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This unique book succinctly summarizes the need to measure how
ontologies (one of the building blocks of the Semantic Web) are
currently being utilized, providing insights for various
stakeholders. Where possible it improves and reuses terms in
existing vocabularies/ontologies, as recommended by the Linked Data
community. Recent advances in the Semantic Web have led to a
proliferation of Resource Description Framework (RDF) data, which
employ ontologies to semantically describe the information on the
Web making it equally understandable for both humans and machines.
However, to create a network effect, it is important that selective
ontologies are used by more data publishers to improve the value of
that ontology. For this to happen, it is vital to discover what is
being used from an ontology to semantically annotate the
information on the Web specific to a given domain. Answers to such
basic but crucial questions can only be achieved by ascertaining
how ontologies in the current semantic web are being utilized and
adopted. The proposed frameworks to obtain such insights are
explained with real-world examples to provide a clear and detailed
description of ontology usage analysis. Both theoretical and
practical, the book is of value to academics and professionals
working in industry. Specifically, it is of primary interest to
researchers, graduate students and practitioners in the area of the
Semantic Web and its various real-world applications.
Risk and reward are always foremost in the determination of
investment decisions and business transactions. Advances in the
area of Information Communication Technologies (ICT) have enabled
the development of new business paradigms. Such paradigms involve
transactions taking place between loosely connected parties, often
totally or partially unknown to one another. One important concept
required to ensure such transactions are successful is
transactional risk. The importance of doing this has been
demonstrated in recent financial crisis. This book is unique in
simultaneously taking into account the likelihood of an event
occurring and its financial impact and provides an integrated
discussion of the process of transactional risk identification,
assessment, evaluation, management and recording in these emerging
domains. It provides a detailed and clear exposition of the
importance of transactional risk before detailing for its
assessment and evaluation. The scope of the book is theoretical and
practical and as such it will have a broad market both within
academia and industry. Specifically this book should be of primary
interest to researchers, graduate students and practitioners in the
area of developing business intelligence techniques and their
application in various real world applications.
Recent years have seen the development of two significant trends
namely: the adoption of some Traditional Chinese Medicine Practices
into mainstream Allopathic Western Medicine and the advent of the
internet and broad band networks leading to an increased interest
in the use of Telemedicine to deliver medical services. In this
book, we see the convergence of these two trends leading to a
semantically-based TCM Telemedicine system that utilizes an
ontology to provide sharable knowledge in the TCM realm to achieve
this. The underpinning research required the development of a
three-layer architecture and an Ontology of the TCM knowledge. As
TCM knowledge like all medical knowledge is not frozen in time it
was important to develop an approach that would allow evolution of
the Ontology when new evidence became available. In order for the
system to be practically grounded it was important to work with an
industry partner PuraPharm Group/HerbMiners Informatics Limited.
This partnership was initiated through Professor Allan Wong and the
Chairman of PuraPharm Group Mr. Abraham Chan. This led to the
system being utilized in more than 20 Mobile Clinics in Hong Kong
and 300 Hospitals in China. In order for these different
deployments of the system to be coherent with the main core
Ontology, it was necessary for us to develop an Ontology Driven
Software System Generation approach.
During the last two decades, the idea of Semantic Web has received
a great deal of attention. An extensive body of knowledge has
emerged to describe technologies that seek to help us create and
use aspects of the Semantic Web. Ontology and agent-based
technologies are understood to be the two important technologies
here. A large number of articles and a number of books exist to
describe the use individually of the two technologies and the
design of systems that use each of these technologies individually,
but little focus has been given on how one can - sign systems that
carryout integrated use of the two different technologies. In this
book we describe ontology and agent-based systems individually, and
highlight advantages of integration of the two different and
complementary te- nologies. We also present a methodology that will
guide us in the design of the - tegrated ontology-based multi-agent
systems and illustrate this methodology on two use cases from the
health and software engineering domain. This book is organized as
follows: * Chapter I, Current issues and the need for ontologies
and agents, describes existing problems associated with
uncontrollable information overload and explains how ontologies and
agent-based systems can help address these - sues. * Chapter II,
Introduction to multi-agent systems, defines agents and their main
characteristics and features including mobility, communications and
collaboration between different agents. It also presents different
types of agents on the basis of classifications done by different
authors.
Recent years have seen the development of two significant trends
namely: the adoption of some Traditional Chinese Medicine Practices
into mainstream Allopathic Western Medicine and the advent of the
internet and broad band networks leading to an increased interest
in the use of Telemedicine to deliver medical services. In this
book, we see the convergence of these two trends leading to a
semantically-based TCM Telemedicine system that utilizes an
ontology to provide sharable knowledge in the TCM realm to achieve
this. The underpinning research required the development of a
three-layer architecture and an Ontology of the TCM knowledge. As
TCM knowledge like all medical knowledge is not frozen in time it
was important to develop an approach that would allow evolution of
the Ontology when new evidence became available. In order for the
system to be practically grounded it was important to work with an
industry partner PuraPharm Group/HerbMiners Informatics Limited.
