for overcoming interoperability issues, and Model-driven architecture (MDA) approach. DIIM facilitates syntactic inter­operability by serialization conversion and adoption of domain­specific standards as well as semantic interoperability of metadata by aligning the semantic models of IoT and Smart Water Network (SWN) applications. Furthermore, it automatically creates an ontology as a semantic model if it is missing and adds references to existing domain-specific ontologies as annotation in their models. We evaluate DIIM methodology by applying it to a real-world use case of IoT-enabled applications for water quality monitoring.

Item Type: Conference or Workshop Item (Paper)
12 December 2021Accepted
26 January 2022Published
Uncontrolled Keywords: Data Interoperability, Syntactic harmonization, Semantic Model Generation and Alignment, Smart Water Net­works, IoT/WoT, Ontology, Representation Standard, Water Quality Monitoring
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
CAH11 - computing > CAH11-01 - computing > CAH11-01-02 - information technology
Divisions: Faculty of Computing, Engineering and the Built Environment > College of Engineering
Depositing User: Wenyan Wu
Date Deposited: 01 Mar 2022 13:15
Last Modified: 20 Jun 2024 11:50

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