Semantics Web And Mining
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Social Semantic Web Mining
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Author : Tope Omitola
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2015-01-01
Social Semantic Web Mining written by Tope Omitola and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-01 with Computers categories.
The past ten years have seen a rapid growth in the numbers of people signing up to use Web-based social networks (hundreds of millions of new members are now joining the main services each year) with a large amount of content being shared on these networks (tens of billions of content items are shared each month). With this growth in usage and data being generated, there are many opportunities to discover the knowledge that is often inherent but somewhat hidden in these networks. Web mining techniques are being used to derive this hidden knowledge. In addition, the Semantic Web, including the Linked Data initiative to connect previously disconnected datasets, is making it possible to connect data from across various social spaces through common representations and agreed upon terms for people, content items, etc. In this book, we detail some current research being carried out to semantically represent the implicit and explicit structures on the Social Web, along with the techniques being used to elicit relevant knowledge from these structures, and we present the mechanisms that can be used to intelligently mesh these semantic representations with intelligent knowledge discovery processes. We begin this book with an overview of the origins of the Web, and then show how web intelligence can be derived from a combination of web and Social Web mining. We give an overview of the Social and Semantic Webs, followed by a description of the combined Social Semantic Web (along with some of the possibilities it affords), and the various semantic representation formats for the data created in social networks and on social media sites. Provenance and provenance mining is an important aspect here, especially when data is combined from multiple services. We will expand on the subject of provenance and especially its importance in relation to social data. We will describe extensions to social semantic vocabularies specifically designed for community mining purposes (SIOCM). In the last three chapters, we describe how the combination of web intelligence and social semantic data can be used to derive knowledge from the Social Web, starting at the community level (macro), and then moving through group mining (meso) to user profile mining (micro). Table of Contents: Acknowledgments / Grant Aid / Introduction and the Web / Web Mining / The Social Web / The Semantic Web / The Social Semantic Web / Social Semantic Web Mining / Social Semantic Web Mining of Communities / Social Semantic Web Mining of Groups / Social Semantic Web Mining of Users / Conclusions / Bibliography / Authors' Biographies
Web Mining
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Author : Bettina Berendt
language : en
Publisher:
Release Date : 2014-01-15
Web Mining written by Bettina Berendt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Web Mining From Web To Semantic Web
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Author : Bettina Berendt
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-23
Web Mining From Web To Semantic Web written by Bettina Berendt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-23 with Business & Economics categories.
This book originates from the first European Web Mining Forum, EWMF 2003, held in Cavtat-Dubrovnik, Croatia, in September 2003 in association with ECML/PKDD 2003. The Web Mining Forum initiative is motivated by the insight that knowledge discovery on the Web, from the viewpoint of hyperarchive analysis, and, from the viewpoint of interaction among persons and institutions, are complementary, both for the conventional Web and for the Semantic Web. This book presents an introductory roadmap paper, four invited papers and six workshop papers, which were carefully selected during two rounds of reviewing and improvement. Among the topics addressed are Web usage mining, Web mining for the addition of semantics, semantically enhanced Web filtering, ontologies, wrapper induction, Web personalization, user profiling, user session evaluation, and evolution of Web usage patterns.
Semantics Web And Mining
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Author : Markus Ackermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-29
Semantics Web And Mining written by Markus Ackermann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-29 with Computers categories.
This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005. The 10 revised full papers presented together with one invited paper and one particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book.
Social Semantic Web Mining
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Author : Tope Omitola
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Social Semantic Web Mining written by Tope Omitola and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.
The past ten years have seen a rapid growth in the numbers of people signing up to use Web-based social networks (hundreds of millions of new members are now joining the main services each year) with a large amount of content being shared on these networks (tens of billions of content items are shared each month). With this growth in usage and data being generated, there are many opportunities to discover the knowledge that is often inherent but somewhat hidden in these networks. Web mining techniques are being used to derive this hidden knowledge. In addition, the Semantic Web, including the Linked Data initiative to connect previously disconnected datasets, is making it possible to connect data from across various social spaces through common representations and agreed upon terms for people, content items, etc. In this book, we detail some current research being carried out to semantically represent the implicit and explicit structures on the Social Web, along with the techniques being used to elicit relevant knowledge from these structures, and we present the mechanisms that can be used to intelligently mesh these semantic representations with intelligent knowledge discovery processes. We begin this book with an overview of the origins of the Web, and then show how web intelligence can be derived from a combination of web and Social Web mining. We give an overview of the Social and Semantic Webs, followed by a description of the combined Social Semantic Web (along with some of the possibilities it affords), and the various semantic representation formats for the data created in social networks and on social media sites. Provenance and provenance mining is an important aspect here, especially when data is combined from multiple services. We will expand on the subject of provenance and especially its importance in relation to social data. We will describe extensions to social semantic vocabularies specifically designed for community mining purposes (SIOCM). In the last three chapters, we describe how the combination of web intelligence and social semantic data can be used to derive knowledge from the Social Web, starting at the community level (macro), and then moving through group mining (meso) to user profile mining (micro).
Exploiting Semantic Web Knowledge Graphs In Data Mining
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Author :
language : en
Publisher:
Release Date : 2019
Exploiting Semantic Web Knowledge Graphs In Data Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Web Mining
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Author :
language : en
Publisher:
Release Date : 2004
Web Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Data mining categories.
Semantic Data Mining
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Author : Agnieszka Lawrynowicz
language : en
Publisher: SAGE Publications Limited
Release Date : 2017-04-15
Semantic Data Mining written by Agnieszka Lawrynowicz and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-15 with Computers categories.
Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.
Semantics Web And Mining
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Author : Markus Ackermann
language : en
Publisher: Springer
Release Date : 2006-11-28
Semantics Web And Mining written by Markus Ackermann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-28 with Computers categories.
This book constitutes the thoroughly refereed and extended post-proceedings of the joint European Web Mining Forum, EWMF 2005, and the International Workshop on Knowledge Discovery and Ontologies, KDO 2005, held in association with ECML/PKDD in Porto, Portugal in October 2005. The 10 revised full papers presented together with one invited paper and one particularly fitting contribution from KDO 2004 were carefully selected for inclusion in the book.
Cyber Behavior Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2014-04-30
Cyber Behavior Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-30 with Technology & Engineering categories.
Following the migration of workflows, data, and communication to the Cloud and other Internet-based frameworks, interaction over the Web has become ever more commonplace. As with any social situation, there are rules and consequences to actions within a virtual environment. Cyber Behavior: Concepts, Methodologies, Tools, and Applications explores the role of cyberspace in modern communication and interaction, including considerations of ethics, crime, security, and education. With chapters on a variety of topics and concerns inherent to a contemporary networked society, this multi-volume work will be of particular interest to students and academicians, as well as software developers, computer scientists, and specialists in the field of Information Technologies.