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  1. Between data science and applied data analysis : Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22-24, 2002 (2003) 0.10
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    Series
    Studies in classification, data analysis, and knowledge organization
  2. ¬The digital information revolution: [key presentations] : Superhighway symposium, FEI/EURIM Conference, November 16th & 17th 1994 [at the Central Hall, Westminster.] (1995) 0.08
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    Date
    22.10.2006 18:22:51
    LCSH
    Electronic data interchange / Congresses
    Subject
    Electronic data interchange / Congresses
  3. Lancaster, F.W.: Vocabulary control for information retrieval (1986) 0.06
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    Classification
    ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
    Date
    22. 4.2007 10:07:51
    RVK
    ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
  4. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.05
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
    LCSH
    Communication in science / Data processing
    Subject
    Communication in science / Data processing
  5. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.05
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    Abstract
    This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.
  6. Metadata and semantics research : 7th Research Conference, MTSR 2013 Thessaloniki, Greece, November 19-22, 2013. Proceedings (2013) 0.05
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    Abstract
    Metadata and semantics are integral to any information system and significant to the sphere of Web data. Research focusing on metadata and semantics is crucial for advancing our understanding and knowledge of metadata; and, more profoundly for being able to effectively discover, use, archive, and repurpose information. In response to this need, researchers are actively examining methods for generating, reusing, and interchanging metadata. Integrated with these developments is research on the application of computational methods, linked data, and data analytics. A growing body of work also targets conceptual and theoretical designs providing foundational frameworks for metadata and semantic applications. There is no doubt that metadata weaves its way into nearly every aspect of our information ecosystem, and there is great motivation for advancing the current state of metadata and semantics. To this end, it is vital that scholars and practitioners convene and share their work.
    The MTSR 2013 program and the contents of these proceedings show a rich diversity of research and practices, drawing on problems from metadata and semantically focused tools and technologies, linked data, cross-language semantics, ontologies, metadata models, and semantic system and metadata standards. The general session of the conference included 18 papers covering a broad spectrum of topics, proving the interdisciplinary field of metadata, and was divided into three main themes: platforms for research data sets, system architecture and data management; metadata and ontology validation, evaluation, mapping and interoperability; and content management. Metadata as a research topic is maturing, and the conference also supported the following five tracks: Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures; Metadata and Semantics for Cultural Collections and Applications; Metadata and Semantics for Agriculture, Food and Environment; Big Data and Digital Libraries in Health, Science and Technology; and European and National Projects, and Project Networking. Each track had a rich selection of papers, giving broader diversity to MTSR, and enabling deeper exploration of significant topics.
    All the papers underwent a thorough and rigorous peer-review process. The review and selection this year was highly competitive and only papers containing significant research results, innovative methods, or novel and best practices were accepted for publication. Only 29 of 89 submissions were accepted as full papers, representing 32.5% of the total number of submissions. Additional contributions covering noteworthy and important results in special tracks or project reports were accepted, totaling 42 accepted contributions. This year's conference included two outstanding keynote speakers. Dr. Stefan Gradmann, a professor arts department of KU Leuven (Belgium) and director of university library, addressed semantic research drawing from his work with Europeana. The title of his presentation was, "Towards a Semantic Research Library: Digital Humanities Research, Europeana and the Linked Data Paradigm". Dr. Michail Salampasis, associate professor from our conference host institution, the Department of Informatics of the Alexander TEI of Thessaloniki, presented new potential, intersecting search and linked data. The title of his talk was, "Rethinking the Search Experience: What Could Professional Search Systems Do Better?"
    Date
    17.12.2013 12:51:22
  7. Information visualization in data mining and knowledge discovery (2002) 0.05
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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
  8. Semantic keyword-based search on structured data sources : First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers (2016) 0.05
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    Abstract
    This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.
    Content
    Inhalt: Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking / Nürnberger, Andreas (et al.) - Recommending Web Pages Using Item-Based Collaborative Filtering Approaches / Cadegnani, Sara (et al.) - Processing Keyword Queries Under Access Limitations / Calì, Andrea (et al.) - Balanced Large Scale Knowledge Matching Using LSH Forest / Cochez, Michael (et al.) - Improving css-KNN Classification Performance by Shifts in Training Data / Draszawka, Karol (et al.) - Classification Using Various Machine Learning Methods and Combinations of Key-Phrases and Visual Features / HaCohen-Kerner, Yaakov (et al.) - Mining Workflow Repositories for Improving Fragments Reuse / Harmassi, Mariem (et al.) - AgileDBLP: A Search-Based Mobile Application for Structured Digital Libraries / Ifrim, Claudia (et al.) - Support of Part-Whole Relations in Query Answering / Kozikowski, Piotr (et al.) - Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors / Mughaz, Dror (et al.) - Visualization of Uncertainty in Tag Clouds / Platis, Nikos (et al.) - Multimodal Image Retrieval Based on Keywords and Low-Level Image Features / Pobar, Miran (et al.) - Toward Optimized Multimodal Concept Indexing / Rekabsaz, Navid (et al.) - Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives / Souza, Tarcisio (et al.) - Indexing of Textual Databases Based on Lexical Resources: A Case Study for Serbian / Stankovic, Ranka (et al.) - Domain-Specific Modeling: Towards a Food and Drink Gazetteer / Tagarev, Andrey (et al.) - Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications / Zhou, Yiwei (et al.)