This partnership was initiated through Professor Allan Wong and the
Chairman of PuraPharm Group Mr. Abraham Chan. This led to the
system being utilized in more than 20 Mobile Clinics in Hong Kong
and 300 Hospitals in China. In order for these different
deployments of the system to be coherent with the main core
Ontology, it was necessary for us to develop an Ontology Driven
Software System Generation approach.
During the last two decades, the idea of Semantic Web has received
a great deal of attention. An extensive body of knowledge has
emerged to describe technologies that seek to help us create and
use aspects of the Semantic Web. Ontology and agent-based
technologies are understood to be the two important technologies
here. A large number of articles and a number of books exist to
describe the use individually of the two technologies and the
design of systems that use each of these technologies individually,
but little focus has been given on how one can - sign systems that
carryout integrated use of the two different technologies. In this
book we describe ontology and agent-based systems individually, and
highlight advantages of integration of the two different and
complementary te- nologies. We also present a methodology that will
guide us in the design of the - tegrated ontology-based multi-agent
systems and illustrate this methodology on two use cases from the
health and software engineering domain. This book is organized as
follows: * Chapter I, Current issues and the need for ontologies
and agents, describes existing problems associated with
uncontrollable information overload and explains how ontologies and
agent-based systems can help address these - sues. * Chapter II,
Introduction to multi-agent systems, defines agents and their main
characteristics and features including mobility, communications and
collaboration between different agents. It also presents different
types of agents on the basis of classifications done by different
authors.
Risk and reward are always foremost in the determination of
investment decisions and business transactions. Advances in the
area of Information Communication Technologies (ICT) have enabled
the development of new business paradigms. Such paradigms involve
transactions taking place between loosely connected parties, often
totally or partially unknown to one another. One important concept
required to ensure such transactions are successful is
transactional risk. The importance of doing this has been
demonstrated in recent financial crisis. This book is unique in
simultaneously taking into account the likelihood of an event
occurring and its financial impact and provides an integrated
discussion of the process of transactional risk identification,
assessment, evaluation, management and recording in these emerging
domains. It provides a detailed and clear exposition of the
importance of transactional risk before detailing for its
assessment and evaluation. The scope of the book is theoretical and
practical and as such it will have a broad market both within
academia and industry. Specifically this book should be of primary
interest to researchers, graduate students and practitioners in the
area of developing business intelligence techniques and their
application in various real world applications.
The all pervasive web is influencing all aspects of human
endeavour. In order to strengthen the description of web resources,
so that they are more meaningful to both humans and machines, web
semantics have been proposed. These allow better annotation,
understanding, search, interpretation and composition of these -
sources. The growing importance of these has brought about a great
increase in research into these issues. We propose a series of
books that will address key issues in web semantics on an annual
basis. This book series can be considered as an extended journal
published annually. The series will combine theoretical results,
standards, and their realizations in applications and
implementations. The series is titled "Advances in Web Sem- tics"
and will be published periodically by Springer to promote emerging
Semantic Web technologies. It will contain the cream of the
collective contribution of the Int- national Federation for
Information Processing (IFIP) Web Semantics Working Group; WG 2. 12
& WG 12. 4. This book, addressing the current state of the art,
is the first in the series. In subsequent years, books will address
a particular theme, topic or issue where the greatest advances are
being made. Examples of such topics include: (i) process semantics,
(ii) web services, (iii) ontologies, (iv) workflows, (v) trust and
reputation, (vi) web applications, etc. Periodically, perhaps every
five years, there will be a scene-setting state of the art volume.
This unique book succinctly summarizes the need to measure how
ontologies (one of the building blocks of the Semantic Web) are
currently being utilized, providing insights for various
stakeholders. Where possible it improves and reuses terms in
existing vocabularies/ontologies, as recommended by the Linked Data
community. Recent advances in the Semantic Web have led to a
proliferation of Resource Description Framework (RDF) data, which
employ ontologies to semantically describe the information on the
Web making it equally understandable for both humans and machines.
However, to create a network effect, it is important that selective
ontologies are used by more data publishers to improve the value of
that ontology. For this to happen, it is vital to discover what is
being used from an ontology to semantically annotate the
information on the Web specific to a given domain. Answers to such
basic but crucial questions can only be achieved by ascertaining
how ontologies in the current semantic web are being utilized and
adopted. The proposed frameworks to obtain such insights are
explained with real-world examples to provide a clear and detailed
description of ontology usage analysis. Both theoretical and
practical, the book is of value to academics and professionals
working in industry. Specifically, it is of primary interest to
researchers, graduate students and practitioners in the area of the
Semantic Web and its various real-world applications.
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