PUMA publications for /tag/irhttps://puma.uni-kassel.de/tag/irPUMA RSS feed for /tag/ir2024-03-28T23:21:49+01:00Repositorien heute und morgen - Ein Überblickhttps://puma.uni-kassel.de/bibtex/2a3733c8fed1773f8d5e9b279e0482c92/steenweg2steenweg22015-01-21T17:14:48+01:00DOAR DSpace EPrints IR Repositorien informationsmanagement institutional myown repository <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Helge Steenweg" itemprop="url" href="/author/Helge%20Steenweg"><span itemprop="name">H. Steenweg</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Bibliotheken für die Zukunft - Zukunft für die Bibliotheken. 100. Deutscher Bibliothekartag in Berlin 2011</span>, </em><em><span itemprop="publisher">Olms</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Wed Jan 21 17:14:48 CET 2015Bibliotheken für die Zukunft - Zukunft für die Bibliotheken. 100. Deutscher Bibliothekartag in Berlin 201194 - 106.Repositorien heute und morgen - Ein Überblick2012DOAR DSpace EPrints IR Repositorien informationsmanagement institutional myown repository Repositorien stellen heute einen festen Bestandteil der Bibliothekslandschaft dar. Fast jede Bibliothek verfügt über ein Institutional Repository, sei es selbst installiert oder gehostet. Die jeweils benutzte Repositoriensoftware ist gemessen an der Zahl der Systeme übersichtlich, jedoch in den Funktionen und Ansätzen durchaus unterschiedlich. In der letzten Zeit gibt es einiges an Bewegung. Sehr deutlich ist dies in den entsprechenden Repository-Verzeichnissen statistisch ablesbar. Die Zahl der stetig weiterentwickelten Softwaresysteme verringert sich, einige Systeme werden über den eigentlichen Repositorybereich ausgebaut (z.B. zu Forschungsinformationssystemen) oder schliessen sich zusammen. Auch in Deutschland lassen sich diese Veränderungen erkennen. Ziel der Blockveranstaltung auf dem Bibliothekartag war, eine Bestandsaufnahme der wichtigsten Repositorien-Systeme zu leisten und die heutige und zukünftige Entwicklung dieser Systeme zu skizzieren. Berichtet wurde über den Entwicklungsstand der Systeme DSpace, EPrints, eSciDoc/Fedora, MyCoRe und OPUS.Neuere Entwicklungen im Informations- und Publikationswesen und ihre möglichen Auswirkungenhttps://puma.uni-kassel.de/bibtex/28ffaeaf3cbc35354380da6a0a7c32aac/steenweg2steenweg22015-01-21T17:14:48+01:002004 bibliothek entwicklungen informationsvermittlung institutional-repositories ir myown publikationswesen repository ub universitätsbibliothek <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Helge Steenweg" itemprop="url" href="/author/Helge%20Steenweg"><span itemprop="name">H. Steenweg</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>ABI-Technik</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">24 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">282-293.</span></em> </span>(<em><span>2004<meta content="2004" itemprop="datePublished"/></span></em>)Wed Jan 21 17:14:48 CET 2015ABI-Technik4282-293.Neuere Entwicklungen im Informations- und Publikationswesen und ihre möglichen Auswirkungen2420042004 bibliothek entwicklungen informationsvermittlung institutional-repositories ir myown publikationswesen repository ub universitätsbibliothek Ausgehend von neueren Entwicklungen im Publikations- und Informationswesen, die einen nicht unwesentlichen Einfluss auf das zukünftige wissenschaftliche Publizieren haben werden, wird der künftige Zugriff auf Open-Access-Archive thematisiert. Um dringend notwendige Veränderungen herbeizuführen, bedarf es neben einem Mentalitätswandel bei den Autoren auch der Schaffung einer funktionierenden umfassenden Infrastruktur von Dokumentenservern mit Recherche und Archivierung, um die nötige Akzeptanz bei Autoren und Lesern zu erlangen. Eine Möglichkeit dazu böte eine OpenRep-Initiative, ein Netz von modular aufgebauten "Institutional Repositories".Introduction to Information Retrievalhttps://puma.uni-kassel.de/bibtex/29f4ab13e07b48b9723113aa74224be65/hothohotho2014-11-20T09:05:37+01:00information introduction ir retrieval sota <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christopher D. Manning" itemprop="url" href="/author/Christopher%20D.%20Manning"><span itemprop="name">C. Manning</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Prabhakar Raghavan" itemprop="url" href="/author/Prabhakar%20Raghavan"><span itemprop="name">P. Raghavan</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hinrich Schütze" itemprop="url" href="/author/Hinrich%20Sch%c3%bctze"><span itemprop="name">H. Schütze</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Thu Nov 20 09:05:37 CET 2014Introduction to Information Retrieval2008information introduction ir retrieval sota Introduction to Information RetrievalText Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Researchhttps://puma.uni-kassel.de/bibtex/2f6eddba1f2c6b7cdbfa67a0c79ae5ae8/stummestumme2014-06-30T16:22:33+02:00FCA IR Mining SOTA Text <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jonas Poelmans" itemprop="url" href="/author/Jonas%20Poelmans"><span itemprop="name">J. Poelmans</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="DmitryI. Ignatov" itemprop="url" href="/author/DmitryI.