Search (1049 results, page 1 of 53)

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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Abstract

Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Content

Inhalt: 1. Introduction 2. Association Rules and Sequential Patterns 3. Supervised Learning 4. Unsupervised Learning 5. Partially Supervised Learning 6. Information Retrieval and Web Search 7. Social Network Analysis 8. Web Crawling 9. Structured Data Extraction: Wrapper Generation 10. Information Integration

RSWK

World Wide Web / Data Mining

Series

Data-centric systems and applications

Subject

World Wide Web / Data Mining

Theme

Data Mining

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Abstract

This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.

Content

1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.

LCSH

Data mining

RSWK

Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik
Bibliometrie / Semantic Web / Soziale Software

Subject

Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik
Bibliometrie / Semantic Web / Soziale Software
Data mining

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Abstract

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Content

Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.

LCSH

Data mining

RSWK

Text Mining / Aufsatzsammlung

Subject

Text Mining / Aufsatzsammlung
Data mining

Theme

Data Mining

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Abstract

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

Content

Data Analysis, Statistics, and Classification.- Pattern Recognition and Automation.- Data Mining, Information Processing, and Automation.- New Media, Web Mining, and Automation.- Applications in Management Science, Finance, and Marketing.- Applications in Medicine, Biology, Archaeology, and Others.- Author Index.- Subject Index.

RSWK

Data Mining / Kongress / Passau <2000>
World Wide Web / Wissensorganisation / Kongress / Passau <2000>

Series

Proceedings of the ... annual conference of the Gesellschaft für Klassifikation e.V. ; 24)(Studies in classification, data analysis, and knowledge organization

Subject

Data Mining / Kongress / Passau <2000>
World Wide Web / Wissensorganisation / Kongress / Passau <2000>

Theme

Data Mining

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Footnote

Rez. in: JASIST 55(2004) no.3, S.275-276 (C. Chen): "This is a book about finding significant statistical patterns on the Web - in particular, patterns that are associated with hypertext documents, topics, hyperlinks, and queries. The term pattern in this book refers to dependencies among such items. On the one hand, the Web contains useful information an just about every topic under the sun. On the other hand, just like searching for a needle in a haystack, one would need powerful tools to locate useful information an the vast land of the Web. Soumen Chakrabarti's book focuses an a wide range of techniques for machine learning and data mining an the Web. The goal of the book is to provide both the technical Background and tools and tricks of the trade of Web content mining. Much of the technical content reflects the state of the art between 1995 and 2002. The targeted audience is researchers and innovative developers in this area, as well as newcomers who intend to enter this area. The book begins with an introduction chapter. The introduction chapter explains fundamental concepts such as crawling and indexing as well as clustering and classification. The remaining eight chapters are organized into three parts: i) infrastructure, ii) learning and iii) applications.
Part I, Infrastructure, has two chapters: Chapter 2 on crawling the Web and Chapter 3 an Web search and information retrieval. The second part of the book, containing chapters 4, 5, and 6, is the centerpiece. This part specifically focuses an machine learning in the context of hypertext. Part III is a collection of applications that utilize the techniques described in earlier chapters. Chapter 7 is an social network analysis. Chapter 8 is an resource discovery. Chapter 9 is an the future of Web mining. Overall, this is a valuable reference book for researchers and developers in the field of Web mining. It should be particularly useful for those who would like to design and probably code their own Computer programs out of the equations and pseudocodes an most of the pages. For a student, the most valuable feature of the book is perhaps the formal and consistent treatments of concepts across the board. For what is behind and beyond the technical details, one has to either dig deeper into the bibliographic notes at the end of each chapter, or resort to more in-depth analysis of relevant subjects in the literature. lf you are looking for successful stories about Web mining or hard-way-learned lessons of failures, this is not the book."

Theme

Data Mining

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Theme

Data Mining

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Abstract

The scale of web site design has grown so that what was once comparable to decorating a room is now comparable to designing buildings or even cities. Designing sites so that people can find their way around is an ever-growing challenge as sites contain more and more information. In the past, Information Architecture for the World Wide Web has helped developers and designers establish consistent and usable structures for their sites and their information. This edition of the classic primer on web site design and navigation is updated with recent examples, new scenarios, and new information on best practices. Readers will learn how to present large volumes of information to visitors who need to find what they're looking for quickly. With topics that range from aesthetics to mechanics, this valuable book explains how to create interfaces that users can understand easily.

