Search (4 results, page 1 of 1)

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Abstract

The book's central thesis is that information literacy, information architecture, and usability are all critical components of this new world order. Hand in hand with that is the contention that only by planning and designing the best possible software, devices, and Internet, will we be able to maintain this connectivity in the future. Morville's book is highlighted with full color illustrations and rich examples that bring his prose to life. Ambient Findability doesn't preach or pretend to know all the answers. Instead, it presents research, stories, and examples in support of its novel ideas. Are w truly at a critical point in our evolution where the quality of our digital networks will dictate how we behave as a species? Is findability indeed the primary key to a successful global marketplace in the 21st century and beyond. Peter Morville takes you on a thought-provoking tour of these memes and more -- ideas that will not only fascinate but will stir your creativity in practical ways that you can apply to your work immediately.

Footnote

Rez. in: nfd - Information Wissenschaft und Praxis 57(2006) H.3, S.177-178 (D. Lewandowski): "Wohl unbestritten ist, dass die Suche in Informationsbeständen eine immer größere Bedeutung erhält. Wir suchen nicht nur noch explizit, indem wir ein Informationssystem anwählen und dort eine Suche absetzen, sondern verwenden Suchfunktionen innerhalb von Programmen, auf Websites, innerhalb des Betriebssystems unseres Computers oder sogar ziemlich unbewusst, indem wir Informationen maßgeschneidert aufgrund einer einmal hinterlegten Suche oder eines automatisch erstellten Suchprofils erhalten. Man kann also in der Tat davon sprechen, dass wir von der Suche umgeben werden. Das ist mit dem Konzept der "Ambient Findability" gemeint. Angelehnt ist diese Bezeichnung an den Begriff der "Ambient Music" (in den 70er Jahren durch Brian Eno geprägt), die den Hörer umgibt und von ihm oft gar nicht aktiv wahrgenommen wird. Um eine Vorstellung von dieser Musik zu bekommen, eignet sich vielleicht am besten der Titel einer Platte eben von Brian Eno: "Music for Airports". Peter Morville, bekannt als Co-Autor des empfehlenswerten Buchs "Information Architecture for the World Wide Web"', hat sich nun mit der Veränderung der Suche auseinandergesetzt. Sein Buch bedient sich in ganz unterschiedlichen Disziplinen, um die Prozesse des Suchens, Stöberns und Findens aufzuzeigen. So finden sich Betrachtungen über die Orientierung des Menschen in unbekannten Umgebungen, über die Interaktion mit Informationssystemen, über das soziale Verhalten der Web-Nutzer (Stichworte: Content-Tagging, Folksonomies, Social Networking) und über technische Veränderungen durch die Verfügbarkeit von Informationssystemen in allen Lebenskontexten, vor allem auch über mobile Endgeräte. Das Buch ist in sieben Kapitel gegliedert. Das erste, "Lost and Found" betitelt, bietet auf wenigen Seiten die Definitionen der zentralen Begriffe ambient und findability, erläutert kurz das Konzept der Information Literacy und zeigt, dass die bessere Auffindbarkeit von Informationen nicht nur ein schöner Zusatznutzen ist, sondern sich für Unternehmen deutlich auszahlt.

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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

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Abstract

This book offers a comprehensive introduction to the exploding field of data mining. We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today's data sets, a new term, data mining, was created to describe the indirect, automatic data analysis techniques that utilize more complex and sophisticated tools than those which analysts used in the past to do mere data analysis. "Data Mining: Concepts, Models, Methods, and Algorithms" discusses data mining principles and then describes representative state-of-the-art methods and algorithms originating from different disciplines such as statistics, machine learning, neural networks, fuzzy logic, and evolutionary computation. Detailed algorithms are provided with necessary explanations and illustrative examples. This text offers guidance: how and when to use a particular software tool (with their companion data sets) from among the hundreds offered when faced with a data set to mine. This allows analysts to create and perform their own data mining experiments using their knowledge of the methodologies and techniques provided. This book emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning. These critically important, qualitative decisions can only be made with the deeper understanding of parameter meaning and its role in the technique that is offered here. Data mining is an exploding field and this book offers much-needed guidance to selecting among the numerous analysis programs that are available.

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Date

22. 3.2008 12:26:32