PUMA publications for /user/stephandoerfel/irhttps://puma.uni-kassel.de/user/stephandoerfel/irPUMA RSS feed for /user/stephandoerfel/ir2024-03-28T18:58:55+01:00Introduction 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.Folksonomies in Wissensrepräsentation und Information Retrievalhttps://puma.uni-kassel.de/bibtex/23abe2759f6837cbd247021cb26bcf760/stephandoerfelstephandoerfel2010-11-23T17:13:54+01:00folksonomy information ir retrieval wissensrepräsentation übersicht <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Isabella Peters" itemprop="url" href="/author/Isabella%20Peters"><span itemprop="name">I. Peters</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Wolfgang G. Stock" itemprop="url" href="/author/Wolfgang%20G.%20Stock"><span itemprop="name">W. Stock</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>Information -- Wissenschaft und Praxis</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">59 </span></span>(<span itemprop="issueNumber">2</span>):
<span itemprop="pagination">77--90</span></em> </span>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Tue Nov 23 17:13:54 CET 2010Information -- Wissenschaft und Praxis277--90{Folksonomies in Wissensrepr{\"a}sentation und Information Retrieval}59 2008folksonomy information ir retrieval wissensrepräsentation übersicht Folksonomies in Wissensrepr{\"a}sentation und Information Retrieval. Die popul{\"a}ren Web 2.0-Dienste werden von Prosumern -- Produzenten und gleichsam Konsumenten -- nicht nur dazu genutzt, Inhalte zu produzieren, sondern auch, um sie inhaltlich zu erschlie{\ss}en. Folksonomies erlauben es dem Nutzer, Dokumente mit eigenen Schlagworten, sog. Tags, zu beschreiben, ohne dabei auf gewisse Regeln oder Vorgaben achten zu m{\"u}ssen. Neben einigen Vorteilen zeigen Folksonomies aber auch zahlreiche Schw{\"a}chen (u. a. einen Mangel an Pr{\"a}zision). Um diesen Nachteilen gr{\"o}{\ss}tenteils entgegenzuwirken, schlagen wir eine Interpretation der Tags als nat{\"u}rlichsprachige W{\"o}rter vor. Dadurch ist es uns m{\"o}glich, Methoden des Natural Language Processing (NLP) auf die Tags anzuwenden und so linguistische Probleme der Tags zu beseitigen. Dar{\"u}ber hinaus diskutieren wir Ans{\"a}tze und weitere Vorschl{\"a}ge (Tagverteilungen, Kollaboration und akteurspezifische Aspekte) hinsichtlich eines Relevance Rankings von getaggten Dokumenten. Neben Vorschl{\"a}gen auf {\"a}hnliche Dokumente ({\glqq}more like this!{\grqq}) erlauben Folksonomies auch Hinweise auf verwandte Nutzer und damit auf Communities ({\glqq}more like me!{\grqq}). Folksonomies in Knowledge Representation and Information Retrieval In Web 2.0 services {\grqq}prosumers” -- producers and consumers -- collaborate not only for the purpose of creating content, but to index these pieces of information as well. Folksonomies permit actors to describe documents with subject headings, {\grqq}tags{\grqq}, without regarding any rules. Apart from a lot of benefits folksonomies have many shortcomings (e.g., lack of precision). In order to solve some of the problems we propose interpreting tags as natural language terms. Accordingly, we can introduce methods of NLP to solve the tags’ linguistic problems. Additionally, we present criteria for tagged documents to create a ranking by relevance (tag distribution, collaboration and actor-based aspects). Besides recommending similar documents ({\glqq}more like this!{\grqq}) folksonomies can be used for the recommendation of similar users and communities ({\glqq}more like me!{\grqq}).