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.

Ontology-Based Knowledge Capture and Sharing in Enterprise Organisations

2011 ◽  
pp. 200-225
Author(s):  
Aba-Sah Dadzie ◽  
Victoria Uren ◽  
Fabio Ciravegna
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
Semantic Knowledge ◽  
Sense Making ◽  
Knowledge Capture ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Rich Domain ◽  
User Acceptability ◽  
Knowledge Lifecycle

Despite years of effort in building organisational taxonomies, the potential of ontologies to support knowledge management in complex technical domains is under-exploited. The authors of this chapter present an approach to using rich domain ontologies to support sense-making tasks associated with resolving mechanical issues. Using Semantic Web technologies, the authors have built a framework and a suite of tools which support the whole semantic knowledge lifecycle. These are presented by describing the process of issue resolution for a simulated investigation concerning failure of bicycle brakes. Foci of the work have included ensuring that semantic tasks fit in with users’ everyday tasks, to achieve user acceptability and support the flexibility required by communities of practice with differing local sub-domains, tasks, and terminology.

A semantic-based approach for querying linked data using natural language

2016 ◽  
Vol 42 (6) ◽  
pp. 851-862 ◽  
Author(s):  
Mario Andrés Paredes-Valverde ◽  
Rafael Valencia-García ◽  
Miguel Ángel Rodríguez-García ◽  
Ricardo Colomo-Palacios ◽  
Giner Alor-Hernández
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Knowledge Bases ◽  
Semantic Knowledge ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Natural Language Interface ◽  
High Quality Information ◽  
Domain Independent

The semantic Web aims to provide to Web information with a well-defined meaning and make it understandable not only by humans but also by computers, thus allowing the automation, integration and reuse of high-quality information across different applications. However, current information retrieval mechanisms for semantic knowledge bases are intended to be only used by expert users. In this work, we propose a natural language interface that allows non-expert users the access to this kind of information through formulating queries in natural language. The present approach uses a domain-independent ontology model to represent the question’s structure and context. Also, this model allows determination of the answer type expected by the user based on a proposed question classification. To prove the effectiveness of our approach, we have conducted an evaluation in the music domain using LinkedBrainz, an effort to provide the MusicBrainz information as structured data on the Web by means of Semantic Web technologies. Our proposal obtained encouraging results based on the F-measure metric, ranging from 0.74 to 0.82 for a corpus of questions generated by a group of real-world end users.

Automating REA Policy Level Specifications with Semantic Web Technologies

2008 ◽  
Vol 22 (2) ◽  
pp. 249-277 ◽  
Author(s):  
Tod Sedbrook ◽  
Richard I. Newmark
Keyword(s):  
Semantic Web ◽  
Domain Knowledge ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Ontology Language ◽  
Model Complex ◽  
Application Ontology ◽  
Entity Relationship ◽  
Tools And Techniques ◽  
Machine Readable

ABSTRACT: Enterprise modelers require tools and techniques that consistently represent and logically apply domain knowledge. Current modeling approaches rely on entity relationship or unified modeling diagrams to represent semantic descriptions of business exchanges. However, it remains difficult to transform the implicit metadata, ontologies, and logic embedded in diagrams into a coherent form that can be interpreted by machines and delivered across the web. This study explores the uniting of machine processing capabilities of semantic web technologies with resource event agent (REA) enterprise ontologies to model complex multienterprise partnerships. Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) were used to model REA policies for a distributed e-commerce partnership selling nearly new vehicles. We combine a specialized REA application ontology with semantic technologies to direct multienterprise collaborations. We present a prototype that encodes the ontology's concepts within OWL and SWRL and explore these machine-readable representations within the context of a case study.

scholarly journals Semantic City Planning Systems (SCPS): A Literature Review

2022 ◽  
pp. 088541222110685
Author(s):  
Aurel von Richthofen ◽  
Pieter Herthogs ◽  
Markus Kraft ◽  
Stephen Cairns
Keyword(s):  
Literature Review ◽  
Semantic Web ◽  
City Planning ◽  
Semantic Knowledge ◽  
Research Literature ◽  
Knowledge Generation ◽  
Planning Systems ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Significant Research

This review focuses on recent research literature on the use of Semantic Web Technologies (SWT) in city planning. The review foregrounds representational, evaluative, projective, and synthetical meta-practices as constituent practices of city planning. We structure our review around these four meta-practices that we consider fundamental to those processes. We find that significant research exists in all four metapractices. Linking across domains by combining various methods of semantic knowledge generation, processing, and management is necessary to bridge gaps between these meta-practices and will enable future Semantic City Planning Systems.

Developing Semantic Web Applications

2013 ◽  
pp. 320-331
Author(s):  
Qazi Mudassar Ilyas
Keyword(s):  
Semantic Web ◽  
Web Application ◽  
World Wide ◽  
Web Applications ◽  
Ontology Development ◽  
Semantic Web Technologies ◽  
Agent Based ◽  
Web Technologies ◽  
The Common ◽  
Content Annotation

Semantic Web promises to make the content on World Wide Web machine understandable, thus enabling creation of an agent based web where automated programs can accomplish a variety of tasks that involve interpretation of the content and are not possible with existing web technologies. As Semantic Web technologies are being adopted by the industry at a rapid place, there is the need to develop awareness among developer community about components of typical Semantic Web applications and principles driving the design of these components. This chapter gives a brief introduction to the Semantic Web and components common to all Semantic Web applications. The common components include ontology development, content annotation, and information extraction using reasoning. Basic design principles and available alternative choices are highlighted for ontology construction and content annotation. Reasoning component is not discussed because stable reasoners are available such as RACER, FaCT++ and Pallet and any Semantic Web application can make use of them without having to reinvent the wheel. A running example is used to enhance understandability of the concepts described.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning
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