Sat, 26 Jul 2008 08:02:14 BST CiteULike: ssn's library [466 articles] http://www.citeulike.org/user/ssn CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/ssn/article/2985647 <i>(2008), pp. 305-312.</i> Application of kalman filters to identify unexpected change in blogs Paul Joshua Johnston Unmil Karadkar Richard Furuta Frank Shipman doi:10.1145/1378889.1378941 (2008), pp. 305-312. 2008-07-10T17:10:02-00:00 2008 305 312 ACM blogspace dynamic temporal http://www.citeulike.org/user/ssn/article/2985645 <i>(2008), pp. 285-294.</i> Identification of time-varying objects on the web Satoshi Oyama Kenichi Shirasuna Katsumi Tanaka doi:10.1145/1378889.1378939 (2008), pp. 285-294. 2008-07-10T17:08:31-00:00 2008 285 294 ACM dynamic temporal webir http://www.citeulike.org/user/ssn/article/2985642 <i>(2008), pp. 5-14.</i> What can history tell us?: towards different models of interaction with document histories Adam Jatowt Yukiko Kawai Hiroaki Ohshima Katsumi Tanaka doi:10.1145/1379092.1379098 (2008), pp. 5-14. 2008-07-10T17:07:01-00:00 2008 5 14 ACM archives temporal webir http://www.citeulike.org/user/ssn/article/2910003 <i>(2007)</i> TREC 2007 Blog Track Experiments at Kobe University Kazuhiro Seki Yoshihiro Kino Shohei Sato Kuniaki Uehara (2007) 2008-06-20T09:56:31-00:00 2007 blogspace trec http://www.citeulike.org/user/ssn/article/2908071 <i>(2007)</i> Language Modeling Approaches to Blog Post and Feed Finding Breyten Ernsting Wouter Weerkamp Maarten de Rijke (2007) 2008-06-19T16:35:22-00:00 2007 blogspace related trec http://www.citeulike.org/user/ssn/article/2908039 <i>(2007)</i> Overview of the TREC-2007 Blog Track Craig Macdonald Iadh Ounis Ian Soboroff (2007) 2008-06-19T16:22:31-00:00 2007 blogspace trec http://www.citeulike.org/user/ssn/article/2882502 <i>(2007)</i> On Estimating The Geographic Distribution Of Social Media Matthew Hurst Matthew Siegler Natalie Glance (2007) 2008-06-11T10:39:40-00:00 2007 blogspace data-extraction geo http://www.citeulike.org/user/ssn/article/2880367 <i>(2007)</i> Overview of the TREC-2007 Blog Track Craig Macdonald Iadh Ounis Ian Soboroff (2007) 2008-06-10T17:21:19-00:00 2007 blogspace trec http://www.citeulike.org/user/ssn/article/2864426 <i>(2007)</i> Retrieval and Feedback Models for Blog Distillation J Elsas J Arguello J Callan J Carbonell (2007) 2008-06-05T11:27:14-00:00 2007 blogspace distillation trec webir http://www.citeulike.org/user/ssn/article/2863813 <i>(2008)</i> On the TREC Blog Track Iadh Ounis Craig Macdonald Ian Soboroff (2008) 2008-06-05T08:54:31-00:00 2008 AAAI Press blogspace trec http://www.citeulike.org/user/ssn/article/2795677 <i>(2008), pp. 1155-1156.</i> Histrace: building a search engine of historical events Lian'en Huang Jonathan Zhu Xiaoming Li doi:10.1145/1367497.1367703 (2008), pp. 1155-1156. 2008-05-13T17:35:19-00:00 2008 1155 1156 ACM archives history prototype search webir http://www.citeulike.org/user/ssn/article/2795508 <i>(2008), pp. 1149-1150.</i> Microscale evolution of web pages Carrie Grimes doi:10.1145/1367497.1367700 (2008), pp. 1149-1150. 2008-05-13T15:47:03-00:00 2008 1149 1150 ACM crawling dynamics evolution web http://www.citeulike.org/user/ssn/article/2795190 <i>(2008), pp. 1131-1132.</i> Temporal views over rdf data Geetha Manjunath R Badrinath Craig Sayers Venugopal doi:10.1145/1367497.1367691 (2008), pp. 1131-1132. 2008-05-13T14:40:36-00:00 2008 1131 1132 ACM rdf semantic-web temporal http://www.citeulike.org/user/ssn/article/2794306 <i>(2008), pp. 1221-1222.</i> Visualizing historical content of web pages Adam Jatowt Yukiko Kawai Katsumi Tanaka doi:10.1145/1367497.1367736 (2008), pp. 1221-1222. 