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.
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.
Trustworthiness technologies and systems for service-oriented environments are re-shaping the world of e-business. By building trust relationships and establishing trustworthiness and reputation ratings, service providers and organizations will improve customer service, business value and consumer confidence, and provide quality assessment and assurance for the customer in the networked economy. Trust and Reputation for Service-Oriented Environments is a complete tutorial on how to provide business intelligence for sellers, service providers, and manufacturers. In an accessible style, the authors show how the capture of consumer requirements and end-user opinions gives modern businesses the competitive advantage. Trust and Reputation for Service-Oriented Environments: Clarifies trust and security concepts, and defines trust, trust relationships, trustworthiness, reputation, reputation relationships, and trust and reputation models. Details trust and reputation ontologies and databases. Explores the dynamic nature of trust and reputation and how to manage them efficiently. Provides methodologies for trustworthiness measurement, reputation assessment and trustworthiness prediction. Evaluates current trust and reputation systems as employed by companies such as Yahoo, eBay, BizRate, Epinion and Amazon, etc. Gives ample illustrations and real world examples to help validate trust and reputation concepts and methodologies. Offers an accompanying website with lecture notes and PowerPoint slides. This text will give senior undergraduate and masters level students of IT, IS, computer science, computer engineering and business disciplines a full understanding of the concepts and issues involved in trust and reputation. Business providers, consumer watch-dogs and government organizations will find it an invaluable reference to establishing and maintaining trust in open, distributed, anonymous service-oriented network environments.
Trustworthiness technologies and systems for service-oriented environments are re-shaping the world of e-business. By building trust relationships and establishing trustworthiness and reputation ratings, service providers and organizations will improve customer service, business value and consumer confidence, and provide quality assessment and assurance for the customer in the networked economy. Trust and Reputation for Service-Oriented Environments is a complete tutorial on how to provide business intelligence for sellers, service providers, and manufacturers. In an accessible style, the authors show how the capture of consumer requirements and end-user opinions gives modern businesses the competitive advantage. Trust and Reputation for Service-Oriented Environments: Clarifies trust and security concepts, and defines trust, trust relationships, trustworthiness, reputation, reputation relationships, and trust and reputation models. Details trust and reputation ontologies and databases. Explores the dynamic nature of trust and reputation and how to manage them efficiently. Provides methodologies for trustworthiness measurement, reputation assessment and trustworthiness prediction. Evaluates current trust and reputation systems as employed by companies such as Yahoo, eBay, BizRate, Epinion and Amazon, etc. Gives ample illustrations and real world examples to help validate trust and reputation concepts and methodologies. Offers an accompanying website with lecture notes and PowerPoint slides. This text will give senior undergraduate and masters level students of IT, IS, computer science, computer engineering and business disciplines a full understanding of the concepts and issues involved in trust and reputation. Business providers, consumer watch-dogs and government organizations will find it an invaluable reference to establishing and maintaining trust in open, distributed, anonymous service-oriented network environments.
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.
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