@book{doerfel2013informationelle, author = {Doerfel, Stephan and Hotho, Andreas and Kartal-Aydemir, Aliye and Roßnagel, Alexander and Stumme, Gerd}, interhash = {f72d297ba42797ca66baba052c846b7a}, intrahash = {2bb934c0ff3652843fd0aff97d8d7324}, isbn = {9783642380556 3642380557}, publisher = {Vieweg + Teubner Verlag}, refid = {857973438}, title = {Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme}, url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9783642380556}, year = 2013 } @inproceedings{mitzlaff2011semantics, address = {Bamberg, Germany}, author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, interhash = {73088600a500f7d06768615d6e1c2b3d}, intrahash = {820ffb2166b330bf60bb30b16e426553}, publisher = {University of Bamberg}, title = {{On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)}}, year = 2011 } @inproceedings{jaschke2013attribute, abstract = {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.}, author = {Jäschke, Robert and Rudolph, Sebastian}, booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis}, editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard}, interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4}, intrahash = {45e900e280661d775d8da949baee3747}, month = may, organization = {Technische Universität Dresden}, pages = {19--34}, title = {Attribute Exploration on the Web}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133}, urn = {urn:nbn:de:bsz:14-qucosa-113133}, year = 2013 } @article{mitzlaff2013userrelatedness, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, interhash = {40aa075d925f2e6e009986fd9e60b11b}, intrahash = {424d0f2d4a5c9a0eb68cbf2fc5b0010a}, journal = {CoRR/abs}, title = {{User-Relatedness and Community Structure in Social Interaction Networks}}, volume = {1309.3888}, year = 2013 } @proceedings{conf/recsys/2013rsweb, booktitle = {RSWeb@RecSys}, editor = {Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Freyne, Jill and Hotho, Andreas and Anand, Sarabjot Singh and Guy, Ido}, ee = {http://ceur-ws.org/Vol-1066}, interhash = {31e724c09d1f4a4bbf013ecb8e1f6685}, intrahash = {aca768068f09003e97b51d48ec092ddc}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013.}, url = {http://ceur-ws.org/Vol-1066}, volume = 1066, year = 2013 } @article{noKey, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung. }, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {312a16fb92f6f1bc176ef917018d350c}, issn = {0170-6012}, journal = {Informatik-Spektrum}, language = {German}, number = 1, pages = {12-23}, publisher = {Springer-Verlag}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, volume = 35, year = 2012 } @book{andrew2006anspruchsvolle, address = {Heidelberg}, author = {Andrew, Rachel and Shafer, Dan}, edition = {2., überarb. und aktualisierte Aufl.}, format = {book}, interhash = {a50f81b54d42ae13da2a17a7a4c1d3e2}, intrahash = {d9e90f5bc61816e3436d5d29f0f3bea7}, isbn = {3898644235}, primaryauthor = {Andrew, Rachel}, publisher = {dpunkt-Verl.}, shortsubtitle = {: anspruchsvolle Websites mit cascading stylesheets ; Grundlagen, Designtechniken und Referenz}, shorttitle = {CSS : anspruchsvolle Websites mit cascading stylesheets ; Grundlagen, Designtechniken und Referenz}, subtitle = {anspruchsvolle Websites mit cascading stylesheets ; Grundlagen, Designtechniken und Referenz / Rachel Andrew ; Dan Shafer}, title = {CSS : anspruchsvolle Websites mit cascading stylesheets}, titlestatement = {Rachel Andrew ; Dan Shafer}, uniqueid = {HEB182255085}, url = {http://deposit.d-nb.de/cgi-bin/dokserv?id=2834187&prov=M&dok_var=1&dok_ext=htm}, year = 2006 } @book{schmitt2008kochbuch, address = {Beijing [u.a.]}, author = {Schmitt, Christopher}, edition = {2. Aufl., dt. Ausg. der 2. Aufl., 1., korr. Nachdr.}, format = {book}, interhash = {50f912da2c9787c39e0046a3c8313ee2}, intrahash = {417613303e3adaf98972c1f8593e7653}, isbn = {389721492X}, partauthors = {
Lang, Jørgen W.
Lang, Jørgen W. (Übes.)}, primaryauthor = {Schmitt, Christopher}, publisher = {O'Reilly}, shortsubtitle = {: [schnelle Lösungen für typische CSS-Probleme]}, shorttitle = {CSS Kochbuch : [schnelle Lösungen für typische CSS-Probleme]}, subtitle = {[schnelle Lösungen für typische CSS-Probleme] / Christopher Schmitt. Dt. Übers. von Jørgen W. Lang}, title = {CSS Kochbuch : [schnelle Lösungen für typische CSS-Probleme]}, titlestatement = {Christopher Schmitt. Dt. Übers. von Jørgen W. Lang}, uniqueid = {HEB202926532}, year = 2008 } @book{koch2009browser, address = {[Unterhaching]}, author = {Koch, Daniel}, format = {book}, interhash = {b17353457d325d00147c97be685df333}, intrahash = {0cac778810b4331e0a06b75323295acf}, isbn = {9783868020342}, primaryauthor = {Koch, Daniel}, publisher = {entwickler.press}, series = {Schnell + kompakt}, shortsubtitle = {: was die Browser wirklich können ; schnell + kompakt ; [die Kompakt-Referenz]}, shorttitle = {CSS : was die Browser wirklich können ; schnell + kompakt ; [die Kompakt-Referenz]}, subtitle = {was die Browser wirklich können ; schnell + kompakt ; [die Kompakt-Referenz] / Daniel Koch}, title = {CSS : was die Browser wirklich können}, titlestatement = {Daniel Koch}, uniqueid = {HEB212736213}, url = {http://deposit.d-nb.de/cgi-bin/dokserv?id=3304615&prov=M&dok_var=1&dok_ext=htm}, volume = 34, year = 2009 } @book{kobert2012einsteigerseminar, address = {Heidelberg [u.a.]