Semantic information and knowledge integration through argumentative reasoning to support intelligent decision making

Janjua, Naeem Khalid; Hussain, Farookh Khadeer; Hussain, Omar Khadeer

doi:10.1007/s10796-012-9365-x

Cited by 26 publications

(19 citation statements)

References 43 publications

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“…a non-RDF database such as SQL databases, through a rule engine API's over the Web via the SPARQL Protocol and as Linked Data. Attempts have been made to represent incomplete and contradictory information in information systems such as DrProlog, Dr-Device, and Situated Courteous Logic [18]. These implementations only represent and handle individual conflicting preferences by defining priorities based on a single criterion between them before engaging in collaboration.…”

Section: Related Workmentioning

confidence: 99%

Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains

Janjua

Hussain

Chang

et al. 2017

Proceedings of the International Conference on Web Intelligence

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Effective business planning requires seamless access and intelligent analysis of information in its totality to allow the business planner to gain enhanced critical business insights for decision support. Current business planning tools provide insights from structured business data (i.e. sales forecasts, customers and products data, inventory details) only and fail to take into account unstructured complementary information residing in contracts, reports, user's comments, emails etc. In this article, a planning support system is designed and developed that empower business planners to develop and revise business plans utilizing both structured data and unstructured information conjointly. This planning system activity model comprises of two steps. Firstly, a business planner develops a candidate plan using planning template. Secondly, the candidate plan is put forward to collaborating partners for its revision interleaving deliberation. Planning interleaving deliberation activity in the proposed framework enables collaborating planners to challenge both a decision and the thinking that underpins the decision in the candidate plan. The planning system is modeled using situation calculus and is validated through a prototype development.

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Section: Related Workmentioning

confidence: 99%

Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains

Janjua

Hussain

Chang

et al. 2017

Proceedings of the International Conference on Web Intelligence

Self Cite

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“…Many possible decision-making algorithms may be employed in the predictive algorithms. On the most efficient case, intelligent decision-making [31] would be used. However, in this work, we have designed a more simple strategy.…”

Section: Decision-making and Predictive Solutionsmentioning

confidence: 99%

Predictive algorithms for mobility and device lifecycle management in Cyber-Physical Systems

Bordel

Rivera

Sánchez-Picot

2016

J Wireless Com Network

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Cyber-Physical Systems (CPS) are often composed of a great number of mobile, wireless networked devices. In order to guarantee the system performing, management policies focused on becoming transparent to high-level applications, the changes in the hardware platform have to be implemented. However, traditional reactive methodologies and basic proposed predictive solutions are not valid either due to the extremely dynamical behavior of CPS or because the high number of involved devices prevents fulfill the timing requirements. Therefore, in this paper, we present an advance predictive solution for managing the mobility and device lifecycle, being able to meet all requirements of CPS. The solution is based on an infinite loop, which calculates, in each iteration, a sequence of future system states using a CPS simulator and interpolation algorithms. Furthermore, an experimental validation is provided in order to determine the performing of the proposed solution.

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“…To provide interoperability and reusability of existing knowledge available on the Web (Kozłowski et al, 2011), the advisory system was embedded in the Semantic Web infrastructure (Janjua et al 2013, Weres et al 2013, Blomqvist 2014. Problem domain terms and relations were formally represented by ontologies to facilitate processes of inference essential in analyzing examined properties.…”

Section: Semantic Web Advisory System For Grain Handling Drying and mentioning

confidence: 99%

“…Such technologies are available for developing Web-based applications and can increase functionality, reliability, usability, maintainability and performance of decision support systems (Weres et al 2013). Integration of information from diverse Internet sources used to enhance traditional advisory systems, by adoption of the Semantic Web technologies, has been recently a strong trend for future system development (Janjua et al 2013, Blomqvist 2014. New perspectives for developing Semantic Web-based systems have also been opened by integrating software for traditional platforms and for smartphones (Esposito 2012, McWherter & Gowell 2012, Weres et al 2014.…”

Section: Introductionmentioning

confidence: 99%

Development of a new software application for supporting research of thermo-mechanical behavior of agri-food and forest products

Weres

Olek²,

Kujawa³

et al. 2015

JAI

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Keywords:Semantic Web, grain drying and storage, heat and water transport, edge detector and geometry modeler, FEM inverse problem solver A B S T R A C T Development of applications and services conforming to recent standards and perspectives of ICT is important for increasing productivity in agri-food and forestry sectors to deliver desired quantities of safe and quality products to end-users. Therefore a field of study combining two national curricula: informatics and agricultural engineering was developed by the Department of Applied Informatics of the Poznan University of Life Sciences. The scope of studies corresponds to the area of research conducted in the Department and focuses on development of Web-based advisory systems for agriculture and information systems supporting research in the agri-bioengineering. In the paper two exemplary systems are presented. They support analysis of thermo-mechanical behavior of agri-food and forest products subjected to heating, cooling, drying and storing operations. Development of the systems resulted in a significant increase in accuracy and efficiency of estimating properties of biomaterials and in more accurate predictions of the processes investigated.

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Semantic information and knowledge integration through argumentative reasoning to support intelligent decision making

Cited by 26 publications

References 43 publications

Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains

Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains

Predictive algorithms for mobility and device lifecycle management in Cyber-Physical Systems

Development of a new software application for supporting research of thermo-mechanical behavior of agri-food and forest products

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