Classification

ST 252 Informatik / Monographien / Software und -entwicklung / Web-Programmierung, allgemein

Date

22. 3.2008 16:18:27

LCSH

Web sites / Design

RSWK

World Wide Web / Web-Seite / Gestaltung
World Wide Web / Server
Softwarearchitektur / Gestaltung / Web-Seite / World Wide Web (GBV)
Informationsmanagement / World Wide Web (GBV)

RVK

ST 252 Informatik / Monographien / Software und -entwicklung / Web-Programmierung, allgemein

Subject

World Wide Web / Web-Seite / Gestaltung
World Wide Web / Server
Softwarearchitektur / Gestaltung / Web-Seite / World Wide Web (GBV)
Informationsmanagement / World Wide Web (GBV)
Web sites / Design

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Abstract

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.

RSWK

World Wide Web / Meinungsäußerung / Data Mining
Data Mining / Psycholinguistik (BVB)

Subject

World Wide Web / Meinungsäußerung / Data Mining
Data Mining / Psycholinguistik (BVB)

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Date

23. 3.2008 19:10:22

Footnote

Rez. in: JASIST 54(2003) no.9, S.905-906 (C.A. Badurek): "Visual approaches for knowledge discovery in very large databases are a prime research need for information scientists focused an extracting meaningful information from the ever growing stores of data from a variety of domains, including business, the geosciences, and satellite and medical imagery. This work presents a summary of research efforts in the fields of data mining, knowledge discovery, and data visualization with the goal of aiding the integration of research approaches and techniques from these major fields. The editors, leading computer scientists from academia and industry, present a collection of 32 papers from contributors who are incorporating visualization and data mining techniques through academic research as well application development in industry and government agencies. Information Visualization focuses upon techniques to enhance the natural abilities of humans to visually understand data, in particular, large-scale data sets. It is primarily concerned with developing interactive graphical representations to enable users to more intuitively make sense of multidimensional data as part of the data exploration process. It includes research from computer science, psychology, human-computer interaction, statistics, and information science. Knowledge Discovery in Databases (KDD) most often refers to the process of mining databases for previously unknown patterns and trends in data. Data mining refers to the particular computational methods or algorithms used in this process. The data mining research field is most related to computational advances in database theory, artificial intelligence and machine learning. This work compiles research summaries from these main research areas in order to provide "a reference work containing the collection of thoughts and ideas of noted researchers from the fields of data mining and data visualization" (p. 8). It addresses these areas in three main sections: the first an data visualization, the second an KDD and model visualization, and the last an using visualization in the knowledge discovery process. The seven chapters of Part One focus upon methodologies and successful techniques from the field of Data Visualization. Hoffman and Grinstein (Chapter 2) give a particularly good overview of the field of data visualization and its potential application to data mining. An introduction to the terminology of data visualization, relation to perceptual and cognitive science, and discussion of the major visualization display techniques are presented. Discussion and illustration explain the usefulness and proper context of such data visualization techniques as scatter plots, 2D and 3D isosurfaces, glyphs, parallel coordinates, and radial coordinate visualizations. Remaining chapters present the need for standardization of visualization methods, discussion of user requirements in the development of tools, and examples of using information visualization in addressing research problems.
In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.
With contributors almost exclusively from the computer science field, the intended audience of this work is heavily slanted towards a computer science perspective. However, it is highly readable and provides introductory material that would be useful to information scientists from a variety of domains. Yet, much interesting work in information visualization from other fields could have been included giving the work more of an interdisciplinary perspective to complement their goals of integrating work in this area. Unfortunately, many of the application chapters are these, shallow, and lack complementary illustrations of visualization techniques or user interfaces used. However, they do provide insight into the many applications being developed in this rapidly expanding field. The authors have successfully put together a highly useful reference text for the data mining and information visualization communities. Those interested in a good introduction and overview of complementary research areas in these fields will be satisfied with this collection of papers. The focus upon integrating data visualization with data mining complements texts in each of these fields, such as Advances in Knowledge Discovery and Data Mining (Fayyad et al., MIT Press) and Readings in Information Visualization: Using Vision to Think (Card et. al., Morgan Kauffman). This unique work is a good starting point for future interaction between researchers in the fields of data visualization and data mining and makes a good accompaniment for a course focused an integrating these areas or to the main reference texts in these fields."