}, author = {Kobert, Thomas}, format = {book}, interhash = {294cae84ae11a1622e62f7baebcec6a2}, intrahash = {c600fd0d6adbd4683f7fb99639d3ff14}, isbn = {9783826675324}, primaryauthor = {Kobert, Thomas}, publisher = {bhv}, series = {Das Einsteigerseminar}, shorttitle = {Das Einsteigerseminar HTML}, subtitle = {Thomas Kobert}, title = {Das Einsteigerseminar HTML}, titlestatement = {Thomas Kobert}, uniqueid = {HEB309010152}, url = {http://deposit.d-nb.de/cgi-bin/dokserv?id=3528771&prov=M&dok_var=1&dok_ext=htm}, volume = 7532, year = 2012 } @article{jiang2013understanding, abstract = {Popular online social networks (OSNs) like Facebook and Twitter are changing the way users communicate and interact with the Internet. A deep understanding of user interactions in OSNs can provide important insights into questions of human social behavior and into the design of social platforms and applications. However, recent studies have shown that a majority of user interactions on OSNs are latent interactions, that is, passive actions, such as profile browsing, that cannot be observed by traditional measurement techniques. In this article, we seek a deeper understanding of both active and latent user interactions in OSNs. For quantifiable data on latent user interactions, we perform a detailed measurement study on Renren, the largest OSN in China with more than 220 million users to date. All friendship links in Renren are public, allowing us to exhaustively crawl a connected graph component of 42 million users and 1.66 billion social links in 2009. Renren also keeps detailed, publicly viewable visitor logs for each user profile. We capture detailed histories of profile visits over a period of 90 days for users in the Peking University Renren network and use statistics of profile visits to study issues of user profile popularity, reciprocity of profile visits, and the impact of content updates on user popularity. We find that latent interactions are much more prevalent and frequent than active events, are nonreciprocal in nature, and that profile popularity is correlated with page views of content rather than with quantity of content updates. Finally, we construct latent interaction graphs as models of user browsing behavior and compare their structural properties, evolution, community structure, and mixing times against those of both active interaction graphs and social graphs.}, acmid = {2517040}, address = {New York, NY, USA}, articleno = {18}, author = {Jiang, Jing and Wilson, Christo and Wang, Xiao and Sha, Wenpeng and Huang, Peng and Dai, Yafei and Zhao, Ben Y.}, doi = {10.1145/2517040}, interhash = {af18171c38a0b07fce62fb3fac5c6322}, intrahash = {aa9695f56135fd58de32b5b4a4c73698}, issn = {1559-1131}, issue_date = {October 2013}, journal = {ACM Trans. Web}, month = nov, number = 4, numpages = {39}, pages = {18:1--18:39}, publisher = {ACM}, title = {Understanding Latent Interactions in Online Social Networks}, url = {http://doi.acm.org/10.1145/2517040}, volume = 7, year = 2013 } @article{lohrmarch112013computer, author = {Lohr, Steve}, editor = {Times, New York}, interhash = {3ab18521dd9e04d43a64c93174104b93}, intrahash = {8d09e20df09a7df761eb23ca223d3391}, title = {NELL Is a Computer That Reads the Web - With a Little Human Help}, year = {March 11, 2013} } @inproceedings{Carlson10, author = {Carlson, A. and Betteridge, J. and Kisiel, B. and Settles, B. and Jr., E.R. Hruschka and Mitchell, T.M.}, booktitle = {Proceedings of the Conference on Artificial Intelligence (AAAI)}, interhash = {5df31649862b1002848792cd495d46dc}, intrahash = {f0d94ab9d299609ee92f6ecf555266d4}, pages = {1306--1313}, publisher = {AAAI Press}, title = {Toward an Architecture for Never-Ending Language Learning}, year = 2010 } @article{khabsa2014number, abstract = {The number of scholarly documents available on the web is estimated using capture/recapture methods by studying the coverage of two major academic search engines: Google Scholar and Microsoft Academic Search. Our estimates show that at least 114 million English-language scholarly documents are accessible on the web, of which Google Scholar has nearly 100 million. Of these, we estimate that at least 27 million (24%) are freely available since they do not require a subscription or payment of any kind. In addition, at a finer scale, we also estimate the number of scholarly documents on the web for fifteen fields: Agricultural Science, Arts and Humanities, Biology, Chemistry, Computer Science, Economics and Business, Engineering, Environmental Sciences, Geosciences, Material Science, Mathematics, Medicine, Physics, Social Sciences, and Multidisciplinary, as defined by Microsoft Academic Search. In addition, we show that among these fields the percentage of documents defined as freely available varies significantly, i.e., from 12 to 50%.