@inproceedings{ames2007motivations, abstract = {Why do people tag? Users have mostly avoided annotating media such as photos -- both in desktop and mobile environments -- despite the many potential uses for annotations, including recall and retrieval. We investigate the incentives for annotation in Flickr, a popular web-based photo-sharing system, and ZoneTag, a cameraphone photo capture and annotation tool that uploads images to Flickr. In Flickr, annotation (as textual tags) serves both personal and social purposes, increasing incentives for tagging and resulting in a relatively high number of annotations. ZoneTag, in turn, makes it easier to tag cameraphone photos that are uploaded to Flickr by allowing annotation and suggesting relevant tags immediately after capture.

A qualitative study of ZoneTag/Flickr users exposed various tagging patterns and emerging motivations for photo annotation. We offer a taxonomy of motivations for annotation in this system along two dimensions (sociality and function), and explore the various factors that people consider when tagging their photos. Our findings suggest implications for the design of digital photo organization and sharing applications, as well as other applications that incorporate user-based annotation.}, acmid = {1240772}, address = {New York, NY, USA}, author = {Ames, Morgan and Naaman, Mor}, booktitle = {Proceedings of the SIGCHI conference on Human factors in computing systems}, doi = {10.1145/1240624.1240772}, interhash = {bd24c17d66d2b904b3fc9444c2b64b44}, intrahash = {bc08f76536610f3f376bece5f0b46ad5}, isbn = {978-1-59593-593-9}, location = {San Jose, California, USA}, numpages = {10}, pages = {971--980}, publisher = {ACM}, series = {CHI '07}, title = {Why we tag: motivations for annotation in mobile and online media}, url = {http://doi.acm.org/10.1145/1240624.1240772}, year = 2007 } @presentation{boettger2014puma, abstract = {PUMA ist ein Publikationsmanagement-System für die Verwaltung von Internetlesezeichen und zur gemeinsamen Nutzung von wissenschaftlichen Publikationen. Die Organisation geschieht dabei über Tags. PUMA ist so konzipiert, dass es als alleiniges Eingabeportal für bibliografische Metadaten dienen kann. So können Forscher PUMA nicht nur als Online-Literaturverwaltung nutzen, sondern auch eigene Publikationen auf dem Dokumentenserver ihrer Universitätsbibliothek veröffentlichen. Ein Modul, das für das Discovery System VuFind entwickelt wurde, schlägt Brücken zwischen den Funktionen der klassischen VuFind-Favoritenliste und Cloud-Funktionen von PUMA. Favorisierte Literaturrecherchen können in einer Merkliste gespeichert werden und stehen sofort in PUMA zur Verfügung. Dadurch lassen sich die Publikationen in eine Vielzahl von Formaten und Zitierstilen exportieren. Zudem müssen die Einträge nicht über verschiedene Merklisten gruppiert werden, sondern lassen sich durch die freie Vergabe von Tags deutlich differenzierter organisieren. Mit PUMA können die Nutzer ihre Daten leicht mit anderen teilen, was es auch für den Einsatz in der Lehre und für Forschergruppen interessant macht. Eine Erweiterung für die eLearning-Plattform Moodle erlaubt die Literaturverwaltung für Online-Kurse. Ähnliche Anwendungen für weitere Plattformen werden derzeit entwickelt. Plugins für Content-Management-Systeme ermöglichen Wissenschaftlern sowie Forscher- und Seminargruppen die Darstellung von in PUMA gepflegten Publikationen auf ihren Webseiten. Metadaten aus Publikationswebseiten vieler wissenschaftlicher Verlage lassen sich über Browser-Plugins in PUMA importieren und stehen zur Weiterverarbeitung in Literaturverwaltungen wie Citavi oder zum Zitieren in einer Textverarbeitung zur Verfügung. PUMA fügt sich mit diesen Schnittstellen in die bestehenden Anwendungen einer Hochschulbibliothek ein, ergänzt sie als Werkzeug zur Publikationsverwaltung und unterstützt seine Anwender in Forschung und Lehre.}, address = {Reutlingen}, author = {Böttger, Sebastian}, interhash = {fe8d3f1d9a0c7f0b0f4c4ae156a9b00d}, intrahash = {4c4916e0eab92e3e6465711a2f978885}, month = {07}, publisher = {Berufsverband Information Bibliothek}, title = {PUMA als Schnittstelle zwischen Discovery Service, Institutional Repository und eLearning}, url = {http://www.opus-bayern.de/bib-info/volltexte//2014/1674}, urn = {urn:nbn:de:0290-opus-16749}, year = 2014 } @inproceedings{schnorr1986optimal, acmid = {12156}, address = {New York, NY, USA}, author = {Schnorr, C P and Shamir, A}, booktitle = {Proceedings of the Eighteenth Annual ACM Symposium on Theory of Computing}, doi = {10.1145/12130.12156}, interhash = {50b5a965bcc95aba44ed55d908f7624a}, intrahash = {e645f73921b98b1c6b0e17fe617b74b2}, isbn = {0-89791-193-8}, location = {Berkeley, California, USA}, numpages = {9}, pages = {255--263}, publisher = {ACM}, series = {STOC '86}, title = {An Optimal Sorting Algorithm for Mesh Connected Computers}, url = {http://doi.acm.org/10.1145/12130.12156}, year = 1986 } @article{grimmer2013text, author = {Grimmer, Justin