2008-05-13T10:12:27-00:00 2008 1221 1222 ACM history related temporal visualization webir http://www.citeulike.org/user/ssn/article/1610154 <i>(2006)</i> Beautiful Evidence Edward Tufte (2006) 2007-08-31T03:25:05-00:00 2006 Graphics Press infoviz sparklines http://www.citeulike.org/user/ssn/article/2686454 <i>(2008), pp. 453-456.</i> Crowdsourcing user studies with Mechanical Turk Aniket Kittur Ed Chi Bongwon Suh doi:10.1145/1357054.1357127 (2008), pp. 453-456. 2008-04-18T05:31:13-00:00 2008 453 456 ACM crowdsourcing evaluation hci mechturk user-study http://www.citeulike.org/user/ssn/article/2733029 <i>(2008), pp. 1037-1040.</i> Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard Bongwon Suh Ed Chi Aniket Kittur Bryan Pendleton doi:10.1145/1357054.1357214 (2008), pp. 1037-1040. 2008-04-29T09:12:17-00:00 2008 1037 1040 ACM related visualization wikipedia http://www.citeulike.org/user/ssn/article/2682223 <i>(April 2008)</i> Monitoring the evolution of interests in the blogosphere Iraklis Varlamis Vasilis Vassalos Antonis Palaios (April 2008) 2008-04-17T14:41:51-00:00 2008 IEEE blogspace dynamics evolution mieic news http://www.citeulike.org/user/ssn/article/2602637 <i>Advances in Information Retrieval (2008), pp. 580-584.</i><br /><br />While trying to understand and characterize users’ behavior online, the temporal dimension has received little attention by the research community. This exploratory study uses two collections of web search queries to investigate the use of temporal information needs. Using state-of-the-art information extraction techniques we identify temporal expressions in these queries. We find that temporal expressions are rarely used (1.5% of queries) and, when used, they are related to current and past events. Also, there are specific topics where the use of temporal expressions is more visible. Use of Temporal Expressions in Web Search Sérgio Nunes Cristina Ribeiro Gabriel David doi:10.1007/978-3-540-78646-7_59 Advances in Information Retrieval (2008), pp. 580-584. 2008-03-27T16:23:08-00:00 2008 Advances in Information Retrieval 580 584 Springer Berlin / Heidelberg log-analysis me query temporal webir http://www.citeulike.org/user/ssn/article/2587416 <i>IEEE Transactions on Visualization and Computer Graphics, Vol. 8, No. 1. (January 2002), pp. 9-20.</i> ThemeRiver: Visualizing Thematic Changes in Large Document Collections Susan Havre Elizabeth Hetzler Paul Whitney Lucy Nowell IEEE Transactions on Visualization and Computer Graphics, Vol. 8, No. 1. (January 2002), pp. 9-20. 2008-03-25T18:43:28-00:00 2002 IEEE Transactions on Visualization and Computer Graphics 1077-2626 8 1 9 20 IEEE Educational Activities Department infoviz news temporal visualization http://www.citeulike.org/user/ssn/article/1477913 <i>Computers & Graphics, Vol. 31, No. 3. (June 2007), pp. 401-409.</i><br /><br />The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand. In this article, we develop and discuss a systematic view on the diversity of methods for visualizing time-oriented data. With the proposed categorization we try to untangle the visualization of time-oriented data, which is such an important concern in Visual Analytics. The categorization is not only helpful for users, but also for researchers to identify future tasks in Visual Analytics. Visualizing time-oriented data--A systematic view Wolfgang Aigner Silvia Miksch Wolfgang Muller Heidrun Schumann Christian Tominski doi:10.1016/j.cag.2007.01.030 Computers & Graphics, Vol. 31, No. 3. (June 2007), pp. 401-409. 2007-07-24T21:25:18-00:00 2007 Computers & Graphics 31 3 401 409 infoviz survey temporal visualization http://www.citeulike.org/user/ssn/article/2580227 <i>(2007), pp. 56-65.</i> Why we twitter: understanding microblogging usage and communities Akshay Java Xiaodan Song Tim Finin Belle Tseng doi:10.1145/1348549.1348556 (2007), pp. 56-65. 