Semantic web and decision support systems

Antunes, Francisco; Freire, Manuela; Costa, João Paulo

doi:10.1080/12460125.2015.1087293

Cited by 12 publications

(9 citation statements)

References 40 publications

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“…In doing this we have the longer-time aim of utilising an autonomic approach to UTMC in particular, and road transport support in general, as developed in the EU's transport network ARTS 1 (McCluskey et al 2016). Results of the Network supported the idea of the construction of a semantic systems level for UTMC, consistent with work on integrating decision support within semantic technologies (Blomqvist 2014, Antunes et al 2016. Among the benefits of a higher level of information integration is a more joined up UTMC capability, where the flexibility of a knowledge level representation gives the opportunity to use intelligent agents to provide a more autonomous approach to tackle UTMC issues.…”

Section: Introductionsupporting

confidence: 69%

Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data

Antoniou

Batsakis

Davies

et al. 2019

Transportation Research Part C: Emerging Technologies

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Improving a city's infrastructure is seen as a crucial part of its sustainability, leading to efficiencies and opportunities driven by technology integration. One significant step is to support the integration and enrichment of a broad variety of data, often using state of the art linked data approaches. Among the many advantages of such enrichment is that this may enable the use of intelligent processes to autonomously manage urban facilities such as traffic signal controls. In this paper we document an attempt to integrate sets of sensor and historical data using a data hub and a set of ontologies for the data. We argue that access to such high level integrated data sources leads to the enhancement of the capabilities of an urban transport operator. We demonstrate this by documenting the development of a planning agent which uses such data as inputs in the form of logic statements, and when given traffic goals to achieve, outputs complex traffic signal strategies which help transport operators deal with exceptional events such as road closures or road traffic saturation. The aim is to create an autonomous agent which reacts to commands from transport operators in the face of exceptional events involving saturated roads, and creates, executes and monitors plans to deal with the effects of such events. We evaluate the intelligent agent in a region of a large urban area, under the direction of urban transport operators.

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Section: Introductionsupporting

confidence: 69%

Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data

Antoniou

Batsakis

Davies

et al. 2019

Transportation Research Part C: Emerging Technologies

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“…One of the prominent application areas within the development of DSS where Semantic Web technologies have been applied is in making the domain knowledge required for making decisions explicit (Power and Sharda, 2007;Bruaux and Saad, 2009;Rospocher and Serafini, 2012). Another prominent aspect where Semantic Web technologies are utilised is fulfilling the requirement of the DSS and decision maker to have access to heterogeneous data (Antunes et al, 2016;Bose and Sugumaran, 2007;Jung, 2009). There are many examples of Semantic Web-based DSS in the critical areas of military planning (Valiente et al, 2011;Louvieris et al, 2010), emergency decison support (Kai et al, 2008), legal processes (Paschke and Bichler, 2008;Beach et al, 2015), and the financial sector such as the consumer markets (Kwon, 2006) and financial services (Wang et al, 2004).…”

Section: Related Workmentioning

confidence: 99%

An ontological approach for pathology assessment and diagnosis of tunnels

Dimitrova

Mehmood

Thakker

et al. 2020

Engineering Applications of Artificial Intelligence

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Tunnel maintenance requires complex decision making, which involves pathology diagnosis and risk assessment, to ensure full safety while optimising maintenance and repair costs. A Decision Support System (DSS) can play a key role in this process by supporting the decision makers in identifying pathologies based on disorders present in various tunnel portions and contextual factors affecting a tunnel. Another key aspect is to identify which spatial stretches within a tunnel contain pathologies of similar kinds within neighbouring tunnel segments. This paper presents PADTUN, a novel intelligent decision support system that assists with pathology diagnosis and assessment of tunnels with respect to their disorders and diagnosis influencing factors. It utilises semantic web technologies for knowledge capture, representation, and reasoning. The core of PADTUN is a family of ontologies which represent the main concepts and relations associated with pathology assessment, and capture the decision process concerning tunnel maintenance. Tunnel inspection data is linked to these ontologies to take advantage of inference capabilities offered by semantic technologies. In addition, an intelligent mechanism is presented which exploits abstraction and inference capabilities. Thus PADTUN provides the world's first semantically based intelligent DSS for tunnel maintenance. PADTUN was developed by an interdisciplinary team of tunnel experts and knowledge engineers in real-world settings offered by the NeTTUN EU Project. An evaluation of the PADTUN system is performed using real-world tunnel data and diagnosis tasks. We show how the use of semantic technologies allows addressing the complex issues of tunnel pathology inferencing, aiding in, and matching transportation experts' expectations of decision support. The methodology is applicable to any linear transport structures, offering intelligent ways to aid with complex decision processes related to diagnosis and maintenance.

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“…Altogether, this means that this data is possibly tangled, incomplete and sometimes error-prone (Antunes, Freire, & Costa, 2016). In this case, semantics lie hidden in speech content created by the interveners and in order to reveal them, literature has focused on the study of computer mediated communications (S. , natural language processing, web content analysis (S. C. Kok & Rogers, 2016) or discourse analysis (Moser, Groenewegen, & Huysman, 2013), just to mention a few.…”

Section: Communication Language and Contextmentioning

confidence: 99%

“…(Robinson, Webber, & Eifrem, 2013). The writing style commonly used in these platforms has a pattern out of the ordinary that sometimes makes it incomprehensible to those who are not part of the conversation and/or that culture or context, thus making it very hard to make it "machine-understandable" (Antunes et al, 2016). This is because social actors often make mistakes, spelling and/or grammar, use abbreviations (ASAP = as soon as possible), symbols (:(= sad) "stretch" the words ("nooooo"), include links, images, audio and video (Bodomo, 2010).…”

mentioning

confidence: 99%

Multidisciplinary Perspectives on Human Capital and Information Technology Professionals

Antunes

Freire

Costa

2018

Advances in Information Security, Privacy, and Ethics

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Data collected from online social networks offers new possibilities for supporting organizations' daily activities. It is also common knowledge that the opinion exchange in online social networks provides a decisive contribution in decision making. It is, thus, necessary to review and bare present the motivations by which people engage in online social network and the ways in which firms can make use of such motivations in order to take advantage of online social networks as information sources for decisionmaking support. To do so, the authors of this chapter developed the decision-support social networks to extract such information, which encompasses the intertwined use of human interaction and network structure by combining human capabilities, social network analysis (SNA), and automatic data mining. In this chapter, a brief summary of the performed case studies over the proposed information model is also presented.

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Semantic web and decision support systems

Cited by 12 publications

References 40 publications

Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data

Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data

An ontological approach for pathology assessment and diagnosis of tunnels

Multidisciplinary Perspectives on Human Capital and Information Technology Professionals

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