ILP Meets Knowledge Engineering: A Case Study

2005 ◽  
pp. 209-226 ◽  
Author(s):  
Francesca A. Lisi ◽  
Floriana Esposito
Keyword(s):  
Knowledge Engineering

scholarly journals Uncertainty modeling process for semantic technology

2016 ◽  
Vol 2 ◽  
pp. e77 ◽  
Author(s):  
Rommel N. Carvalho ◽  
Kathryn B. Laskey ◽  
Paulo C.G. Da Costa
Keyword(s):  
Knowledge Engineering ◽  
Uncertainty Modeling ◽  
Domain Model ◽  
Proof Of Concept ◽  
Semantic Technology ◽  
Modeling Process ◽  
Ontology Language ◽  
Domain Semantics ◽  
Probabilistic Ontology

The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature has been growing on formalisms for representing uncertainty in ontologies, there remains little guidance in the knowledge engineering literature for how to design probabilistic ontologies. To address the gap, this paper presents the Uncertainty Modeling Process for Semantic Technology (UMP-ST), a new methodology for modeling probabilistic ontologies. To explain how the methodology works and to verify that it can be applied to different scenarios, this paper describes step-by-step the construction of a proof-of-concept probabilistic ontology. The resulting domain model can be used to support identification of fraud in public procurements in Brazil. While the case study illustrates the development of a probabilistic ontology in the PR-OWL probabilistic ontology language, the methodology is applicable to any ontology formalism that properly integrates uncertainty with domain semantics.

Better Knowledge Management Through Knowledge Engineering: A Case Study in Drilling Optimisation

2001 ◽  
pp. 63-76 ◽  
Author(s):  
Alun Preece ◽  
Alan Flett ◽  
Derek Sleeman ◽  
David Curry ◽  
Nigel Meany ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Knowledge Engineering

A Methodology for Building Knowledge Memory Within the Handicraft Sector

2019 ◽  
Vol 15 (3) ◽  
pp. 45-65 ◽  
Author(s):  
Imane El Amrani ◽  
Abdelmjid Saka ◽  
Nada Matta ◽  
Taoufik Ouazzani Chahdi
Keyword(s):  
Knowledge Engineering ◽  
Multimedia System ◽  
Methodological Framework ◽  
Know How ◽  
The World ◽  
Knowledge Preservation ◽  
Knowledge Memory ◽  
Interactive Multimedia System ◽  
Do So

The Moroccan handicraft is threatened by the loss of its knowledge and several authorities are calling to safeguard this cultural heritage through a detailed transcription and development of an interactive multimedia system. In response to this call, this article represents a first step in addressing this need. It provided a basic methodology for building a craft memory which will be considered as a benchmark for handicraft knowledge preservation. The study focuses on identifying the most critical and vulnerable know-how and modelling the knowledge which needs to be retained. To do so, a methodological framework is proposed and validated through a case study on the Moroccan zellige craft. The methods used here are derived from the world of Knowledge Management (KM) and Knowledge Engineering (KE); in particular, MASK method, GAMETH and M3C. Nevertheless, their systematic application is not perfectly adapted, it needs to be in accordance to the craft characteristics and the artisan's profile which is the key point of the current study.

Capturing expertise by rule induction

1987 ◽  
Vol 2 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Brian P. Bloomfield
Keyword(s):  
Expert System ◽  
Knowledge Engineering ◽  
Current Knowledge ◽  
Software Tool ◽  
Rule Induction ◽  
System Construction ◽  
Selection Of

AbstractThis paper examines the claim that machine induction can alleviate the current knowledge engineering bottleneck in expert system construction. It presents a case study of the rule induction software tool known as Expert-Ease and proposes a set of criteria which might guide the selection of appropriate domains.

Goal-driven automation of a deep space communications station: a case study in knowledge engineering for plan generation and execution

1998 ◽  
Vol 15 (3) ◽  
pp. 141-156
Author(s):  
Randall W. Hill, Jr. ◽  
Steve A. Chien ◽  
Kristina V. Fayyad
Keyword(s):  
Knowledge Engineering ◽  
Deep Space ◽  
Space Communications ◽  
Plan Generation

Visual Design of coherent Technology-Enhanced Learning Systems

2011 ◽  
pp. 135-161
Author(s):  
Thierry Nodenot ◽  
Pierre Laforcade ◽  
Xavier Le Pallec
Keyword(s):  
Instructional Design ◽  
Knowledge Engineering ◽  
Technology Enhanced Learning ◽  
Formal Representation ◽  
Design Languages ◽  
The One ◽  
Computer Problem ◽  
Functional Components ◽  
Enhanced Learning

Visual instructional design languages currently provide notations for representing the intermediate and final results of a knowledge engineering process. As some languages particularly focus on the formal representation of a learning design that can be transformed into machine interpretable code (i.e., IML-LD players), others have been developed to support the creativity of designers while exploring their problem-spaces and solutions. This chapter introduces CPM (Computer Problem-based Metamodel), a visual language for the instructional design of Problem-Based Learning (PBL) situations. On the one hand, CPM sketches of a PBL situation can improve communication within multidisciplinary ID teams; on the other hand, CPM blueprints can describe the functional components that a Technology-Enhanced Learning (TEL) system should offer to support such a PBL situation. We first present the aims and the fundamentals of CPM language. Then, we analyze CPM usability using a set of CPM diagrams produced in a case study in a ‘real-world’ setting

A Case Study in Building Semantic eRecruitment Applications

2009 ◽  
pp. 83-104
Author(s):  
Elena Simperl ◽  
Malgorzata Mochol
Keyword(s):  
Best Practices ◽  
Knowledge Engineering ◽  
Enterprise Application Integration ◽  
Enterprise Application ◽  
Enterprise Search ◽  
Speed Up ◽  
Practical Experiences ◽  
Industrial Level ◽  
Integration Data

Ontology-based technology has achieved a level of maturity which allows it to become a serious candidate for the resolution of several major IT problems in contemporary businesses, be that enterprise application integration, data modeling or enterprise search. As it implies considerable additional efforts, building and deploying ontologies at industrial level has to be supported by elaborated methodologies, methods and tools, which are available to a large extent and at feasible quality to date. However, sophisticated methods alone are not sufficient for the industrial purposes. They have to be accompanied by extended case studies and comprehensive best practices and guidelines, which are of benefit in particular in real-world situations and in the absence of deep knowledge engineering expertise. In this chapter we report our practical experiences in building an ontology-based eRecruitment system. Our case study confirms previous findings in ontology engineering literature: (1) building ontology-based systems is still a tedious process due to the lack of proved and tested methods and tools supporting the entire life cycle of an ontology; and (2) reusing existing ontologies within new application contexts is currently related to efforts potentially comparable to the costs of a new implementation. We take this study a step further and use the findings to further elaborate existing best practices towards a list of recommendations for the eRecruitment domain, which, far from claiming completeness, might speed-up the development of similar systems.

Visual Design of coherent Technology-Enhanced Learning Systems

2008 ◽  
pp. 252-279
Author(s):  
Thierry Nodenot ◽  
Pierre Laforcade ◽  
Xavier Le Pallec
Keyword(s):  
Instructional Design ◽  
Knowledge Engineering ◽  
Technology Enhanced Learning ◽  
Formal Representation ◽  
Design Languages ◽  
The One ◽  
Computer Problem ◽  
Functional Components ◽  
Enhanced Learning

Visual instructional design languages currently provide notations for representing the intermediate and final results of a knowledge engineering process. As some languages particularly focus on the formal representation of a learning design that can be transformed into machine interpretable code (i.e., IML-LD players), others have been developed to support the creativity of designers while exploring their problem-spaces and solutions. This chapter introduces CPM (Computer Problem-based Metamodel), a visual language for the instructional design of Problem-Based Learning (PBL) situations. On the one hand, CPM sketches of a PBL situation can improve communication within multidisciplinary ID teams; on the other hand, CPM blueprints can describe the functional components that a Technology-Enhanced Learning (TEL) system should offer to support such a PBL situation. We first present the aims and the fundamentals of CPM language. Then, we analyze CPM usability using a set of CPM diagrams produced in a case study in a ‘real-world’ setting

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