2008-03-24T10:26:49-00:00 2007 56 65 ACM blogspace characterization web http://www.citeulike.org/user/ssn/article/2052948 <i>Advances in Intelligent Web Mastering (2007), pp. 118-123.</i><br /><br />The use of online collaboration environments has become exceptionally widespread over the past decade. One of the most popular styles of collaboration are the “wiki” web sites. They have attracted attention because of their policy of letting anyone become an editor. This paper presents the technique for the analysis and visualization of Wikipedia - the largest wiki in existence. Specifically, it concentrates on some activity patterns of its contributors. First, a new visualization and analysis tool named JWikiVis is presented. Second, with the use of this software, some interesting user behaviors are described. Finally, text classification algorithms are applied in order to determine some patterns observed in individual wiki pages as well as in the entire service. The Analysis and Visualization of Entries in Wiki Services Jakub Gawryjo\lek Piotr Gawrysiak doi:10.1007/978-3-540-72575-6_19 Advances in Intelligent Web Mastering (2007), pp. 118-123. 2007-12-03T22:30:50-00:00 2007 Advances in Intelligent Web Mastering 118 123 Springer Berlin / Heidelberg visualization wikipedia http://www.citeulike.org/user/ssn/article/2365727 <i>(May 2004)</i> BlogPulse: Automated Trend Discovery for Weblogs Natalie Glance Matthew Hurst Takashi Tomokiyo (May 2004) 2008-02-12T12:13:03-00:00 2004 ACM blogspace tdt trends http://www.citeulike.org/user/ssn/article/2558090 <i>(2002), pp. 73-82.</i> Topic Extraction from News Archive Using TF*PDF Algorithm Khoo Bun Mitsuru Ishizuka (2002), pp. 73-82. 2008-03-19T11:07:30-00:00 2002 73 82 IEEE Computer Society clustering news tdt topic-distillation trends http://www.citeulike.org/user/ssn/article/2550682 <i>(2007), pp. 9-15.</i> Exploiting time-varying relationships in statistical relational models Umang Sharan Jennifer Neville doi:10.1145/1348549.1348551 (2007), pp. 9-15. 2008-03-18T11:52:04-00:00 2007 9 15 ACM classification data-mining machine-learning related temporal http://www.citeulike.org/user/ssn/article/2524600 <i>interactions, Vol. 15, No. 2. (2008), pp. 22-27.</i> TIMELINES - Themes in the early history of HCI - some unanswered questions Ronald Baecker doi:10.1145/1340961.1340968 interactions, Vol. 15, No. 2. (2008), pp. 22-27. 2008-03-13T09:29:25-00:00 2008 interactions 1072-5520 15 2 22 27 ACM hci research soa survey http://www.citeulike.org/user/ssn/article/2521217 <i>Journal of the American Society for Information Science and Technology, Vol. 9999, No. 9999. (2008), NA.</i><br /><br />Many automatic text summarization models have been developed in the last decades. Related research in information science has shown that human abstractors extract sentences for summaries based on the hierarchical structure of documents; however, the existing automatic summarization models do not take into account the human abstractor's behavior of sentence extraction and only consider the document as a sequence of sentences during the process of extraction of sentences as a summary. In general, a document exhibits a well-defined hierarchical structure that can be described as fractals - mathematical objects with a high degree of redundancy. In this article, we introduce the fractal summarization model based on the fractal theory. The important information is captured from the source document by exploring the hierarchical structure and salient features of the document. A condensed version of the document that is informatively close to the source document is produced iteratively using the contractive transformation in the fractal theory. The fractal summarization model is the first attempt to apply fractal