}, author = {Khabsa, Madian and Giles, C. Lee}, interhash = {61aed8da8eb53c7583d1f27e3cd8fa0c}, intrahash = {8fa9f00fb097a3fd6d0390152c848a37}, journal = {PLoS ONE}, month = may, number = 5, pages = {e93949}, title = {The number of scholarly documents on the public web}, url = {http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0093949}, volume = 9, year = 2014 } @inproceedings{barilan2012beyond, abstract = {Traditionally, scholarly impact and visibility have been measured by counting publications and citations in the scholarly literature. However, increasingly scholars are also visible on the Web, establishing presences in a growing variety of social ecosystems. But how wide and established is this presence, and how do measures of social Web impact relate to their more traditional counterparts? To answer this, we sampled 57 presenters from the 2010 Leiden STI Conference, gathering publication and citations counts as well as data from the presenters' Web "footprints." We found Web presence widespread and diverse: 84% of scholars had homepages, 70% were on LinkedIn, 23% had public Google Scholar profiles, and 16% were on Twitter. For sampled scholars' publications, social reference manager bookmarks were compared to Scopus and Web of Science citations; we found that Mendeley covers more than 80% of sampled articles, and that Mendeley bookmarks are significantly correlated (r=.45) to Scopus citation counts.}, author = {Bar-Ilan, Judit and Haustein, Stefanie and Peters, Isabella and Priem, Jason and Shema, Hadas and Terliesner, Jens}, booktitle = {Proceedings of 17th International Conference on Science and Technology Indicators, Montréal: Science-Metrix and OST}, editor = {Archambault, Éric and Gingras, Yves and Larivière, Vincent}, interhash = {5c386f2bfcd8d2052d455c75efb1c727}, intrahash = {42585cbc0a99d9e137f2a3d6cb0239e5}, pages = {98-109}, title = {Beyond citations: Scholars' visibility on the social Web}, url = {http://2012.sticonference.org/Proceedings/vol1/Bar-Ilan_Beyond_98.pdf}, volume = 1, year = 2012 } @article{masbleda2014highly, abstract = {Academics can now use the web and the social websites to disseminate scholarly information in a variety of different ways. Although some scholars have taken advantage of these new online opportunities, it is not clear how widespread their uptake is or how much impact they can have. This study assesses the extent to which successful scientists have social web presences, focusing on one influential group: highly cited researchers working at European institutions. It also assesses the impact of these presences. We manually and systematically identified if the European highly cited researchers had profiles in Google Scholar, Microsoft Academic Search, Mendeley, Academia and LinkedIn or any content in SlideShare. We then used URL mentions and altmetric indicators to assess the impact of the web presences found. Although most of the scientists had an institutional website of some kind, few had created a profile in any social website investigated, and LinkedIn—the only non-academic site in the list—was the most popular. Scientists having one kind of social web profile were more likely to have another in many cases, especially in the life sciences and engineering. In most cases it was possible to estimate the relative impact of the profiles using a readily available statistic and there were disciplinary differences in the impact of the different kinds of profiles. Most social web profiles had some evidence of uptake, if not impact; nevertheless, the value of the indicators used is unclear.}, author = {Mas-Bleda, Amalia and Thelwall, Mike and Kousha, Kayvan and Aguillo, IsidroF.}, doi = {10.1007/s11192-014-1345-0}, interhash = {5110401b47f90128cbe885cf441ab7fb}, intrahash = {9fa40f587b142513785037b67040abe4}, issn = {0138-9130}, journal = {Scientometrics}, language = {English}, number = 1, pages = {337-356}, publisher = {Springer Netherlands}, title = {Do highly cited researchers successfully use the social web?