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.

Knowledge Management Portals for Empowering Citizens and Societies

2011 ◽  
pp. 42-63
Author(s):  
Hakikur Rahman
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Semantic Web ◽  
Emerging Technologies ◽  
Future Research ◽  
Common People ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Intellectual Content ◽  
Huge Data

Knowledge management is not a simple technology driven modus operandi, rather it is policy driven issue that is intermingled with technology, decision, management and intellectuality. Along this route, empowering common citizens utilizing knowledge development utilities is a challenge to the researchers and development practitioners. Furthermore, dissemination of intellectual content on the Web for public view, their understanding, capacity development, and specifically for being utilized as a tool to increase their social, educational, political and economic ability is by far the most difficult part of the system. The process complicates further, when emerging technologies are being adopted to provide the solution, especially for the common people of the community with their social and political implications. However, in recent years, knowledge management has become a new branch of system management for achieving breakthrough in entrepreneurship, social and governance performance synergizing people, process, technology and policy. At the same time, emerging technologies like, data mining are being utilized for carrying out intelligent decision among dispersed source of huge data. Semantic Web Technologies are also being incorporated in the decision making processes. This chapter is focusing on knowledge management issues for developing knowledge management portals to empower citizens and societies. In this context, the chapter introduced critical aspects of knowledge management perspectives, justified establishment of knowledge management portals acting as a tool of empowerment, provided insight on data mining as a technology of implementation, throws a solution by introducing Semantic Web Technologies as an essential technology for establishing knowledge management portals, puts forward contemporary challenges during the establishment of knowledge management portal, illustrated a few cases that are acting as knowledge management portals, and concluded before giving a few hints on future research issues for empowering common element of the society.

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.

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.

Personalization Based on Semantic Web Technologies

2009 ◽  
pp. 52-75 ◽  
Author(s):  
Vassileios Tsetsos
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
User Preferences ◽  
Main Topic ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Distributed Knowledge ◽  
Web Based ◽  
Web Technologies ◽  
Knowledge Based

Personalization techniques provide optimized access to content and services, based on the preferences and the characteristics of each individual user. Nowadays many applications, either Web-based or not, call for personalized behavior. Obviously, such behavior leads to an increased demand for knowledge management, since personalization is based on user profiles, user preferences, usage policies, and other knowledge components. The main topic of this chapter is the investigation of how well Semantic Web technologies apply to personalized applications. Semantic Web is a relatively new platform for developing (distributed) knowledge-based applications that has gained great popularity in previous years. Hence, this chapter surveys the most prominent techniques for personalization in the context of the Semantic Web. It discusses and compares different approaches to architectural and engineering techniques and other issues relevant to this hot topic. The chapter provides foundational knowledge on this topic, as well as discussion on some key implementation issues.

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