Exploring Semantic Web Technologies for Product Family Modeling

2004 ◽  
Author(s):  
Jyotirmaya Nanda ◽  
Henri J. Thevenot ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara ◽  
Steven B. Shooter
Keyword(s):  
Semantic Web ◽  
Product Design ◽  
Product Family ◽  
Ontology Development ◽  
Product Family Design ◽  
Product Representation ◽  
Semantic Web Technologies ◽  
Design Representation ◽  
Ontology Language ◽  
Single Use

By sharing product design information across a family of products, companies can increase the flexibility and responsiveness of their product realization process while shortening lead-times and reducing cost. This paper describes a preliminary attempt at using semantic web paradigm, especially the Web Ontology Language (OWL), for product family information management. An overview of the ongoing work with Semantic Web is also presented. Formal product representation using OWL can not only store the structure of the product family but also help in capturing the evolution of different components of the product family. As an illustration, a group of single-use cameras, containing several products from the Kodak single-use camera family, is represented in OWL format. The methodology of ontology development that can support product family design is discussed in detail. Product family design representation using OWL promotes better learning across products and reduced development time, system complexity, and product design lead-time.

A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language

2005 ◽  
Vol 6 (2) ◽  
pp. 103-113 ◽  
Author(s):  
Jyotirmaya Nanda ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara ◽  
Steven B. Shooter
Keyword(s):  
Formal Concept Analysis ◽  
Product Family ◽  
Concept Analysis ◽  
Ontology Development ◽  
Formal Concept ◽  
Web Ontology Language ◽  
Product Family Design ◽  
Ontology Language ◽  
Development Costs ◽  
Finite Set

The use of ontologies for information sharing is well documented in the literature, but the lack of a comprehensive and systematic methodology for constructing product ontologies has limited the process of developing ontologies for design artifacts. In this paper we introduce the Product Family Ontology Development Methodology (PFODM), a novel methodology to develop formal product ontologies using the Semantic Web paradigm. Within PFODM, Formal Concept Analysis (FCA) is used first to identify similarities among a finite set of design artifacts based on their properties and then to develop and refine a product family ontology using Web Ontology Language (OWL). A family of seven one-time-use cameras is used to demonstrate the steps of the PFODM to construct such an ontology. The benefit of PFODM lies in providing a systematic and consistent methodology for constructing ontologies to support product family design. The resulting ontologies provide a hierarchical conceptual clustering of related design artifacts, which is particularly advantageous for product family design where parts, processes, and most important, information is intentionally shared and reused to reduce complexity, lead-time, and development costs. Potential uses of the resulting ontologies and FCA representations within product family design are also discussed.

Data Confidentiality on the Semantic Web

2008 ◽  
pp. 3309-3320
Author(s):  
Csilla Farkas
Keyword(s):  
Semantic Web ◽  
Formal Semantics ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Inference Problem ◽  
Web Technologies ◽  
Ontology Language ◽  
Future Research Directions ◽  
Description Framework ◽  
Resource Description

This chapter investigates the threat of unwanted Semantic Web inferences. We survey the current efforts to detect and remove unwanted inferences, identify research gaps, and recommend future research directions. We begin with a brief overview of Semantic Web technologies and reasoning methods, followed by a description of the inference problem in traditional databases. In the context of the Semantic Web, we study two types of inferences: (1) entailments defined by the formal semantics of the Resource Description Framework (RDF) and the RDF Schema (RDFS) and (2) inferences supported by semantic languages like the Web Ontology Language (OWL). We compare the Semantic Web inferences to the inferences studied in traditional databases. We show that the inference problem exists on the Semantic Web and that existing security methods do not fully prevent indirect data disclosure via inference channels.

scholarly journals Decentralized case-based reasoning and Semantic Web technologies applied to decision support in oncology

2013 ◽  
Vol 28 (4) ◽  
pp. 425-449 ◽  
Author(s):  
Mathieu d'Aquin ◽  
Jean Lieber ◽  
Amedeo Napoli
Keyword(s):  
Semantic Web ◽  
Description Logic ◽  
Medical Decision ◽  
Case Based Reasoning ◽  
Medical Problems ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Ontology Language ◽  
Concept Classification ◽  
Case Based