%20Ignatov"><span itemprop="name">D. Ignatov</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stijn Viaene" itemprop="url" href="/author/Stijn%20Viaene"><span itemprop="name">S. Viaene</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guido Dedene" itemprop="url" href="/author/Guido%20Dedene"><span itemprop="name">G. Dedene</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="SergeiO. Kuznetsov" itemprop="url" href="/author/SergeiO.%20Kuznetsov"><span itemprop="name">S. Kuznetsov</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Advances in Data Mining. Applications and Theoretical Aspects</span>, </em><em>Volume 7377 von Lecture Notes in Computer Science, </em><em><span itemprop="publisher">Springer Berlin Heidelberg</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Mon Jun 30 16:22:33 CEST 2014Advances in Data Mining. Applications and Theoretical Aspects273-287Lecture Notes in Computer ScienceText Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research73772012FCA IR Mining SOTA Text Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research - SpringerAttribute Exploration on the Webhttps://puma.uni-kassel.de/bibtex/245e900e280661d775d8da949baee3747/stummestumme2013-12-16T17:19:49+01:002013 acquisition analysis attribute computing concept crowdsourcing data exploration fca formal human information ir iteg knowledge l3s linked lod open retrieval search sparql web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sebastian Rudolph" itemprop="url" href="/author/Sebastian%20Rudolph"><span itemprop="name">S. Rudolph</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Contributions to the 11th International Conference on Formal Concept Analysis</span>, </em></span><em>Seite <span itemprop="pagination">19--34</span>. </em><em>Technische Universität Dresden, </em>(<em><span>Mai 2013<meta content="Mai 2013" itemprop="datePublished"/></span></em>)Mon Dec 16 17:19:49 CET 2013Contributions to the 11th International Conference on Formal Concept Analysismay19--34Attribute Exploration on the Web20132013 acquisition analysis attribute computing concept crowdsourcing data exploration fca formal human information ir iteg knowledge l3s linked lod open retrieval search sparql web We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.Citation context analysis for information retrievalhttps://puma.uni-kassel.de/bibtex/2aa4271a2a958fe2c1a65dbdd508d8de7/jaeschkejaeschke2013-03-22T10:39:40+01:00citation context information ir retrieval scientometrics <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Anna Ritchie" itemprop="url" href="/author/Anna%20Ritchie"><span itemprop="name">A. Ritchie</span></a></span>. </span><em>744. </em><em><span itemprop="producer">University of Cambridge</span>, </em><em>Cambridge, UK, </em>(<em><span>März 2009<meta content="März 2009" itemprop="datePublished"/></span></em>)Fri Mar 22 10:39:40 CET 2013Cambridge, UKmar744Citation context analysis for information retrieval2009citation context information ir retrieval scientometrics This thesis investigates taking words from around citations to scientific papers in order to create an enhanced document representation for improved information retrieval. This method parallels how anchor text is commonly used in Web retrieval. In previous work, words from citing documents have been used as an alternative representation of the cited document but no previous experiment has combined them with a full-text document representation and measured effectiveness in a large scale evaluation. The contributions of this thesis are twofold: firstly, we present a novel document representation, along with experiments to measure its effect on retrieval effectiveness, and, secondly, we document the construction of a new, realistic test collection of scientific research papers, with references (in the bibliography) and their associated citations (in the running text of the paper) automatically annotated. Our experiments show that the citation-enhanced document representation increases retrieval effectiveness across a range of standard retrieval models and evaluation measures. In Chapter 2, we give the background to our work, discussing the various areas from which we draw together ideas: information retrieval, particularly link structure analysis and anchor text indexing, and bibliometrics, in particular citation analysis. We show that there is a close relatedness of ideas between these areas but that these ideas have not been fully explored experimentally. Chapter 3 discusses the test collection paradigm for evaluation of information retrieval systems and describes how and why we built our test collection. In Chapter 4, we introduce the ACL Anthology, the archive of computational linguistics papers