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Author : Bettina Berendt
Publisher :
ISBN 13 : 9783662185919
Total Pages : 218 pages
Book Rating : 4.1/5 (859 download)
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:
Author : Tope Omitola
Publisher : Springer Nature
ISBN 13 : 3031794591
Total Pages : 138 pages
Book Rating : 4.0/5 (317 download)
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).
Author : P. Ristoski
Publisher : IOS Press
ISBN 13 : 1614999813
Total Pages : 246 pages
Book Rating : 4.6/5 (149 download)
Download or read book Exploiting Semantic Web Knowledge Graphs in Data Mining written by P. Ristoski and published by IOS Press. This book was released on 2019-06-28 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can benefit from additional knowledge from various sources, so many approaches have been proposed that combine Semantic Web data with the data mining and knowledge discovery process. This book, Exploiting Semantic Web Knowledge Graphs in Data Mining, aims to show that Semantic Web knowledge graphs are useful for generating valuable data mining features that can be used in various data mining tasks. In Part I, Mining Semantic Web Knowledge Graphs, the author evaluates unsupervised feature generation strategies from types and relations in knowledge graphs used in different data mining tasks such as classification, regression, and outlier detection. Part II, Semantic Web Knowledge Graphs Embeddings, proposes an approach that circumvents the shortcomings introduced with the approaches in Part I, developing an approach that is able to embed complete Semantic Web knowledge graphs in a low dimensional feature space where each entity and relation in the knowledge graph is represented as a numerical vector. Finally, Part III, Applications of Semantic Web Knowledge Graphs, describes a list of applications that exploit Semantic Web knowledge graphs like classification and regression, showing that the approaches developed in Part I and Part II can be used in applications in various domains. The book will be of interest to all those working in the field of data mining and KDD.
Author : A. Ławrynowicz
Publisher : IOS Press
ISBN 13 : 1614997462
Total Pages : 210 pages
Book Rating : 4.6/5 (149 download)
Download or read book Semantic Data Mining written by A. Ławrynowicz and published by IOS Press. This book was released on 2017-04-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Agnieszka Ławrynowicz
Publisher :
ISBN 13 : 9783898387248
Total Pages : 194 pages
Book Rating : 4.3/5 (872 download)
Download or read book Semantic Data Mining written by Agnieszka Ławrynowicz and published by . This book was released on 2017 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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."--page [4] of cover.
Author : Ordóñez de Pablos, Patricia
Publisher : IGI Global
ISBN 13 : 1466624957
Total Pages : 434 pages
Book Rating : 4.4/5 (666 download)
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.
Author : Bettina Berendt
Publisher : Springer
ISBN 13 : 3540301232
Total Pages : 210 pages
Book Rating : 4.5/5 (43 download)
Download or read book Web Mining: From Web to Semantic Web written by Bettina Berendt and published by Springer. This book was released on 2011-04-05 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last years, research on Web mining has reached maturity and has broadened in scope. Two different but interrelated research threads have emerged, based on the dual nature of the Web: – The Web is a practically in?nite collection of documents: The acquisition and - ploitation of information from these documents asks for intelligent techniques for information categorization, extraction and search, as well as for adaptivity to the interests and background of the organization or person that looks for information. – The Web is a venue for doing business electronically: It is a venue for interaction, information acquisition and service exploitation used by public authorities, n- governmental organizations, communities of interest and private persons. When observed as a venue for the achievement of business goals, a Web presence should be aligned to the objectives of its owner and the requirements of its users. This raises the demand for understandingWeb usage, combining it with other sources of knowledge inside an organization, and deriving lines of action. ThebirthoftheSemanticWebatthebeginningofthedecadeledtoacoercionofthetwo threadsintwoaspects:(i)theextractionofsemanticsfromtheWebtobuildtheSemantic Web;and(ii)theexploitationofthesesemanticstobettersupportinformationacquisition and to enhance the interaction for business and non-business purposes. Semantic Web mining encompasses both aspects from the viewpoint of knowledge discovery.
Author : Tao, Dacheng
Publisher : IGI Global
ISBN 13 : 1605661899
Total Pages : 550 pages
Book Rating : 4.6/5 (56 download)
Download or read book Semantic Mining Technologies for Multimedia Databases written by Tao, Dacheng and published by IGI Global. This book was released on 2009-04-30 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to recent techniques in multimedia semantic mining necessary to researchers new to the field.
Author : Juanzi Li
Publisher : Springer Science & Business Media
ISBN 13 : 1461468809
Total Pages : 395 pages
Book Rating : 4.4/5 (614 download)
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.
