Social Semantic Web Mining

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Social Semantic Web Mining

Author : Tope Omitola
Publisher : Springer Nature
ISBN 13 : 3031794591
Total Pages : 138 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Social Semantic Web Mining by : Tope Omitola

Download or read book Social Semantic Web Mining written by Tope Omitola and published by Springer Nature. This book was released on 2022-06-01 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Social Networks and the Semantic Web

Author : Peter Mika
Publisher : Springer Science & Business Media
ISBN 13 : 0387710019
Total Pages : 237 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Social Networks and the Semantic Web by : Peter Mika

Download or read book Social Networks and the Semantic Web written by Peter Mika and published by Springer Science & Business Media. This book was released on 2007-10-23 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.

Semantic Mining of Social Networks

Author : Jie Tang
Publisher : Springer Nature
ISBN 13 : 3031794621
Total Pages : 193 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Semantic Mining of Social Networks by : Jie Tang

Download or read book Semantic Mining of Social Networks written by Jie Tang and published by Springer Nature. This book was released on 2022-06-01 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Web Mining

Author : Bettina Berendt
Publisher :
ISBN 13 : 9783662185919
Total Pages : 218 pages
Book Rating : 4.1/5 (859 download)

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Book Synopsis Web Mining by : Bettina Berendt

Download or read book Web Mining written by Bettina Berendt and published by . This book was released on 2014-01-15 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advancing Information Management through Semantic Web Concepts and Ontologies

Author : Ordóñez de Pablos, Patricia
Publisher : IGI Global
ISBN 13 : 1466624957
Total Pages : 434 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Advancing Information Management through Semantic Web Concepts and Ontologies by : Ordóñez de Pablos, Patricia

Download or read book Advancing Information Management through Semantic Web Concepts and Ontologies written by Ordóñez de Pablos, Patricia and published by IGI Global. This book was released on 2012-11-30 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an analysis and introduction on the concept of combining the areas of semantic web and web mining, emphasizing semantics in technologies, reasoning, content searching and social media"--Provided by publisher.

Semantic Web and Web Science

Author : Juanzi Li
Publisher : Springer Science & Business Media
ISBN 13 : 1461468809
Total Pages : 395 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Semantic Web and Web Science by : Juanzi Li

Download or read book Semantic Web and Web Science written by Juanzi Li and published by Springer Science & Business Media. This book was released on 2013-06-13 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Representation in the Social Semantic Web

Author : Katrin Weller
Publisher : Walter de Gruyter
ISBN 13 : 3598251807
Total Pages : 458 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Knowledge Representation in the Social Semantic Web by : Katrin Weller

Download or read book Knowledge Representation in the Social Semantic Web written by Katrin Weller and published by Walter de Gruyter. This book was released on 2010 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. The book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies.

The Social Semantic Web

Author : John G Breslin
Publisher : Springer Science & Business Media
ISBN 13 : 3642011721
Total Pages : 302 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis The Social Semantic Web by : John G Breslin

Download or read book The Social Semantic Web written by John G Breslin and published by Springer Science & Business Media. This book was released on 2009-10-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Social Web (including services such as MySpace, Flickr, last.fm, and WordPress) has captured the attention of millions of users as well as billions of dollars in investment and acquisition. Social websites, evolving around the connections between people and their objects of interest, are encountering boundaries in the areas of information integration, dissemination, reuse, portability, searchability, automation and demanding tasks like querying. The Semantic Web is an ideal platform for interlinking and performing operations on diverse person- and object-related data available from the Social Web, and has produced a variety of approaches to overcome the boundaries being experienced in Social Web application areas. After a short overview of both the Social Web and the Semantic Web, Breslin et al. describe some popular social media and social networking applications, list their strengths and limitations, and describe some applications of Semantic Web technology to address their current shortcomings by enhancing them with semantics. Across these social websites, they demonstrate a twofold approach for interconnecting the islands that are social websites with semantic technologies, and for powering semantic applications with rich community-created content. They conclude with observations on how the application of Semantic Web technologies to the Social Web is leading towards the "Social Semantic Web" (sometimes also called "Web 3.0"), forming a network of interlinked and semantically-rich content and knowledge. The book is intended for computer science professionals, researchers, and graduates interested in understanding the technologies and research issues involved in applying Semantic Web technologies to social software. Practitioners and developers interested in applications such as blogs, social networks or wikis will also learn about methods for increasing the levels of automation in these forms of Web communication.