LCSH

Data mining

RSWK

Visualisierung / Computergraphik / Data Mining
Data Mining / Visualisierung / Aufsatzsammlung (BVB)

Series

Morgan Kaufmann series in data management systems

Subject

Visualisierung / Computergraphik / Data Mining
Data Mining / Visualisierung / Aufsatzsammlung (BVB)
Data mining

Theme

Data Mining

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Date

17. 7.2002 19:22:06

RSWK

Data-warehouse-Konzept / Lehrbuch
Data mining / Lehrbuch

Subject

Data-warehouse-Konzept / Lehrbuch
Data mining / Lehrbuch

Theme

Data Mining

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RSWK

World wide web
World wide web / Programm
World wide web / Programm / CD-ROM

Subject

World wide web
World wide web / Programm
World wide web / Programm / CD-ROM

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Theme

Data Mining

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Date

22. 2.1997 19:40:31

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Abstract

This book constitutes the refereed proceedings of the joint 6th International Semantic Web Conference, ISWC 2007, and the 2nd Asian Semantic Web Conference, ASWC 2007, held in Busan, Korea, in November 2007. The 50 revised full academic papers and 12 revised application papers presented together with 5 Semantic Web Challenge papers and 12 selected doctoral consortium articles were carefully reviewed and selected from a total of 257 submitted papers to the academic track and 29 to the applications track. The papers address all current issues in the field of the semantic Web, ranging from theoretical and foundational aspects to various applied topics such as management of semantic Web data, ontologies, semantic Web architecture, social semantic Web, as well as applications of the semantic Web. Short descriptions of the top five winning applications submitted to the Semantic Web Challenge competition conclude the volume.

LCSH

Semantic Web / Congresses
Web site development / Congresses
Data mining
Data Mining and Knowledge Discovery

RSWK

Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Pusan <2007> (BVB)
Semantic Web / Wissensmanagement / Kongress / Pusan <2007> (BVB)
Semantic Web / Anwendungssystem / Kongress / Pusan <2007> (BVB)
Semantic Web / Metadatenmodell / Data Mining / Ontologie <Wissensverarbeitung> / Kongress / Pusan <2007> (BVB)
Semantic Web / Kongress / Pusan <2007> (BVB)

Subject

Semantic Web / Congresses
Web site development / Congresses
Data mining
Data Mining and Knowledge Discovery
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Pusan <2007> (BVB)
Semantic Web / Wissensmanagement / Kongress / Pusan <2007> (BVB)
Semantic Web / Anwendungssystem / Kongress / Pusan <2007> (BVB)
Semantic Web / Metadatenmodell / Data Mining / Ontologie <Wissensverarbeitung> / Kongress / Pusan <2007> (BVB)
Semantic Web / Kongress / Pusan <2007> (BVB)

Theme

Semantic Web

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Content

Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.

LCSH

Data mining
Data Mining and Knowledge Discovery

RSWK

Data Mining
Semantic Web

Subject

Data Mining
Semantic Web
Data mining
Data Mining and Knowledge Discovery

Theme

Semantic Web

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Content

Enthält die Kapitel: (1) Informationswirtschaft in der Informationsgesellschaft (2) Informationen und Informationskanäle (3) Hilfsmittel der Wirtschaftsdokumentation: Klassifikation und Thesaurus (4) Retrieval von elektronischen Informationen: Techniken und Strategien (5) Data Mining bei externen Informationen (6) Automatische Indexierung (7) Suchen und Browsen im World Wide Web (8) Wirtschaftswissenschaftliche Informationen: Literaturnachweise und Volltexte (9) Ergebnisse der Marktforschung (10) Wirtschaftsnachrichten: Agenturmeldungen - Zeitungen - Newsletter - Pressearchive (11) Betriebswirtschaftliche Unternehmensinformationen (12) Ausschreibungen und Geschäftsanbahnungen (13) 'Selbstdarstellungen' von Unternehmen: Geschäftsberichte und Homepages (14) Gesetze und Urteile (15) Gewerbliche Schutzrechte als Wirtschaftsinformationen: Patente, Gebrauchsmuster, Marken, Geschmacksmuster (16) Forschungs- und Entwicklungsaktivitäten von Unternehmen (17) Personenbezogene Informationen in Datenbanken (18) Wirtschaftsstatistische Zeitreihen (19) Integration externer Informationen in das betriebliche Informationssystem (20) Fallstudien

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Abstract

The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study.

Content

Inhalt: Introduction - Principles ofLinked Data - The Web ofData - Linked Data Design Considerations - Linked Data Design Considerations - Consuming Linked Data - Summary and Outlook Vgl.: http://linkeddatabook.com/book.