theory to document summarization. It significantly improves the divergence of information coverage of summary and the precision of summary. User evaluations have been conducted. Results have indicated that fractal summarization is promising and outperforms current summarization techniques that do not consider the hierarchical structure of documents. Hierarchical summarization of large documents Christopher Yang Fu Wang doi:10.1002/asi.20781 Journal of the American Society for Information Science and Technology, Vol. 9999, No. 9999. (2008), NA. 2008-03-12T15:07:17-00:00 2008 Journal of the American Society for Information Science and Technology 9999 9999 NA information-retrieval nlp summarization http://www.citeulike.org/user/ssn/article/2431935 <i>(2008), pp. 171-182.</i> On ranking controversies in wikipedia: models and evaluation Ba-Quy Vuong Ee-Peng Lim Aixin Sun Minh-Tam Le Hady Lauw doi:10.1145/1341531.1341556 (2008), pp. 171-182. 2008-02-27T00:36:09-00:00 2008 171 182 ACM webir wikipedia http://www.citeulike.org/user/ssn/article/2408048 <i>(2-4 June 2004), pp. 1-8.</i> Looking for a Few Good Metrics: ROUGE and its Evaluation Chin-Yew Lin (2-4 June 2004), pp. 1-8. 2008-02-21T15:55:08-00:00 2004 1 8 evaluation summarization http://www.citeulike.org/user/ssn/article/1086240 <i>(2007), pp. 42-51.</i> From social bookmarking to social summarization: an experiment in community-based summary generation Oisin Boydell Barry Smyth doi:10.1145/1216295.1216311 (2007), pp. 42-51. 2007-02-03T17:44:48-00:00 2007 42 51 ACM Press social-network summarization http://www.citeulike.org/user/ssn/article/964346 <i>(2003)</i><br /><br />Using an open-source, Java toolkit of name-matching methods, we experimentally compare string distance metrics on the task of matching entity names. We investigate a number of different metrics proposed by different communities, including edit-distance metrics, fast heuristic string comparators , token-based distance metrics, and hybrid methods. Overall, the best-performing method is a hybrid scheme combining a TFIDF weighting scheme, which is widely used in information retrieval, with ... A Comparison of String Distance Metrics for Name-Matching Tasks William Cohen Pradeep Ravikumar Stephen Fienberg (2003) 2006-11-28T00:06:50-00:00 2003 American Association for Artificial Intelligence algorithms information-retrieval technique http://www.citeulike.org/user/ssn/article/2394624 <i>Journal of Informetrics, Vol. 2, No. 1. (January 2008), pp. 1-52.</i><br /><br />This paper reviews developments in informetrics between 2000 and 2006. At the beginning of the 21st century we witness considerable growth in webometrics, mapping and visualization and open access. A new topic is comparison between citation databases, as a result of the introduction of two new citation databases Scopus and Google Scholar. There is renewed interest in indicators as a result of the introduction of the h-index. Traditional topics like citation analysis and informetric theory also continue to develop. The impact factor debate, especially outside the informetric literature continues to thrive. Ranked lists (of journal, highly cited papers or of educational institutions) are of great public interest. Informetrics at the beginning of the 21st century--A review Judit Bar-Ilan doi:10.1016/j.joi.2007.11.001 Journal of Informetrics, Vol. 2, No. 1. (January 2008), pp. 1-52. 