Big Data Analytics: Systems, Algorithms, Applications

Author : C.S.R. Prabhu
Publisher : Springer Nature
ISBN 13 : 9811500940
Total Pages : 412 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Big Data Analytics: Systems, Algorithms, Applications by : C.S.R. Prabhu

Download or read book Big Data Analytics: Systems, Algorithms, Applications written by C.S.R. Prabhu and published by Springer Nature. This book was released on 2019-10-14 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

Using Data Mining for Facilitating User Contributions in the Social Semantic Web

Author : Maryam Ramezani
Publisher : GRIN Verlag
ISBN 13 : 3656047383
Total Pages : 193 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Using Data Mining for Facilitating User Contributions in the Social Semantic Web by : Maryam Ramezani

Download or read book Using Data Mining for Facilitating User Contributions in the Social Semantic Web written by Maryam Ramezani and published by GRIN Verlag. This book was released on 2011-11 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 t

Web Mining and Social Networking

Author : Guandong Xu
Publisher : Springer Science & Business Media
ISBN 13 : 144197735X
Total Pages : 210 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Web Mining and Social Networking by : Guandong Xu

Download or read book Web Mining and Social Networking written by Guandong Xu and published by Springer Science & Business Media. This book was released on 2010-10-20 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

Social Semantics

Author : Harry Halpin
Publisher : Springer Science & Business Media
ISBN 13 : 1461418852
Total Pages : 234 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Social Semantics by : Harry Halpin

Download or read book Social Semantics written by Harry Halpin and published by Springer Science & Business Media. This book was released on 2012-08-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architecture and Semantic Web in detail. It has a robust empirical side which has an impact on industry. Social Semantics: The Search for Meaning on the Web discusses how the largest problem facing the Semantic Web is the problem of identity and reference, and how these are the results of a larger general theory of meaning. This book hypothesizes that statistical semantics can solve these problems, illustrated by case studies ranging from a pioneering study of tagging systems to using the Semantic Web to boost the results of commercial search engines. Social Semantics: The Search for Meaning on the Web targets practitioners working in the related fields of the semantic web, search engines, information retrieval, philosophers of language and more. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.

Web 2.0 & Semantic Web

Author : Vladan Devedžic
Publisher : Springer Science & Business Media
ISBN 13 : 1441912193
Total Pages : 206 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Web 2.0 & Semantic Web by : Vladan Devedžic

Download or read book Web 2.0 & Semantic Web written by Vladan Devedžic and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to the W3C Semantic Web Activity [1]: The Semantic Web provides a common framework that allows data to be shared and reused across appli- tion, enterprise, and community boundaries. This statement clearly explains that the Semantic Web is about data sharing. Currently, the Web uses hyperlinks to connect Web pages. The Semantic Web goes beyond that and focuses on data and envisions the creation of the web of data. On the Semantic Web, anyone can say anything about any resource on the Web. This is fully based on the concept of semantic - notations, where each resource on the Web can have an assigned meaning. This is done through the use of ontologies as a formal and explicit representation of domain concepts and their relationships [2]. Ontologies are formally based on description logics. This enables agents and applications to reason over the data when searching the Web, which has not previously been possible. Web 2. 0 has gradually evolved from letting the Web users play a more active role. Unlike the initial version of the Web, where the users mainly “consumed” content, users are now offered easy-to-use services for content production and publication. Mashups, blogs, wikis, feeds, interface remixes, and social networking/tagging s- tems are examples of these well-known services. The success and wide adoption of Web 2. 0 was in its reliance on social interactions as an inevitable characteristic of the use and life of the Web. In particular, Web 2.