Author : Markus Ackermann
Publisher : Springer
ISBN 13 : 3540476989
Total Pages : 206 pages
Book Rating : 4.5/5 (44 download)
Download or read book Semantics, Web and Mining written by Markus Ackermann and published by Springer. This book was released on 2006-11-28 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Thomas B. Passin
Publisher : Manning Publications
ISBN 13 : 9781932394207
Total Pages : 0 pages
Book Rating : 4.3/5 (942 download)
Download or read book Explorer's Guide to the Semantic Web written by Thomas B. Passin and published by Manning Publications. This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complex series of extensions to the World Wide Web, the Semantic Web's purpose is to make data and services far more accessible to computers and far more useful for people than the web we know today. Written for developers and programmers, this guide seeks to acquaint these users with the basic technologies and their interrelations that will be likely to play key roles in the Semantic Web. Covered are key technology areas such as knowledge modeling (RDF, Topic Maps), agents (DAML, FIPA), and Trust and Authentication. A basic conceptual approach is taken so that developers and programmers with a wide range of backgrounds and interests come to understand the essential nature of these areas, how they work, and something about some specific technologies that are being used or proposed. Important points are illustrated with diagrams and code fragments to help develop a familiarity with these Semantic Web initiatives.
Author :
Publisher :
ISBN 13 : 9783898387422
Total Pages : pages
Book Rating : 4.3/5 (874 download)
Download or read book Exploiting Semantic Web Knowledge Graphs in Data Mining written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Grigoris Antoniou
Publisher : MIT Press
ISBN 13 : 0262304686
Total Pages : 287 pages
Book Rating : 4.2/5 (623 download)
Download or read book A Semantic Web Primer, third edition written by Grigoris Antoniou and published by MIT Press. This book was released on 2012-09-07 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of the widely used guide to the key ideas, languages, and technologies of the Semantic Web The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its uses. A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials. The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field. Treatment of the different languages (OWL2, rules) expands the coverage of RDF and OWL, defining the data model independently of XML and including coverage of N3/Turtle and RDFa. A chapter is devoted to OWL2, the new W3C standard. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications. The chapter on Semantic Web applications reflects the rapid developments of the past few years. A new chapter offers ideas for term projects. Additional material, including updates on the technological trends and research directions, can be found at http://www.semanticwebprimer.org.
Author : Lytras, Miltiadis D.
Publisher : IGI Global
ISBN 13 : 1522571876
Total Pages : 399 pages
Book Rating : 4.5/5 (225 download)
Download or read book Semantic Web Science and Real-World Applications written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2018-10-26 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continual advancements in web technology have highlighted the need for formatted systems that computers can utilize to easily read and sift through the hundreds of thousands of data points across the internet. Therefore, having the most relevant data in the least amount of time to optimize the productivity of users becomes a priority. Semantic Web Science and Real-World Applications provides emerging research exploring the theoretical and practical aspects of semantic web science and real-world applications within the area of big data. Featuring coverage on a broad range of topics such as artificial intelligence, social media monitoring, and microblogging recommendation systems, this book is ideally designed for IT consultants, academics, professionals, and researchers of web science seeking the current developments, requirements and standards, and technology spaces presented across academia and industries.
Author : Matthew Russell
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449388345
Total Pages : 356 pages
Book Rating : 4.4/5 (493 download)
Download or read book Mining the Social Web written by Matthew Russell and published by "O'Reilly Media, Inc.". This book was released on 2011-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
Author : Sarika Jain
Publisher : Academic Press
ISBN 13 : 0128224851
Total Pages : 290 pages
Book Rating : 4.1/5 (282 download)
Download or read book Web Semantics written by Sarika Jain and published by Academic Press. This book was released on 2021-03-27 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable. In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions. It provides easily comprehensible information on Web Semantics including semantics for data and semantics for services. Presents a comprehensive examination of the emerging research in areas of the semantic web, including ontological engineering, semantic annotation, reasoning and intelligent processing, semantic search paradigms, semantic web mining, and semantic sentiment analysis Helps readers understand key concepts in semantic web applications for biomedical engineering and healthcare, including mapping disparate knowledge bases, security issues, multilingual semantic web, and integrating databases with knowledge bases Includes coverage of key application areas of the semantic web, including clinical decision-making, biodiversity science, interactive healthcare, intelligent agent systems, decision support systems, and clinical natural language processing
Author : Vladan Devedžic
Publisher : Springer Science & Business Media
ISBN 13 : 1441912193
Total Pages : 206 pages
Book Rating : 4.4/5 (419 download)
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.