    Date
    1. 2.2016 18:25:22
  9. Meadows, J.: Understanding information (2001) 0.04
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    Abstract
    Die moderne Gesellschaft leidet an Reizüberflutung durch Fernsehen, Internet, Zeitschriften aller Art. Jack Meadows, Professor für Bibliotheks- und Informationswissenschaft setzt sich mit Definitionen zu Begriffen wie 'Data', 'Information', 'Communication' oder 'Knowledge' auseinander, die für uns alläglich geworden sind. wie verarbeiten wir den Fluss von wichtigen und unwichtigen Informationen, der täglich auf uns einströmt? Welche 'Daten' sind es für uns Wert, gespeichert zu werden, welche vergessen wir nach kurzer Zeit? Wann wird aus Information Wissen oder gar Weisheit? Das Buch ist eine grundlegende Einführung in das weitläufige Thema Information und Wissensmanagement
    Date
    15. 6.2002 19:22:01
  10. Ceri, S.; Bozzon, A.; Brambilla, M.; Della Valle, E.; Fraternali, P.; Quarteroni, S.: Web Information Retrieval (2013) 0.04
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    Abstract
    With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.
    Date
    16.10.2013 19:22:44
    Series
    Data-Centric Systems and Applications
  11. Panizzi, A.K.C.B.: Passages in my official life (1871) 0.03
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    Date
    22. 7.2007 12:05:26
    22. 7.2007 12:08:24
  12. Advances in librarianship (1998) 0.03
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    Issue
    Vol.22.
    Signature
    78 BAHH 1089-22
  13. Mattison, R.: Data warehousing and data mining for telecommunications (1997) 0.03
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    Theme
    Data Mining
  14. Parrochia, D.; Neuville, D.: Towards a general theory of classifications (2013) 0.03
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    Content
    Philosophical problemsInformation / data structures / Empirical clustering and classic hierarchies / Algebra of trees / Generalized classifications / Topology of generalized classifications / Metaclassification / For an axiomatic theory of classifications / Alternative theories and higher infinite / Postscript.
    Date
    8. 9.2016 22:04:09
  15. ¬The digital university : building a learning community (2002) 0.03
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    Date
    22. 3.2008 14:43:03
    LCSH
    Education, Higher / Great Britain / Data processing
    Subject
    Education, Higher / Great Britain / Data processing
  16. Boczkowski, P.; Mitchelstein, E.: ¬The digital environment : How we live, learn, work, and play now (2021) 0.03
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    Abstract
    Increasingly we live through our personal screens; we work, play, socialize, and learn digitally. The shift to remote everything during the pandemic was another step in a decades-long march toward the digitization of everyday life made possible by innovations in media, information, and communication technology. In The Digital Environment, Pablo Boczkowski and Eugenia Mitchelstein offer a new way to understand the role of the digital in our daily lives, calling on us to turn our attention from our discrete devices and apps to the array of artifacts and practices that make up the digital environment that envelops every aspect of our social experience. Boczkowski and Mitchelstein explore a series of issues raised by the digital takeover of everyday life, drawing on interviews with a variety of experts. They show how existing inequities of gender, race, ethnicity, education, and class are baked into the design and deployment of technology, and describe emancipatory practices that counter this--including the use of Twitter as a platform for activism through such hashtags as #BlackLivesMatter and #MeToo. They discuss the digitization of parenting, schooling, and dating--noting, among other things, that today we can both begin and end relationships online. They describe how digital media shape our consumption of sports, entertainment, and news, and consider the dynamics of political campaigns, disinformation, and social activism. Finally, they report on developments in three areas that will be key to our digital future: data science, virtual reality, and space exploration.
    Content
    1. Three Environments, One Life -- Part I: Foundations -- 2. Mediatization -- 3. Algorithms -- 4. Race and Ethnicity -- 5. Gender -- Part II: Institutions -- 6. Parenting -- 7. Schooling -- 8. Working -- 9. Dating -- Part III: Leisure -- 10. Sports -- 11. Televised Entertainment -- 12. News -- Part IV: Politics -- 13. Misinformation and Disinformation -- 14. Electoral Campaigns -- 15. Activism -- Part V: Innovations -- 16. Data Science -- 17. Virtual Reality -- 18. Space Exploration -- 19. Bricks and Cracks in the Digital Environment
    Date
    22. 6.2023 18:25:18
  17. Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.03
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    Abstract
    "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
    Content
    Provocations -- What are data? -- Data scholarship -- Data diversity -- Data scholarship in the sciences -- Data scholarship in the social sciences -- Data scholarship in the humanities -- Sharing, releasing, and reusing data -- Credit, attribution, and discovery of data -- What to keep and why to keep them.
    LCSH
    Research / Data processing
    Subject
    Research / Data processing
  18. Olsen, K.A.: ¬The Internet, the Web, and eBusiness : formalizing applications for the real world (2005) 0.03
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    Classification
    004.678 22
    DDC
    004.678 22
    Footnote
    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.
  19. Chomsky, N.: Aspects of the theory of syntax (1965) 0.03
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    Date
    6. 1.1999 10:29:22
  20. Trauth, E.M.: Qualitative research in IS : issues and trends (2001) 0.03
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    Date
    25. 3.2003 15:35:22

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