PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain

Abstract

Abstract.A Decision Support System (DSS) in tunnelling domain deals with identifying pathologies based on disorders present in various tunnel portions and contextual factors affecting a tunnel. Another key area in diagnosing pathologies is to identify regions of interest (ROI). In practice, tunnel experts intuitively abstract regions of interest by selecting tunnel portions that are susceptible to the same types of pathologies with some distance approximation. This complex diagnosis process is often subjective and poorly scales across cases and transport structures. In this paper, we introduce PADTUN system, a working prototype of a DSS in tunnelling domain using semantic technologies. Ontologies are developed and used to capture tacit knowledge from tunnel experts. Tunnel inspection data are annotated with ontologies to take advantage of inferring capabilities offered by semantic technologies. In addition, an intelligent mechanism is developed to exploit abstraction and inference capabilities to identify ROI. PADTUN is developed in real-world settings offered by the NeTTUN EU Project and is applied in a tunnel diagnosis use case with Société Nationale des Chemins de Fer Français (SNCF), France. We show how the use of semantic technologies allows addressing the complex issues of pathology and ROI inferencing and matching experts expectations of decision support.

An Internet of Things‐enabled decision support system for circular economy business model

“…According to Blomqvist, 24 one of the most basic needs of DSS model is easier and more flexible information integration methods. Semantic technologies are proven to support such information integration needs for building DSS 42,43 . Semantic technologies including Resource Description Framework/Web Ontology Language (RDF/OWL) 44,45 and Linked Data 46 provide a mechanism for formal data representation in DSS systems 47 .…”

An ontological approach for pathology assessment and diagnosis of tunnels

“…This paper is a significantly extended version of a paper which was awarded the Best In-Use paper at the Extended Semantic Web Conference ESWC2015 (Thakker et al, 2015) we have expanded the detail of the main components, have provided a systematic description of the methodology so that it can be followed in broader domains, and have added a detailed evaluation with real world tunnel data. The paper is structured as follows.…”

User Interaction with Linked Data

“…In parallel with engineering solutions for the seamless integration of linked data, efforts have been made to facilitate user interaction with such data to support smart city goals of helping users to learn and make sense of complex and heterogeneous data. There are arguments that linked data can be utilised to enable user-oriented exploratory search systems for the future systems including smart city applications (Thakker, Dimitrova, Cohn, & Valdes, 2015;Waitelonis, Knuth, Wolf, Hercher, & Sack, 2010). Stepping on such arguments, this paper aims to apply a systematic experimental methodology to examine user behaviour when interacting with a linked data browser to learn lessons to build better user-oriented exploratory search systems as smart city applications.…”