Social Semantic Web 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
Social Networks And The Semantic Web
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Author : Peter Mika
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-23
Social Networks And The Semantic Web written by Peter Mika 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 2007-10-23 with Computers categories.
Science is like a tree: contrary to popular belief, both trees and science grow at their edges, not at their core. For science, this means that most of the fruitful and exciting developments are not happening at the core of established ?elds, but are instead happening at the boundaries between such ?elds. This has been particularly true for Computer Science. The most interesting database developments don’t happen inside the Database community, but rather where databases hit Biology. Similarly, the most interesting developments in Ar- ?cial Intelligence in recent years have happened where AI met the Web. Theyoung?eldofSemanticWebresearchhasbeenoneoftheresultsofanumber of different sub?elds of Computer Science being exposed to the challenges of the Web: databases, computational linguistics, knowledge representation, knowled- based systems and service-oriented computing are just some of the sub?elds that are all making contributions to the Semantic Web vision, namely a Web that consists not only of linksbetween web-pagesfull of picturesand text, but of a Semantic Web that consists of links between computer-interpretable data. Such a Semantic Web would make it possible to query and reason over integrated data-sets consisting of separate pieces of information that were never intended to be linked together, but that can nevertheless be fruitfully combined and integrated, sometimes even by a third party who neither wrote nor ownsany of the original piecesof data (just as is possible with web-pages on the current Web).
An Introduction To Social Semantic Web Mining Big Data Analytics For Political Attitudes And Mentalities Research
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Author : Markus Schatten
language : en
Publisher:
Release Date : 2015
An Introduction To Social Semantic Web Mining Big Data Analytics For Political Attitudes And Mentalities Research written by Markus Schatten and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Using Data Mining For Facilitating User Contributions In The Social Semantic Web
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Author :
language : en
Publisher:
Release Date : 2011
Using Data Mining For Facilitating User Contributions In The Social Semantic Web written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Data mining categories.
Semantic Web And Web Science
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Author : Juanzi Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-13
Semantic Web And Web Science written by Juanzi Li 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 2013-06-13 with Computers categories.
The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving world-wide-web has led to revolutionary changes in the whole of society. The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing. These proceedings are from the 6th Chinese Semantics Web Symposium.
Semantic Mining Of Social Networks
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Author : Jie Tang
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2015-04-01
Semantic Mining Of Social Networks written by Jie Tang 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 2015-04-01 with Computers categories.
Online social networks have already become a bridge connecting our physical daily life with the (web-based) information space. This connection produces a huge volume of data, not only about the information itself, but also about user behavior. The ubiquity of the social Web and the wealth of social data offer us unprecedented opportunities for studying the interaction patterns among users so as to understand the dynamic mechanisms underlying different networks, something that was previously difficult to explore due to the lack of available data. In this book, we present the architecture of the research for social network mining, from a microscopic point of view. We focus on investigating several key issues in social networks. Specifically, we begin with analytics of social interactions between users. The first kinds of questions we try to answer are: What are the fundamental factors that form the different categories of social ties? How have reciprocal relationships been developed from parasocial relationships? How do connected users further form groups? Another theme addressed in this book is the study of social influence. Social influence occurs when one's opinions, emotions, or behaviors are affected by others, intentionally or unintentionally. Considerable research has been conducted to verify the existence of social influence in various networks. However, few literature studies address how to quantify the strength of influence between users from different aspects. In Chapter 4 and in [138], we have studied how to model and predict user behaviors. One fundamental problem is distinguishing the effects of different social factors such as social influence, homophily, and individual's characteristics. We introduce a probabilistic model to address this problem. Finally, we use an academic social network, ArnetMiner, as an example to demonstrate how we apply the introduced technologies for mining real social networks. In this system, we try to mine knowledge from both the informative (publication) network and the social (collaboration) network, and to understand the interaction mechanisms between the two networks. The system has been in operation since 2006 and has already attracted millions of users from more than 220 countries/regions.
Data Mining Patterns
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Author : Pascal Poncelet
language : en
Publisher: IGI Global Snippet
Release Date : 2008
Data Mining Patterns written by Pascal Poncelet and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
"This book provides an overall view of recent solutions for mining, and explores new patterns, offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.
Using Data Mining For Facilitating User Contributions In The Social Semantic Web
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Author : Maryam Ramezani
language : en
Publisher: GRIN Verlag
Release Date : 2011-11-04
Using Data Mining For Facilitating User Contributions In The Social Semantic Web written by Maryam Ramezani and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-04 with Computers categories.
Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Internet, New Technologies, grade: 1,0, Karlsruhe Institute of Technology (KIT), language: English, abstract: Social Web applications have emerged as powerful applications for Internet users allowing them to freely contribute to the Web content, organize and share information, and utilize the collective knowledge of others for discovering new topics, resources and new friends. While social Web applications such as social tagging systems have many benefits, they also present several challenges due to their open and adaptive nature. The amount of user generated data can be extremely large and since there is not any controlled vocabulary or hierarchy, it can be very difficult for users to find the information that is of their interest. In addition, attackers may attempt to distort the system’s adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. This thesis utilizes data mining and machine learning techniques to address these problems. In particular, we design and develop recommender systems to aid the user in contributing to the Social Semantic Web. In addition, we study intelligent techniques to combat attacks against social tagging systems. In our work, we first propose a framework that maps domain properties to recommendation technologies. This framework provides a systematic approach to find the appropriate recommendation technology for addressing a given problem in a specific domain. Second, we improve existing graph-based approaches for personalized tag recommendation in folksonomies. Third, we develop machine learning algorithms for recommendation of semantic relations to support continuous ontology development in a social semanticWeb environment. Finally, we introduce a framework to analyze different types of potential attacks against social tagging systems and evaluate their impact on those systems.
The Semantic Web Iswc
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Author :
language : en
Publisher:
Release Date : 2005
The Semantic Web Iswc written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Semantic Web categories.
Human Computer Interaction
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Author : Panayiotis Zaphiris
language : en
Publisher: IGI Global
Release Date : 2008-10-01
Human Computer Interaction written by Panayiotis Zaphiris and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-01 with Computers categories.
"This reference book penetrates the human computer interaction (HCI) field a wide variety of comprehensive research papers aimed at expanding the knowledge of HCI"--Provided by publisher.