that our test collection is centred around. The archive contains the most prominent publications since the beginning of the field in the early 1960s, consisting of one journal plus conferences and workshops, resulting in over 10,000 papers. Chapter 5 describes how the PDF papers are prepared for our experiments, including identification of references and citations in the papers, once converted to plain text, and extraction of citation information to an XML database. Chapter 6 presents our experiments: we show that adding citation terms to the full-text of the papers improves retrieval effectiveness by up to 7.4%, that weighting citation terms higher relative to paper terms increases the improvement and that varying the context from which citation terms are taken has a significant effect on retrieval effectiveness. Our main hypothesis that citation terms enhance a full-text representation of scientific papers is thus proven. There are some limitations to these experiments. The relevance judgements in our test collection are incomplete but we have experimentally verified that the test collection is, nevertheless, a useful evaluation tool. Using the Lemur toolkit constrained the method that we used to weight citation terms; we would like to experiment with a more realistic implementation of term weighting. Our experiments with different citation contexts did not conclude an optimal citation context; we would like to extend the scope of our investigation. Now that our test collection exists, we can address these issues in our experiments and leave the door open for more extensive experimentation. Introduction to Information Retrievalhttps://puma.uni-kassel.de/bibtex/29f4ab13e07b48b9723113aa74224be65/stephandoerfelstephandoerfel2013-01-18T11:29:26+01:00book citedBy:doerfel2012leveraging information introduction ir retrieval <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christopher D. Manning" itemprop="url" href="/author/Christopher%20D.%20Manning"><span itemprop="name">C. Manning</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Prabhakar Raghavan" itemprop="url" href="/author/Prabhakar%20Raghavan"><span itemprop="name">P. Raghavan</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hinrich Schütze" itemprop="url" href="/author/Hinrich%20Sch%c3%bctze"><span itemprop="name">H. Schütze</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em><em>New York, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Fri Jan 18 11:29:26 CET 2013New YorkIntroduction to Information Retrieval2008book citedBy:doerfel2012leveraging information introduction ir retrieval "Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description.FooCA: web information retrieval with formal concept analysishttps://puma.uni-kassel.de/bibtex/25571d950ada3ee1892e5c043ac438271/jaeschkejaeschke2012-11-16T12:23:46+01:00analysis concept fca fooca formal information ir retrieval web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bjoern Koester" itemprop="url" href="/author/Bjoern%20Koester"><span itemprop="name">B. Koester</span></a></span>. </span><em>Beiträge zur begrifflichen Wissensverarbeitung </em><em><span itemprop="publisher">Verlag Allgemeine Wissenschaft</span>, </em><em>Mühltal, </em>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Fri Nov 16 12:23:46 CET 2012MühltalBeiträge zur begrifflichen WissensverarbeitungFooCA: web information retrieval with formal concept analysis2006analysis concept fca fooca formal information ir retrieval web This book deals with Formal Concept Analysis (FCA) and its application to Web Information Retrieval. It explains how Web search results retrieved by major Web search engines such as Google or Yahoo can be conceptualized leading to a human-oriented form of representation. A generalization of Web search results is conducted, leading to an FCA-based introduction of FooCA. FooCA is an application in the field of Conceptual Knowledge Processing and supports the idea of a holistic representation of Web Information Retrieval.Optimizing search engines using clickthrough datahttps://puma.uni-kassel.de/bibtex/2656a83f1057c5792506d0d656ae81d26/jaeschkejaeschke2012-10-23T09:32:01+02:00click data feedback information ir letor retrieval search user web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thorsten Joachims" itemprop="url" href="/author/Thorsten%20Joachims"><span itemprop="name">T. Joachims</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining</span>, </em></span><em>Seite <span itemprop="pagination">133--142</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2002<meta content="2002" itemprop="datePublished"/></span></em>)Tue Oct 23 09:32:01 CEST 2012New York, NY, USAProceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining133--142Optimizing search engines using clickthrough data2002click data feedback information ir letor retrieval search user web This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system should present