Foundations for the Web of Information and Services

Author : Dieter Fensel
Publisher : Springer Science & Business Media
ISBN 13 : 3642197973
Total Pages : 341 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Foundations for the Web of Information and Services by : Dieter Fensel

Download or read book Foundations for the Web of Information and Services written by Dieter Fensel and published by Springer Science & Business Media. This book was released on 2011-06-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the mid 1990s, Tim Berners-Lee had the idea of developing the World Wide Web into a „Semantic Web“, a web of information that could be interpreted by machines in order to allow the automatic exploitation of data, which until then had to be done by humans manually. One of the first people to research topics related to the Semantic Web was Professor Rudi Studer. From the beginning, Rudi drove projects like ONTOBROKER and On-to-Knowledge, which later resulted in W3C standards such as RDF and OWL. By the late 1990s, Rudi had established a research group at the University of Karlsruhe, which later became the nucleus and breeding ground for Semantic Web research, and many of today’s well-known research groups were either founded by his disciples or benefited from close cooperation with this think tank. In this book, published in celebration of Rudi’s 60th birthday, many of his colleagues look back on the main research results achieved during the last 20 years. Under the editorship of Dieter Fensel, once one of Rudi’s early PhD students, an impressive list of contributors and contributions has been collected, covering areas like Knowledge Management, Ontology Engineering, Service Management, and Semantic Search. Overall, this book provides an excellent overview of the state of the art in Semantic Web research, by combining historical roots with the latest results, which may finally make the dream of a “Web of knowledge, software and services” come true.

Natural Language Processing for the Semantic Web

Author : Diana Maynard
Publisher : Springer Nature
ISBN 13 : 3031794745
Total Pages : 182 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Natural Language Processing for the Semantic Web by : Diana Maynard

Download or read book Natural Language Processing for the Semantic Web written by Diana Maynard and published by Springer Nature. This book was released on 2022-05-31 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.

The Epistemology of Intelligent Semantic Web Systems

Author : Mathieu d'Aquin
Publisher : Springer Nature
ISBN 13 : 3031794710
Total Pages : 78 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis The Epistemology of Intelligent Semantic Web Systems by : Mathieu d'Aquin

Download or read book The Epistemology of Intelligent Semantic Web Systems written by Mathieu d'Aquin and published by Springer Nature. This book was released on 2022-05-31 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Semantic Web is a young discipline, even if only in comparison to other areas of computer science. Nonetheless, it already exhibits an interesting history and evolution. This book is a reflection on this evolution, aiming to take a snapshot of where we are at this specific point in time, and also showing what might be the focus of future research. This book provides both a conceptual and practical view of this evolution, especially targeted at readers who are starting research in this area and as support material for their supervisors. From a conceptual point of view, it highlights and discusses key questions that have animated the research community: what does it mean to be a Semantic Web system and how is it different from other types of systems, such as knowledge systems or web-based information systems? From a more practical point of view, the core of the book introduces a simple conceptual framework which characterizes Intelligent Semantic Web Systems. We describe this framework, the components it includes, and give pointers to some of the approaches and technologies that might be used to implement them. We also look in detail at concrete systems falling under the category of Intelligent Semantic Web Systems, according to the proposed framework, allowing us to compare them, analyze their strengths and weaknesses, and identify the key fundamental challenges still open for researchers to tackle.

Cases on Open-Linked Data and Semantic Web Applications

Author : Ordóñez de Pablos, Patricia
Publisher : IGI Global
ISBN 13 : 1466628286
Total Pages : 348 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Cases on Open-Linked Data and Semantic Web Applications by : Ordóñez de Pablos, Patricia

Download or read book Cases on Open-Linked Data and Semantic Web Applications written by Ordóñez de Pablos, Patricia and published by IGI Global. This book was released on 2013-01-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web. Cases on Open-Linked Data and Semantic Web Applications brings together new theories, research findings and case studies which cover the recent developments and approaches towards applied open linked data and semantic web in the context of information systems. By enhancing the understanding of open linked data in business, science and information technologies, this reference source aims to be useful for academics, researchers, and practitioners.