RSWK

Linked Data
Semantic Web / Forschungsergebnis / Forschung / Daten / Hyperlink

Series

Synthesis lectures on the semantic web: theory and technology ; 1

Subject

Linked Data
Semantic Web / Forschungsergebnis / Forschung / Daten / Hyperlink

Theme

Semantic Web

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Date

22.12.2002 17:22:34

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Classification

004.678 22

DDC

004.678 22

Footnote

Rez. in: JASIST 57(2006) no.14, S.1979-1980 (J.G. Williams): "The Introduction and Part I of this book presents the world of computing with a historical and philosophical overview of computers, computer applications, networks, the World Wide Web, and eBusiness based on the notion that the real world places constraints on the application of these technologies and without a formalized approach, the benefits of these technologies cannot be realized. The concepts of real world constraints and the need for formalization are used as the cornerstones for a building-block approach for helping the reader understand computing, networking, the World Wide Web, and the applications that use these technologies as well as all the possibilities that these technologies hold for the future. The author's building block approach to understanding computing, networking and application building makes the book useful for science, business, and engineering students taking an introductory computing course and for social science students who want to understand more about the social impact of computers, the Internet, and Web technology. It is useful as well for managers and designers of Web and ebusiness applications, and for the general public who are interested in understanding how these technologies may impact their lives, their jobs, and the social context in which they live and work. The book does assume some experience and terminology in using PCs and the Internet but is not intended for computer science students, although they could benefit from the philosophical basis and the diverse viewpoints presented. The author uses numerous analogies from domains outside the area of computing to illustrate concepts and points of view that make the content understandable as well as interesting to individuals without any in-depth knowledge of computing, networking, software engineering, system design, ebusiness, and Web design. These analogies include interesting real-world events ranging from the beginning of railroads, to Henry Ford's mass produced automobile, to the European Space Agency's loss of the 7 billion dollar Adriane rocket, to travel agency booking, to medical systems, to banking, to expanding democracy. The book gives the pros and cons of the possibilities offered by the Internet and the Web by presenting numerous examples and an analysis of the pros and cons of these technologies for the examples provided. The author shows, in an interesting manner, how the new economy based on the Internet and the Web affects society and business life on a worldwide basis now and how it will affect the future, and how society can take advantage of the opportunities that the Internet and the Web offer.
The book is organized into six sections or parts with several chapters within each part. Part 1, does a good job of building an understanding some of the historical aspects of computing and why formalization is important for building computer-based applications. A distinction is made between formalized and unformalized data, processes, and procedures, which the author cleverly uses to show how the level of formalization of data, processes, and procedures determines the functionality of computer applications. Part I also discusses the types of data that can be represented in symbolic form, which is crucial to using computer and networking technology in a virtual environment. This part also discusses the technical and cultural constraints upon computing, networking, and web technologies with many interesting examples. The cultural constraints discussed range from copyright to privacy issues. Part 1 is critical to understanding the author's point of view and discussions in other sections of the book. The discussion on machine intelligence and natural language processing is particularly well done. Part 2 discusses the fundamental concepts and standards of the Internet and Web. Part 3 introduces the need for formalization to construct ebusiness applications in the business-to-consumer category (B2C). There are many good and interesting examples of these B2C applications and the associated analyses of them using the concepts introduced in Parts I and 2 of the book. Part 4 examines the formalization of business-to-business (B2B) applications and discusses the standards that are needed to transmit data with a high level of formalization. Part 5 is a rather fascinating discussion of future possibilities and Part 6 presents a concise summary and conclusion. The book covers a wide array of subjects in the computing, networking, and Web areas and although all of them are presented in an interesting style, some subjects may be more relevant and useful to individuals depending on their background or academic discipline. Part 1 is relevant to all potential readers no matter what their background or academic discipline but Part 2 is a little more technical; although most people with an information technology or computer science background will not find much new here with the exception of the chapters on "Dynamic Web Pages" and "Embedded Scripts." Other readers will find this section informative and useful for understanding other parts of the book. Part 3 does not offer individuals with a background in computing, networking, or information science much in addition to what they should already know, but the chapters on "Searching" and "Web Presence" may be useful because they present some interesting notions about using the Web. Part 3 gives an overview of B2C applications and is where the author provides examples of the difference between services that are completely symbolic and services that have both a symbolic portion and a physical portion. Part 4 of the book discusses B2B technology once again with many good examples. The chapter on "XML" in Part 4 is not appropriate for readers without a technical background. Part 5 is a teacher's dream because it offers a number of situations that can be used for classroom discussions or case studies independent of background or academic discipline.
