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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 : Morgan & Claypool Publishers
ISBN 13 : 1627053999
Total Pages : 156 pages
Book Rating : 4.6/5 (27 download)
Download or read book Social Semantic Web Mining written by Tope Omitola and published by Morgan & Claypool Publishers. This book was released on 2015-01-01 with total page 156 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). 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
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 : 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 : Dongyan Zhao
Publisher : Springer
ISBN 13 : 3662454955
Total Pages : 260 pages
Book Rating : 4.6/5 (624 download)
Download or read book The Semantic Web and Web Science written by Dongyan Zhao and published by Springer. This book was released on 2014-11-17 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed papers of the 8th Chinese Conference on The Semantic Web and Web Science, CSWS 2014, held in Wuhan, China, in August 2014. The 22 research papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections such as ontology reasoning and learning; semantic data generation and management; and semantic technology and applications.
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 : 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.
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 : David C. Wyld
Publisher : Springer Science & Business Media
ISBN 13 : 364222539X
Total Pages : 677 pages
Book Rating : 4.6/5 (422 download)
Download or read book Advances in Network Security and Applications written by David C. Wyld and published by Springer Science & Business Media. This book was released on 2011-06-30 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.
Author : Mahak
Publisher : Mohammed Abdul Sattar
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (249 download)
Download or read book Ontology for Knowledge Discovery in Semantic Web Mining written by Mahak and published by Mohammed Abdul Sattar. This book was released on 2024-02-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of the World Wide Web has huge and increasing amount of data and information. This huge data provided by the web has become an important information resource for all internet users. Furthermore, the low cost of web data makes it more attractive to researchers. Users can retrieve web data by browsing and keyword searching. Still, it may have lots of limitations to these techniques. Normally, several web links are getting users while they browsing for one data so it is hard for researchers to retrieve data efficiently. Mostly, pages in web contain both hyperlinks and text documents to other documents. Furthermore, mailing lists, newsgroups, and forums are considered as another form of data sources. Thus, web mining can also support web mining design and implementation but this becomes provocation for people with extracting web information. Web mining is able to support the web information sources based on user needs, including knowing availability, importance and relevance of web systems; it should be able to select extracted data, because both related and not related information are present in Web sites; it should be easy to collect data and then analyze and help to build models and produce validity. Internet users have improved significantly over the last decade and endure to growth. Through the user numbers, data available in web, persistent to increase exponentially. E- commerce is one of the application areas related to information mining. Fast growth of internet users has improved e-business applications. Many attempts are made on "breaking the syntax barrier" in web and many of them depend on text corpora of the semantic information used completely by statistical techniques. Ontology framework plays a key role in semantic web along with the artificial intelligence purposes and these contain Resource Description Framework (RDF) and XML. Ontology has developed into a necessary model tool for applying various intelligent systems which represent domain knowledge, which is easily understandable by both humans and machines. Ontologies play important role to make interoperability efficient and smooth, among heterogeneous systems. Ontology basically provides the link between particular domain concepts. The aim of ontology is to attain good knowledge about that system that can be circulated between people and application framework and intend to gain knowledge of domain and their role involves the semantics design exactly in a generic method, offering the agreement premise inside the area. In general, Ontology covers four key components namely: instances, concepts, axioms and relations. Concept was key element and is a basic domain with collection of group or objects or abstract set and normally means a common knowledge shared among group of members.
Author : Guandong Xu
Publisher : Springer Science & Business Media
ISBN 13 : 144197735X
Total Pages : 218 pages
Book Rating : 4.4/5 (419 download)
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 218 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.
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 : Bettina Berendt
Publisher : Springer
ISBN 13 : 9783540232582
Total Pages : 226 pages
Book Rating : 4.2/5 (325 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 2004-09-23 with total page 226 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 : Sreedhar, G.
Publisher : IGI Global
ISBN 13 : 1522518789
Total Pages : 427 pages
Book Rating : 4.5/5 (225 download)
Download or read book Web Data Mining and the Development of Knowledge-Based Decision Support Systems written by Sreedhar, G. and published by IGI Global. This book was released on 2016-12-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.
Author : Peter Mika
Publisher : Springer Science & Business Media
ISBN 13 : 0387710019
Total Pages : 237 pages
Book Rating : 4.3/5 (877 download)
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.
Author : Tharam S. Dillon
Publisher : Springer Science & Business Media
ISBN 13 : 3540897836
Total Pages : 404 pages
Book Rating : 4.5/5 (48 download)
Download or read book Advances in Web Semantics I written by Tharam S. Dillon and published by Springer Science & Business Media. This book was released on 2008-12-18 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the first volume of a series of books focusing on the vital and ever-growing field of web semantics. The primary aim of the series is to investigate, present and promote core concepts, ideas and exemplary technologies for the next generation of semantic web research, stemming from both academia and industry. Topics covered will include process semantics, web services, ontologies, workflows, trust and reputation, and web applications. The 14 papers in this volume, written by key scientists in the field, are preceded by an introduction written by the volume editors. The papers have been divided into three sections on Ontologies and Knowledge Sharing, Applied Semantic Web, and Web Services.
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.