and Stewart, Brandon M}, interhash = {eb68e01ef4168a398d79f408042fe529}, intrahash = {76001ebc726700bef81886d2e285b7cf}, journal = {Political Analysis}, pages = {mps028}, publisher = {SPM-PMSAPSA}, title = {Text as data: The promise and pitfalls of automatic content analysis methods for political texts}, year = 2013 } @article{bottger2013vergleich, abstract = {Gegenstand dieser Arbeit ist der Vergleich der Sortierverfahren Radixsort, Mergesort und Quicksort. Alle drei Algorithmen werden zunächst ausführlich vorgestellt und ihre Funktionsweise erläutert. Dabei wird die Komplexität und das resultierende Laufzeitverhalten theoretisch betrachtet und die daraus entstehenden Vor- und Nachteile diskutiert. In einem Versuch werden zudem alle drei Algorithmen unter realen Bedingungen auf einem Computer getestet, um die theoretischen Betrachtungen zu untermauern.}, author = {Böttger, Sebastian}, interhash = {d4ac1b4f52d6f52958942c14957d6602}, intrahash = {c49c9ef4dc754980aa36760133790f69}, school = {University of Kassel}, title = {Vergleich von Sortierverfahren}, year = 2013 } @book{beazley2009python, address = {Upper Saddle River, NJ [u.a.]}, author = {Beazley, David M.}, edition = {4. ed.}, format = {book}, interhash = {120ef4354df79ef6ec9670e9fc333112}, intrahash = {e9519ecb0a06b88e4dfb34ed8f91cbc4}, isbn = {9780672329784}, primaryauthor = {Beazley, David M.}, publisher = {Addison-Wesley}, series = {Devoloper's library}, shortsubtitle = {: essential reference}, shorttitle = {Python : essential reference}, subtitle = {essential reference / David M. Beazley}, title = {Python : essential reference}, titlestatement = {David M. Beazley}, uniqueid = {HEB208355014}, url = {http://www.ulb.tu-darmstadt.de/tocs/208355014.pdf}, year = 2009 } @inproceedings{jaeschke2009testing, abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a �rst evaluation of two exemplarily deployed recommendation methods.}, address = {New York, NY, USA}, author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd}, booktitle = {RecSys '09: Proceedings of the 2009 ACM Conference on Recommender Systems}, interhash = {440fafda1eccf4036066f457eb6674a0}, intrahash = {1320904b208d53bd5d49e751cbfcc268}, location = {New York, NY, USA}, note = {(to appear)}, publisher = {ACM}, title = {Testing and Evaluating Tag Recommenders in a Live System}, year = 2009 } @phdthesis{jaschke2011formal, address = {Heidelberg}, author = {Jäschke, Robert}, interhash = {dcb2cd1cd72ae45d77c4d8755d199405}, intrahash = {bad02a0bbbf066907ecdee0ecaf9fb80}, isbn = {1-60750-707-2}, publisher = {Akad. Verl.-Ges. AKA}, series = {Dissertations in artificial intelligence}, title = {Formal concept analysis and tag recommendations in collaborative tagging systems}, url = {http://opac.bibliothek.uni-kassel.de/DB=1/PPN?PPN=231779038}, volume = 332, year = 2011 } @inproceedings{lipczak2010impact, abstract = {Collaborative tagging systems are popular tools for organization, sharing and retrieval of web resources. Their success is due to their freedom and simplicity of use. To post a resource, the user should only define a set of tags that would position the resource in the system's data structure -- folksonomy. This data structure can serve as a rich source of information about relations between tags and concepts they represent. To make use of information collaboratively added to folksonomies, we need to understand how users make tagging decisions. Three factors that are believed to influence user tagging decisions are: the tags used by other users, the organization of user's personal repository and the knowledge model shared between users. In our work we examine the role of another potential factor -- resource title. Despite all the advantages of tags, tagging is a tedious process. To minimize the effort, users are likely to tag with keywords that are easily available. We show that resource title, as a source of useful tags, is easy to access and comprehend. Given a choice of two tags with the same meaning, users are likely to be influenced by their presence in the title. However, a factor that seems to have stronger impact on users' tagging decisions is maintaining the consistency of the personal profile of tags. The results of our study reveal a new, less idealistic picture of collaborative tagging systems, in which the collaborative aspect seems to be less important than personal gains and convenience.}, acmid = {1810648}, address = {New York, NY, USA}, author = {Lipczak, Marek and Milios, Evangelos}, booktitle = {Proceedings of the 21st ACM Conference on Hypertext and Hypermedia}, doi = {10.1145/1810617.1810648}, interhash = {a999b5f2eace0cd75028e57261afe3d7}, intrahash = {71dd1a473eaf0af9840758653746c221}, isbn = {978-1-4503-0041-4}, location = {Toronto, Ontario, Canada}, numpages = {10}, pages = {179--188}, publisher = {ACM}, series = {HT '10}, title = {The Impact of Resource Title on Tags in Collaborative Tagging Systems}, url = {http://doi.acm.org/10.1145/1810617.1810648}, year = 2010 }