Each chapter provides suggestions for exercises and discussions, which makes the book useful as a textbook. The suggestions in the exercise and discussion section at the end of each chapter are simply delightful to read and provide a basis for some lively discussion and fun exercises by students. These exercises appear to be well thought out and are intended to highlight the content of the chapter. The notes at the end of chapters provide valuable data that help the reader to understand a topic or a reference to an entity that the reader may not know. Chapter 1 on "formalism," chapter 2 on "symbolic data," chapter 3 on "constraints on technology," and chapter 4 on "cultural constraints" are extremely well presented and every reader needs to read these chapters because they lay the foundation for most of the chapters that follow. The analogies, examples, and points of view presented make for some really interesting reading and lively debate and discussion. These chapters comprise Part 1 of the book and not only provide a foundation for the rest of the book but could be used alone as the basis of a social science course on computing, networking, and the Web. Chapters 5 and 6 on Internet protocols and the development of Web protocols may be more detailed and filled with more acronyms than the average person wants to deal with but content is presented with analogies and examples that make it easier to digest. Chapter 7 will capture most readers attention because it discusses how e-mail works and many of the issues with e-mail, which a majority of people in developed countries have dealt with. Chapter 8 is also one that most people will be interested in reading because it shows how Internet browsers work and the many issues such as security associated with these software entities. Chapter 9 discusses the what, why, and how of the World Wide Web, which is a lead-in to chapter 10 on "Searching the Web" and chapter 11 on "Organizing the Web-Portals," which are two chapters that even technically oriented people should read since it provides information that most people outside of information and library science are not likely to know.
Chapter 12 on "Web Presence" is a useful discussion of what it means to have a Web site that is indexed by a spider from a major Web search engine. Chapter 13 on "Mobile Computing" is very well done and gives the reader a solid basis of what is involved with mobile computing without overwhelming them with technical details. Chapter 14 discusses the difference between pull technologies and push technologies using the Web that is understandable to almost anyone who has ever used the Web. Chapters 15, 16, and 17 are for the technically stout at heart; they cover "Dynamic Web Pages," " Embedded Scripts," and "Peer-to-Peer Computing." These three chapters will tend to dampen the spirits of anyone who does not come from a technical background. Chapter 18 on "Symbolic Services-Information Providers" and chapter 19 on "OnLine Symbolic Services-Case Studies" are ideal for class discussion and students assignments as is chapter 20, "Online Retail Shopping-Physical Items." Chapter 21 presents a number of case studies on the "Technical Constraints" discussed in chapter 3 and chapter 22 presents case studies on the "Cultural Constraints" discussed in chapter 4. These case studies are not only presented in an interesting manner they focus on situations that most Web users have encountered but never really given much thought to. Chapter 24 "A Better Model?" discusses a combined "formalized/unformalized" model that might make Web applications such as banking and booking travel work better than the current models. This chapter will cause readers to think about the role of formalization and the unformalized processes that are involved in any application. Chapters 24, 25, 26, and 27 which discuss the role of "Data Exchange," "Formalized Data Exchange," "Electronic Data Interchange-EDI," and "XML" in business-to-business applications on the Web may stress the limits of the nontechnically oriented reader even though it is presented in a very understandable manner. Chapters 28, 29, 30, and 31 discuss Web services, the automated value chain, electronic market places, and outsourcing, which are of high interest to business students, businessmen, and designers of Web applications and can be skimmed by others who want to understand ebusiness but are not interested in the details. In Part 5, the chapters 32, 33, and 34 on "Interfacing with the Web of the Future," "A Disruptive Technology," "Virtual Businesses," and "Semantic Web," were, for me, who teaches courses in IT and develops ebusiness applications the most interesting chapters in the book because they provided some useful insights about what is likely to happen in the future. The summary in part 6 of the book is quite well done and I wish I had read it before I started reading the other parts of the book.
The book is quite large with over 400 pages and covers a myriad of topics, which is probably more than any one course could cover but an instructor could pick and choose those chapters most appropriate to the course content. The book could be used for multiple courses by selecting the relevant topics. I enjoyed the first person, rather down to earth, writing style and the number of examples and analogies that the author presented. I believe most people could relate to the examples and situations presented by the author. As a teacher in Information Technology, the discussion questions at the end of the chapters and the case studies are a valuable resource as are the end of chapter notes. I highly recommend this book for an introductory course that combines computing, networking, the Web, and ebusiness for Business and Social Science students as well as an introductory course for students in Information Science, Library Science, and Computer Science. Likewise, I believe IT managers and Web page designers could benefit from selected chapters in the book."

LCSH

World Wide Web

RSWK

Internet / World Wide Web / Electronic Commerce

Subject

Internet / World Wide Web / Electronic Commerce
World Wide Web