2008-02-18T14:41:13-00:00 2008 Journal of Informetrics 2 1 1 52 bibliometrics survey http://www.citeulike.org/user/ssn/article/2386909 <i>(2004)</i><br /><br />We have found a method to automatically extract the meaning of words and phrases from the world-wide-web using Google page counts. The approach is novel in its unrestricted problem domain, simplicity of implementation, and manifestly ontological underpinnings. The world-wide-web is the largest database on earth, and the latent semantic context information entered by millions of independent users averages out to provide automatic meaning of useful quality. We demonstrate positive... Automatic Meaning Discovery Using Google Rudi Cilibrasi Paul Vitanyi (2004) 2008-02-15T17:23:13-00:00 2004 google technique http://www.citeulike.org/user/ssn/article/1844090 <i>(2006), pp. 366-369.</i> Detection of Bloggers' Interests: Using Textual, Temporal, and Interactive Features Chun-Yuan Teng Hsin-Hsi Chen doi:10.1109/WI.2006.59 (2006), pp. 366-369. 2007-10-31T00:49:22-00:00 2006 366 369 IEEE Computer Society blogspace data-mining temporal weblogs http://www.citeulike.org/user/ssn/article/2386633 <i>Commun. ACM, Vol. 51, No. 2. (February 2008), pp. 49-52.</i> Are people biased in their use of search engines? Mark Keane Maeve O'Brien Barry Smyth doi:http://doi.acm.org/10.1145/1314215.1314224 Commun. ACM, Vol. 51, No. 2. (February 2008), pp. 49-52. 2008-02-15T15:31:47-00:00 2008 Commun. ACM 0001-0782 51 2 49 52 ACM evaluation search user-study webir http://www.citeulike.org/user/ssn/article/2384787 <i>(1997), pp. 265-276.</i><br /><br />Finding the right information on the World Wide Web is becoming a fundamental problem, since the amount of global information that the WWW contains is growing at an incredible rate. In this paper, we present a novel method for extracting from a Web object its "hyper" informative content, in contrast with current search engines, which only deal with the "textual" informative content. This method is not only valuable per se, but it is shown to be able to considerably increase the precision of current search engines, Moreover, it integrates smoothly with existing search engine technology since it can be implemented on top of every search engine, acting as a post-processor, thus automatically transforming a search engine into its corresponding "hyper" version. We also show how, interestingly, the hyper information can be usefully employed to face the search engine persuasion problem. The Quest for Correct Information on the Web: Hyper Search Engines Massimo Marchiori (1997), pp. 265-276. 2008-02-15T11:30:50-00:00 1997 265 276 link-analysis related seminal webir http://www.citeulike.org/user/ssn/article/2301676 <i>(26-28 March 2007)</i> Event Detection and Visualization for Social Text Streams Qiankun Zhao Prasenjit Mitra (26-28 March 2007) 2008-01-29T10:54:23-00:00 2007 social-network tdt temporal visualization weblogs http://www.citeulike.org/user/ssn/article/2297430 <i>(2007), pp. 177-183.</i> Fact Discovery in Wikipedia Sisay Adafre Valentin Jijkoun Maarten de Rijke (2007), pp. 177-183. 2008-01-28T12:24:10-00:00 2007 177 183 nlp qa wikipedia http://www.citeulike.org/user/ssn/article/2280822 <i>Innovations in Applied Artificial Intelligence (2004), pp. 653-662.</i><br /><br />World Wide Web is not only enormous but also dynamic information space. Every day large quantity of new information is published on web pages. Many times people want to know what are the major changes in their area of interest over a given time period. This paper addresses the problem of summarizing changes in web collections devoted to a common topic. We have created a system called ChangeSummarizer, which periodically monitors a web collection in search for new changes and generates their summary. Since many web pages can be quite static over long time or just unrelated to the query we employ the method to evaluate, which pages are dynamic and which provide valuable content. Basing on this evaluation ChangeSummarizer creates web page ranking list and updates it regularly in order to improve subsequent summaries. Additionally, the system searches for new, valuable web pages, which can be included into the collection to enhance its quality. Change Summarization in Web Collections Adam Jatowt Khoo Bun Mitsuru Ishizuka Innovations in Applied Artificial Intelligence (2004), pp. 653-662. 