Search (5 results, page 1 of 1)

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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.

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Abstract

An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.

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Content

Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].

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Content

Topic Maps - Einführung in den ISO Standard (Topics, Associations, Scopes, Facets, Topic Maps).- Grundlagen von XML (Aufbau, Bestandteile, Element- und Attributdefinitionen, DTD, XLink, XPointer).- Wie entsteht ein Heringsschmaus? Konkretes Beispiel einer Topic Map.Topic Maps - Meta DTD. Die formale Beschreibung des Standards.- HyTime als zugrunde liegender Formalismus (Bounded Object Sets, Location Addressing, Hyperlinks in HyTime).- Prototyp eines Topic Map Repositories (Entwicklungsprozess für Topic Maps, Prototyp Spezifikation, technische Realisierung des Prototyps).- Semantisches Datenmodell zur Speicherung von Topic Maps.- Prototypische Abfragesprache für Topic Maps.- Erweiterungsvorschläge für den ISO Standard.

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Content

I. Suchmaschinenlandschaft Der Markt für Internet-Suchmaschinen - Christian Maaß, Andre Skusa, Andreas Heß und Gotthard Pietsch Typologie der Suchdienste im Internet - Joachim Griesbaum, Bernard Bekavac und Marc Rittberger Spezialsuchmaschinen - Dirk Lewandowski Suchmaschinenmarketing - Carsten D. Schultz II. Suchmaschinentechnologie Ranking-Verfahren für Web-Suchmaschinen - Philipp Dopichaj Programmierschnittstellen der kommerziellen Suchmaschinen - Fabio Tosques und Philipp Mayr Personalisierung der Internetsuche - Lösungstechniken und Marktüberblick - Kai Riemer und Fabian Brüggemann III. Nutzeraspekte Methoden der Erhebung von Nutzerdaten und ihre Anwendung in der Suchmaschinenforschung - Nadine Höchstötter Standards der Ergebnispräsentation - Dirk Lewandowski und Nadine Höchstötter Universal Search - Kontextuelle Einbindung von Ergebnissen unterschiedlicher Quellen und Auswirkungen auf das User Interface - Sonja Quirmbach Visualisierungen bei Internetsuchdiensten - Thomas Weinhold, Bernard Bekavac, Sonja Hierl, Sonja Öttl und Josef Herget IV. Recht und Ethik Datenschutz bei Suchmaschinen - Thilo Weichert Moral und Suchmaschinen - Karsten Weber V. Vertikale Suche Enterprise Search - Suchmaschinen für Inhalte im Unternehmen - Julian Bahrs Wissenschaftliche Dokumente in Suchmaschinen - Dirk Pieper und Sebastian Wolf Suchmaschinen für Kinder - Maria Zens, Friederike Silier und Otto Vollmers