A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications

Janjua, Naeem Khalid

doi:10.1007/978-3-319-03949-7

Cited by 2 publications

(5 citation statements)

References 81 publications

(121 reference statements)

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“…The use of Semantic Web tools for collaboration activities addressed some of the challenges such as information has meaning attached to it that makes it understandable across enterprise boundaries and facilitates data sharing and integration [14]. Additionally, platforms such as D2RQ enable applications to access an RDF-view of the underlying structured data i.e.…”

Section: Related Workmentioning

confidence: 99%

“…Representing knowledge in the form of ontologies has several advantages such as knowledge sharing, knowledge reuse and it helps in building automated systems using logic-based reasoning [14]. Semantic annotation is a process which makes use of one or several ontologies to tag the unstructured information.…”

Section: Semantic Annotation Of Unstructured Information Using Domainmentioning

confidence: 99%

“…A defeasible logic program has the form ψ= (Π, Δ), where Π and Δ stand for strict knowledge and defeasible knowledge, respectively. We extended DeLP for knowledge representation and reasoning in semantic web application [14,18]. We defined syntax and semantics for strict and defeasible rule representation in web-based applications.…”

Section: 31mentioning

confidence: 99%

See 2 more Smart Citations

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%

Section: Semantic Annotation Of Unstructured Information Using Domainmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

Section: Planning Modulementioning

confidence: 99%

“…In our previous work [8], we proposed a framework for incomplete and conflicting information representation and developed argumentation-based algorithms for reasoning over such information in Semantic Web applications. In this paper, we extend our previous work and apply it in the area of logistics and supply chain where planning for operational risk may need to be addressed at a spoke by considering the information from other multiple global and region specific locations.…”

Section: Introductionmentioning

confidence: 99%

Interleaving Collaborative Planning and Execution Along with Deliberation in Logistics and Supply Chain

Janjua

Hussain

Chang

2015

IFIP Advances in Information and Communication Technology

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Automated planning is a rich technical filed in Artificial Intelligence (AI) and most of the existing research focused on path finding methods in a compact state-transition system where planning is decoupled from execution. The introduction of the Web has led to increasing emphasis in AI on the development of planning algorithms for real-world applications where planning is distributed and plan generation can happen concurrently with plan execution. An example of one such real-world application is logistics and supply chain. In this paper, we envisage a collaborative planning and execution framework for logistics and supply chain operations. The framework supports human planners for a collaborative plan construction. The planning is interleaved with execution where new information collected during execution is used to refine the plan if required. Additionally, planning is defeasible in nature. During planning either conflicting viewpoints may arise among planners and/or the new information collected during execution may result in conflicts among planned tasks (situations). Deliberation module in the proposed framework provides a platform to human planners where they can start an argumentative dialogue to resolve the conflicts by establishing preferences between conflicting tasks. We use situation calculus to model the framework and propose an algorithm to interleave collaborative planning with execution along with deliberation support.

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A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications

Cited by 2 publications

References 81 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

Interleaving Collaborative Planning and Execution Along with Deliberation in Logistics and Supply Chain

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