2008-01-23T14:47:33-00:00 2004 Innovations in Applied Artificial Intelligence 653 662 Springer Berlin / Heidelberg related summarization temporal web http://www.citeulike.org/user/ssn/article/2280809 <i>(2004), pp. 245-254.</i> Summarization of dynamic content in web collections Adam Jatowt Mitsuru Ishizuka (2004), pp. 245-254. 2008-01-23T14:41:04-00:00 2004 245 254 Springer-Verlag New York, Inc. related summarization temporal web http://www.citeulike.org/user/ssn/article/2077146 <i>New Review in Hypermedia and Multimedia, Vol. 13, No. 1. (January 2007), pp. 77-86.</i> Towards mining past content of Web pages Adam Jatowt Katsumi Tanaka doi:10.1080/13614560701478897 New Review in Hypermedia and Multimedia, Vol. 13, No. 1. (January 2007), pp. 77-86. 2007-12-08T10:41:21-00:00 2007 New Review in Hypermedia and Multimedia 1361-4568 13 1 77 86 Taylor and Francis Ltd data-mining ranking related summarization temporal webir http://www.citeulike.org/user/ssn/article/2269876 <i>(2004), pp. 491-501.</i> Information diffusion through blogspace Daniel Gruhl R Guha David Liben-Nowell Andrew Tomkins doi:10.1145/988672.988739 (2004), pp. 491-501. 2008-01-21T19:50:52-00:00 2004 491 501 ACM blogspace graph-theory influence marketing tdt http://www.citeulike.org/user/ssn/article/2269014 <i>(22-26 May 2006)</i> Modeling the Spread of Influence on the Blogoshere Akshay Java Pranam Kolari Tim Finin Tim Oates (22-26 May 2006) 2008-01-21T15:21:05-00:00 2006 blogspace influence marketing weblogs http://www.citeulike.org/user/ssn/article/2250279 <i>(2006), pp. 228-237.</i> The dynamics of viral marketing Jure Leskovec Lada Adamic Bernardo Huberman doi:10.1145/1134707.1134732 (2006), pp. 228-237. 2008-01-18T09:27:40-00:00 2006 228 237 ACM blogspace dynamics graph-theory marketing social-analysis http://www.citeulike.org/user/ssn/article/2244426 <i>Inf. Syst., Vol. 31, No. 2. (April 2006), pp. 134-147.</i> Granularity reduction in temporal document databases Kjetil Nørväg doi:10.1016/j.is.2004.10.002 Inf. Syst., Vol. 31, No. 2. (April 2006), pp. 134-147. 2008-01-17T11:13:40-00:00 2006 Inf. Syst. 0306-4379 31 2 134 147 Elsevier Science Ltd. databases temporal http://www.citeulike.org/user/ssn/article/2238926 <i>(2007), pp. 567-574.</i> How well does result relevance predict session satisfaction? Scott Huffman Michael Hochster doi:10.1145/1277741.1277839 (2007), pp. 567-574. 2008-01-16T12:16:53-00:00 2007 567 574 ACM 2read evaluation webir http://www.citeulike.org/user/ssn/article/2211067 <i>(2007), pp. 797-798.</i> Improving weak ad-hoc queries using wikipedia asexternal corpus Yinghao Li Wing Kei Fu (2007), pp. 797-798. 2008-01-09T14:11:21-00:00 2007 797 798 ACM poster query wikipedia http://www.citeulike.org/user/ssn/article/2210706 <i>ACM SIGIR Forum, Vol. 41, No. 2. (December 2007), pp. 112-120.</i> Query Log Analysis: Social and Technological Challenges Craig Murray Jaime Teevan ACM SIGIR Forum, Vol. 41, No. 2. (December 2007), pp. 112-120. 2008-01-09T11:48:46-00:00 2007 ACM SIGIR Forum 41 2 112 120 ACM Press log-analysis query report webir workshop http://www.citeulike.org/user/ssn/article/2191950 <i>ACM SIGIR Forum, Vol. 41, No. 2. (2007), pp. 25-34.</i> Meeting of the MINDS: An Information Retrieval Research Agenda Jamie Callan James Allan Charles Clarke Susan Dumais David Evans Mark Sanderson Chengxiang Zhai ACM SIGIR Forum, Vol. 41, No. 2. (2007), pp. 25-34. 2008-01-03T18:20:36-00:00 2007 ACM SIGIR Forum 41 2 25 34 future information-retrieval research