relevant documents high in the ranking, with less relevant documents following below. While previous approaches to learning retrieval functions from examples exist, they typically require training data generated from relevance judgments by experts. This makes them difficult and expensive to apply. The goal of this paper is to develop a method that utilizes clickthrough data for training, namely the query-log of the search engine in connection with the log of links the users clicked on in the presented ranking. Such clickthrough data is available in abundance and can be recorded at very low cost. Taking a Support Vector Machine (SVM) approach, this paper presents a method for learning retrieval functions. From a theoretical perspective, this method is shown to be well-founded in a risk minimization framework. Furthermore, it is shown to be feasible even for large sets of queries and features. The theoretical results are verified in a controlled experiment. It shows that the method can effectively adapt the retrieval function of a meta-search engine to a particular group of users, outperforming Google in terms of retrieval quality after only a couple of hundred training examples.Creating a searchable web archivehttps://puma.uni-kassel.de/bibtex/2da5b8a339b2c3d765c3b0a7bd025af82/jaeschkejaeschke2012-09-26T18:19:30+02:00archive information ir retrieval search web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Gomes" itemprop="url" href="/author/Daniel%20Gomes"><span itemprop="name">D. Gomes</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="David Cruz" itemprop="url" href="/author/David%20Cruz"><span itemprop="name">D. Cruz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="João Miranda" itemprop="url" href="/author/Jo%c3%a3o%20Miranda"><span itemprop="name">J. Miranda</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Miguel Costa" itemprop="url" href="/author/Miguel%20Costa"><span itemprop="name">M. Costa</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Simão Fontes" itemprop="url" href="/author/Sim%c3%a3o%20Fontes"><span itemprop="name">S. Fontes</span></a></span>. </span><em><span itemprop="producer">Foundation for National Scientific Computing</span>, </em><em>Portugal, </em>(<em><span>Mai 2012<meta content="Mai 2012" itemprop="datePublished"/></span></em>)Wed Sep 26 18:19:30 CEST 2012PortugalmayCreating a searchable web archive2012archive information ir retrieval search web The web became a mass means of publication that has been replacing printed media. However, its information is extremely ephemeral. Currently, most of the information available on the web is less than 1 year old. There are several initiatives worldwide that struggle to archive information from the web before it vanishes. However, search mechanisms to access this information are still limited and do not satisfy their users that demand performance similar to live- web search engines. This paper presents some of the work developed to create an effi�cient and effective searchable web archive service, from data acquisition to user interface design. The results of research were applied in practice to create the Portuguese Web Archive that is publicly available since January 2010. It supports full-text search over 1 billion contents archived from 1996 to 2010. The developed software is available as an open source project.Crowdsourcing for relevance evaluationhttps://puma.uni-kassel.de/bibtex/24a47833e85558b740788607cb79ba795/jaeschkejaeschke2012-09-18T16:50:58+02:00crowdsourcing evaluation ir relevance <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Omar Alonso" itemprop="url" href="/author/Omar%20Alonso"><span itemprop="name">O. Alonso</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel E. Rose" itemprop="url" href="/author/Daniel%20E.%20Rose"><span itemprop="name">D. Rose</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Stewart" itemprop="url" href="/author/Benjamin%20Stewart"><span itemprop="name">B. Stewart</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>SIGIR Forum</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">42 </span></span>(<span itemprop="issueNumber">2</span>):
<span itemprop="pagination">9--15</span></em> </span>(<em><span>November 2008<meta content="November 2008" itemprop="datePublished"/></span></em>)Tue Sep 18 16:50:58 CEST 2012New York, NY, USASIGIR Forumnov29--15Crowdsourcing for relevance evaluation422008crowdsourcing evaluation ir relevance Relevance evaluation is an essential part of the development and maintenance of information retrieval systems. Yet traditional evaluation approaches have several limitations; in particular, conducting new editorial evaluations of a search system can be very expensive. We describe a new approach to evaluation called TERC, based on the crowdsourcing paradigm, in which many online users, drawn from a large community, each performs a small evaluation task.Comprehensive Survey on Distance/Similarity