AbstractThis article presents the Kasimir system dedicated to decision knowledge management in oncology and which is built on top of Semantic Web technologies, taking benefit from standard knowledge representation formalisms and open reasoning tools. The representation of medical decision protocols, in particular for breast cancer treatment, is based on concepts and instances implemented within the description logic OWL DL (Web ontology language description logic). The knowledge units related to a protocol can then be applied for solving specific medical problems, using instance or concept classification. However, the straight application of a protocol is not always satisfactory, for example, because of contraindications, necessitating an adaptation of the protocol. This is why the principles and methods of case-based reasoning (CBR) in the framework of DLs have been used. In addition, the domain of oncology is complex and involves several specialties, for example, surgery and chemotherapy. This complexity can be better undertaken with a viewpoint-based representation of protocols and viewpoint-based reasoning, for either application or adaptation of the protocols. Accordingly, a distributed DL has been used for representing a viewpoint-based protocol. The application and the adaptation of the viewpoint-based protocol to medical cases is carried out using global instance classification and decentralized CBR.

A Policy-Based Team Collaboration

2012 ◽  
Vol 8 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Jae W. Hwang ◽  
Shmuel Rotenstreich
Keyword(s):  
Semantic Web ◽  
Final Decision ◽  
Semantic Web Technologies ◽  
Team Collaboration ◽  
Rule Based ◽  
Semantic Query ◽  
Web Technologies ◽  
Negotiation Protocol ◽  
Coordination Model ◽  
Ontology Language

This paper presents a policy-based coordination model for team collaboration. Team collaboration requires an agreement that utilizes a negotiation protocol to find candidate teams and to decide on a collaboration partner. The decision relies on policies that are rules governing team situations in an organization. Contexts and rules allow reasoning about team situations. The authors describe a policy-based negotiation protocol. It introduces an ontology-based whiteboard component that uses the Semantic Web technologies such as Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and Semantic Query-enhanced Web Rule Language (SQWRL). The negotiation protocol facilitates whiteboards as a computational foundation for awareness of situations and policies, and it assists with the final decision using a measure based on the combination of rule-based queries and functions.

A Platform Selection Approach Based on Product Family Ontology Modeling

2011 ◽  
Author(s):  
Soon Chong Johnson Lim ◽  
Ying Liu ◽  
Wing Bun Lee
Keyword(s):  
Product Family ◽  
Product Family Design ◽  
Laptop Computer ◽  
Product Representation ◽  
Faceted Search ◽  
Design Concepts ◽  
Selection Approach ◽  
Current Product ◽  
Representation Scheme ◽  
Future Work

Product family design is probably the most widely adopted strategy for product realization in mass customization paradigm. With the ever-increasing product offerings in consumer market, current product representation schemes are restricted by their limited capability in handling multiple conceptual relationships amongst product components and rich semantic annotations associated with different design concepts. Previously, we have studied and proposed an ontology-based information representation scheme for product family design, which offers a promising solution to address the aforementioned challenges. In this study, we suggest a new commonality metric and a faceted platform selection approach, which are both created for ontology-based product family representation models. Utilizing this metric and faceted search, we discuss the advantages of our approach compared to existing modeling possibilities. We also exemplify the applications of our proposal towards an optimal configuration of product variants using a case study of four laptop computer families. Finally, we conclude this paper with some indications for future work.

OWL-Based Description for Agent

2011 ◽  
Vol 217-218 ◽  
pp. 1218-1223
Author(s):  
Gang Wang ◽  
Jie Lin ◽  
Qing Qi Long ◽  
Zhi Juan Hu
Keyword(s):  
Semantic Web ◽  
Early Development ◽  
Formal Specification ◽  
Ontology Development ◽  
Web Ontology Language ◽  
Development Stages ◽  
Ontology Language ◽  
Development Tools ◽  
Web Community ◽  
The Web

This paper presents a detailed formal specification of agents and their properties and abilities,based on the Web Ontology Language (OWL). It allows an agent to be specified entirely using standard mark-up languages from the Semantic Web community, namely RDF, RDF Schemaand OWL. The basic agent components are identified and their implementation using ontology development tools is described.The description improves consistency, interoperability and maintainability of agent program. Therefore,the design errors in the early development stages could be efficiently detected and avoided.