}, url = {http://dx.doi.org/10.1007/s11192-014-1345-0}, volume = 101, year = 2014 } @article{thomas2014using, abstract = {A user's behaviour when browsing a Web site contains clues to that user's experience. It is possible to record some of these behaviours automatically, and extract signals that indicate a user is having trouble finding information. This allows for Web site analytics based on user experiences, not just page impressions. A series of experiments identified user browsing behaviours—such as time taken and amount of scrolling up a page—which predict navigation difficulty and which can be recorded with minimal or no changes to existing sites or browsers. In turn, patterns of page views correlate with these signals and these patterns can help Web authors understand where and why their sites are hard to navigate. A new software tool, “LATTE,” automates this analysis and makes it available to Web authors in the context of the site itself.}, acmid = {2656343}, address = {New York, NY, USA}, articleno = {24}, author = {Thomas, Paul}, doi = {10.1145/2656343}, interhash = {b570b16074de8ee1b2db9fcf1061d16b}, intrahash = {06035bc4bd2c62d7dba957ad4410d7b3}, issn = {1559-1131}, issue_date = {October 2014}, journal = {ACM Transactions on the Web}, month = nov, number = 4, numpages = {41}, pages = {24:1--24:41}, publisher = {ACM}, title = {Using Interaction Data to Explain Difficulty Navigating Online}, url = {http://doi.acm.org/10.1145/2656343}, volume = 8, year = 2014 } @inproceedings{singer2015hyptrails, address = {Firenze, Italy}, author = {Singer, P. and Helic, D. and Hotho, A. and Strohmaier, M.}, booktitle = {24th International World Wide Web Conference (WWW2015)}, interhash = {d33e150aa37dcd618388960286f8a46a}, intrahash = {5d21e53dc91b35a4a6cb6b9ec858045d}, month = {May 18 - May 22}, organization = {ACM}, publisher = {ACM}, title = {Hyptrails: A bayesian approach for comparing hypotheses about human trails}, url = {http://www.www2015.it/documents/proceedings/proceedings/p1003.pdf}, year = 2015 } @inproceedings{tran2015semantic, abstract = {In this paper we study the problem of semantic annotation for a trending hashtag which is the crucial step towards analyzing user behavior in social media, yet has been largely unexplored. We tackle the problem via linking to entities from Wikipedia. We incorporate the social aspects of trending hashtags by identifying prominent entities for the annotation so as to maximize the information spreading in entity networks. We exploit temporal dynamics of entities in Wikipedia, namely Wikipedia edits and page views to improve the annotation quality. Our experiments show that we significantly outperform the established methods in tweet annotation.}, author = {Tran, Tuan and Tran, Nam-Khanh and Teka Hadgu, Asmelash and Jäschke, Robert}, booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)}, interhash = {4156275c801376fa64dfdb69a4ce60c4}, intrahash = {9d4cd9070922e1eb43bcab1da4a9d840}, month = sep, publisher = {Association for Computational Linguistics}, title = {Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information}, year = 2015 } @inproceedings{pereiranunes2012entities, abstract = {The richness of the (Semantic) Web lies in its ability to link related resources as well as data across the Web. However, while relations within particular datasets are often well defined, links between disparate datasets and corpora of Web resources are rare. The increasingly widespread use of cross-domain reference datasets, such as Freebase and DBpedia for annotating and enriching datasets as well as document corpora, opens up opportunities to exploit their inherent semantics to uncover semantic relationships between disparate resources. In this paper, we present an approach to uncover relationships between disparate entities by analyzing the graphs of used reference datasets. We adapt a relationship assessment methodology from social network theory to measure the connectivity between entities in reference datasets and exploit these measures to identify correlated Web resources. Finally, we present an evaluation of our approach using the publicly available datasets Bibsonomy and USAToday. }, author = {Pereira Nunes, Bernardo and Kawase, Ricardo and Dietze, Stefan and Taibi, Davide and Casanova, Marco Antonio and Nejdl, Wolfgang}, booktitle = {Proceedings of the Web of Linked Entities Workshop in conjuction with the 11th International Semantic Web Conference}, editor = {Rizzo, Giuseppe and Mendes, Pablo and Charton, Eric and Hellmann, Sebastian and Kalyanpur, Aditya}, institution = {Bernardo Pereira Nunes, Ricardo Kawase, Stefan Dietze, Davide Taibi, Marco Antonio Casanova, Wolfgang Nejdl}, interhash = {8f969b917268449792c130dcbab06e69}, intrahash = {f22943239296ada0dfa11c30c5b4904a}, issb = {1613-0073}, month = nov, pages = {45--57}, series = {CEUR-WS.org}, title = {Can Entities be Friends?}, url = {http://ceur-ws.org/Vol-906/paper6.pdf}, urn = {urn:nbn:de:0074-906-7}, volume = 906, year = 2012 }