Measures between Probability Density Functionshttps://puma.uni-kassel.de/bibtex/269e7c9ba92a049efa4c70f8f0bfdb4ea/jaeschkejaeschke2012-06-07T16:45:15+02:00distance information ir measure retrieval similarity <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sung-Hyuk Cha" itemprop="url" href="/author/Sung-Hyuk%20Cha"><span itemprop="name">S. Cha</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>International Journal of Mathematical Models and Methods in Applied Sciences</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">1 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">300--307</span></em> </span>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Thu Jun 07 16:45:15 CEST 2012International Journal of Mathematical Models and Methods in Applied Sciences4300--307Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions12007distance information ir measure retrieval similarity Distance or similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various distance/similarity measures that are applicable to compare two probability density functions, pdf in short, are reviewed and categorized in both syntactic and semantic relationships. A correlation coefficient and a hierarchical clustering technique are adopted to reveal similarities among numerous distance/similarity measures.Introduction to Information Retrievalhttps://puma.uni-kassel.de/bibtex/29f4ab13e07b48b9723113aa74224be65/jaeschkejaeschke2012-06-06T11:12:49+02:00information ir retrieval <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christopher D. Manning" itemprop="url" href="/author/Christopher%20D.%20Manning"><span itemprop="name">C. Manning</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Prabhakar Raghavan" itemprop="url" href="/author/Prabhakar%20Raghavan"><span itemprop="name">P. Raghavan</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hinrich Schütze" itemprop="url" href="/author/Hinrich%20Sch%c3%bctze"><span itemprop="name">H. Schütze</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em><em>New York, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Wed Jun 06 11:12:49 CEST 2012New YorkIntroduction to Information Retrieval2008information ir retrieval "Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description.Journeys through world politics : autobiographical reflections of thirty-four academic travelershttps://puma.uni-kassel.de/bibtex/2416d04848da03bb536de9960dac335fb/droesslerdroessler2012-05-31T18:19:19+02:00IR InternationaleBeziehungen autobiografien geschichte <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Joseph Kruzel" itemprop="url" href="/author/Joseph%20Kruzel"><span itemprop="name">J. Kruzel</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="James N. Rosenau" itemprop="url" href="/author/James%20N.%20Rosenau"><span itemprop="name">J. Rosenau</span></a></span>. </span><em><span itemprop="publisher">Lexington Books</span>, </em><em>Lexington, Mass., </em>(<em><span>1989<meta content="1989" itemprop="datePublished"/></span></em>)Thu May 31 18:19:19 CEST 2012Lexington, Mass.Journeys through world politics : autobiographical reflections of thirty-four academic travelers1989IR InternationaleBeziehungen autobiografien geschichte Journeys Through World Politics: Autobiographical Reflections of Thirty-Four Academic Travelers (Issues in World Politics): Amazon.de: Joseph Kruzel, James N. Rosenau: Englische BücherText Mining Scientific Papers: a Survey on FCA-based Information Retrieval Research.https://puma.uni-kassel.de/bibtex/2164c37be60c1a47d1727ad9b82f01237/jaeschkejaeschke2012-02-23T14:50:59+01:00analysis concept fca formal information ir retrieval <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jonas Poelmans" itemprop="url" href="/author/Jonas%20Poelmans"><span itemprop="name">J. Poelmans</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Paul Elzinga" itemprop="url" href="/author/Paul%20Elzinga"><span itemprop="name">P. Elzinga</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stijn Viaene" itemprop="url" href="/author/Stijn%20Viaene"><span itemprop="name">S. Viaene</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guido Dedene" itemprop="url" href="/author/Guido%20Dedene"><span itemprop="name">G. Dedene</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sergei O. Kuznetsov" itemprop="url" href="/author/Sergei%20O.%20Kuznetsov"><span itemprop="name">S. Kuznetsov</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Industrial Conference on Data Mining - Poster and Industry Proceedings</span>, </em></span><em>Seite <span itemprop="pagination">82--96</span>. </em><em><span itemprop="publisher">IBaI Publishing</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Thu Feb 23 14:50:59 CET 2012Industrial Conference on Data Mining - Poster and Industry Proceedings82--96Text Mining Scientific Papers: a Survey on {FCA}-based Information Retrieval Research.2011analysis concept fca formal information ir retrieval Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research. Repositorien heute und morgen - Ein Überblickhttps://puma.uni-kassel.de/bibtex/2a3733c8fed1773f8d5e9b279e0482c92/steenwegsteenweg2011-12-05T17:35:11+01:00DOAR DSpace EPrints IR Repositorien informationsmanagement institutional myown repository <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Helge Steenweg" itemprop="url" href="/author/Helge%20Steenweg"><span itemprop="name">H. Steenweg</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Bibliotheken für die Zukunft - Zukunft für die Bibliotheken. 