An Ontology Based Representation of Software Design Patterns

2011 ◽  
pp. 258-279 ◽  
Author(s):  
Jens Dietrich ◽  
Chris Elgar
Keyword(s):  
Software Engineering ◽  
Semantic Web ◽  
Design Patterns ◽  
Web Ontology Language ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Ontology Language ◽  
Software Design Patterns ◽  
Formal Definitions ◽  
The Web

This chapter introduces an approach to define Design patterns using semantic Web technologies. For this purpose, a vocabulary based on the Web ontology language OWL is developed. Design patterns can be defined as RDF documents instantiating this vocabulary, and can be published as resources on standard Web servers. This facilitates the use of patterns as knowledge artefacts shared by the software engineering community. The instantiation of patterns in programs is discussed, and the design of a tool is presented that can x-ray programs for pattern instances based on their formal definitions.

scholarly journals Design and Innovative Methodologies in a Semantic Framework

2007 ◽  
Author(s):  
Rui Fernandes ◽  
Ian Grosse ◽  
Sundar Krishnamurty ◽  
Jack Wileden
Keyword(s):  
Semantic Web ◽  
Engineering Design ◽  
Domain Knowledge ◽  
Functional Model ◽  
Semantic Knowledge ◽  
Ontology Development ◽  
Practical Implementation ◽  
Semantic Web Technologies ◽  
Semantic Framework ◽  
Web Technologies

Significant expenditure and effort is devoted to the never ending search for reduced product development lifecycle time and increased efficiency. The development of Semantic Web technologies promises a future where knowledge interchange is done seamlessly in open distributed environments. This paper illustrates how Semantic Web technologies in their current state of development can be effectively used to deploy an infrastructure supporting innovation principles and the engineering design processes. A mechanical design was chosen to model the initial phase of a design project using semantic ontologies. This included a set of design requirements, creating a functional model, and making use of the Theory of Inventive Problem Solving (TIPS). The ontology development strategy is built on a combination of larger domain knowledge ontologies and simple process ontologies. Linked user requirements, engineering design, and functional modeling ontologies facilitated the application of TIPS through a set of semantic rules to generate design recommendations. The developed semantic knowledge structure exemplifies a practical implementation of a functional model which served as a record of the design process and as a platform from which to gain additional usefulness out of the stored information.

scholarly journals Semantic Web in the expansion of E Commerce

2019 ◽  
Vol 8 (3) ◽  
pp. 3820-3827
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Search Engines ◽  
Web Ontology Language ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Semantic Enrichment ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description

This study focuses on the enhancing the potential of the e-commerce websites with various Semantic web technologies. The involvement of semantic enrichment gives more meaning to the data and makes content more easily discoverable by both search engines and users. Daily thousands of people try searching for a product they are willing to buy and due to the system inefficiency, customers waste a lot of their precious time and resources and also there are a lot of problems with the current e-commerce systems. So, semantic web has certain technologies/languages specifically established for data, i.e. RDF (Resource description framework), OWL (Web ontology language) and XML, etc. which can help overcome the problems and accelerate the business to a higher level where e-commerce websites will be playing an important role.

Data Confidentiality on the Semantic Web

2006 ◽  
pp. 73-90 ◽  
Author(s):  
Csilla Farkas
Keyword(s):  
Semantic Web ◽  
Formal Semantics ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Inference Problem ◽  
Web Technologies ◽  
Ontology Language ◽  
Future Research Directions ◽  
Description Framework ◽  
Resource Description

This chapter investigates the threat of unwanted Semantic Web inferences. We survey the current efforts to detect and remove unwanted inferences, identify research gaps, and recommend future research directions. We begin with a brief overview of Semantic Web technologies and reasoning methods, followed by a description of the inference problem in traditional databases. In the context of the Semantic Web, we study two types of inferences: (1) entailments defined by the formal semantics of the Resource Description Framework (RDF) and the RDF Schema (RDFS) and (2) inferences supported by semantic languages like the Web Ontology Language (OWL). We compare the Semantic Web inferences to the inferences studied in traditional databases. We show that the inference problem exists on the Semantic Web and that existing security methods do not fully prevent indirect data disclosure via inference channels.

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