100. Deutscher Bibliothekartag in Berlin 2011</span>, </em><em><span itemprop="publisher">Olms</span>, </em></span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Mon Dec 05 17:35:11 CET 2011Bibliotheken für die Zukunft - Zukunft für die Bibliotheken. 100. Deutscher Bibliothekartag in Berlin 201194 - 106.Repositorien heute und morgen - Ein Überblick2012DOAR DSpace EPrints IR Repositorien informationsmanagement institutional myown repository Repositorien stellen heute einen festen Bestandteil der Bibliothekslandschaft dar. Fast jede Bibliothek verfügt über ein Institutional Repository, sei es selbst installiert oder gehostet. Die jeweils benutzte Repositoriensoftware ist gemessen an der Zahl der Systeme übersichtlich, jedoch in den Funktionen und Ansätzen durchaus unterschiedlich. In der letzten Zeit gibt es einiges an Bewegung. Sehr deutlich ist dies in den entsprechenden Repository-Verzeichnissen statistisch ablesbar. Die Zahl der stetig weiterentwickelten Softwaresysteme verringert sich, einige Systeme werden über den eigentlichen Repositorybereich ausgebaut (z.B. zu Forschungsinformationssystemen) oder schliessen sich zusammen. Auch in Deutschland lassen sich diese Veränderungen erkennen. Ziel der Blockveranstaltung auf dem Bibliothekartag war, eine Bestandsaufnahme der wichtigsten Repositorien-Systeme zu leisten und die heutige und zukünftige Entwicklung dieser Systeme zu skizzieren. Berichtet wurde über den Entwicklungsstand der Systeme DSpace, EPrints, eSciDoc/Fedora, MyCoRe und OPUS.FolkRank: A Ranking Algorithm for Folksonomieshttps://puma.uni-kassel.de/bibtex/24d8b4f79814691fbe6db8357d63206a1/itegiteg2011-11-22T10:26:32+01:002006 algorithm folkrank ir itegpub l3s myown nepomuk pagerank ranking <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. FGIR 2006</span>, </em></span>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011Proc. FGIR 2006FolkRank: A Ranking Algorithm for Folksonomies20062006 algorithm folkrank ir itegpub l3s myown nepomuk pagerank ranking In social bookmark tools users are setting up
lightweight conceptual structures called folksonomies. Currently,
the information retrieval support is limited. We present a formal
model and a new search algorithm for folksonomies, called
FolkRank, that exploits the structure of the folksonomy. The
proposed algorithm is also applied to find communities within the
folksonomy and is used to structure search results. All findings are
demonstrated on a large scale dataset. A long version of this paper
has been published at the European Semantic Web Conference
2006.Information Retrieval in Folksonomies: Search and Rankinghttps://puma.uni-kassel.de/bibtex/2b1e4dabc5b558aeea1b839a7f123eef1/itegiteg2011-11-22T10:26:32+01:002006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert J?schke" itemprop="url" href="/author/Robert%20J%3fschke"><span itemprop="name">R. J?schke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">The Semantic Web: Research and Applications</span>, </em></span><em>Volume 4011 von LNAI, </em><em>Seite <span itemprop="pagination">411-426</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>Juni 2006<meta content="Juni 2006" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking401120062006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval Mining the World Wide Web -- Methods, Ap-
plications, and Perspectiveshttps://puma.uni-kassel.de/bibtex/2e9535ec82afa53f44a1b37704aa9a71f/itegiteg2011-11-22T10:26:32+01:002007 introduction ir itegpub ki mining ml myown web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Künstliche Intelligenz</em></span></span> </span>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011Künstliche Intelligenz35-8Mining the World Wide Web -- Methods, Ap-
plications, and Perspectives20072007 introduction ir itegpub ki mining ml myown web Information Retrieval in Folksonomies: Search and Rankinghttps://puma.uni-kassel.de/bibtex/23c301945817681d637ee43901c016939/itegiteg2011-11-22T10:26:32+01:002006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">The Semantic Web: Research and Applications</span>, </em></span><em>Volume 4011 von LNAI, </em><em>Seite <span itemprop="pagination">411-426</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>Juni 2006<meta content="Juni 2006" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking401120062006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval