Proceedings of the nineteenth ACM conference on Hypertext and hypermedia最新文献

{"title":"Iclone: towards online social navigation","authors":"Athanassios Papagelis, M. Papagelis, C. Zaroliagis","doi":"10.1145/1379092.1379143","DOIUrl":"https://doi.org/10.1145/1379092.1379143","url":null,"abstract":"For a place that gathers millions of people the Web seems pretty lonely at times. This is mainly due to the current predominant browsing scenario; that of an individual participating in an autonomous surfing session. We believe that people should be seen as an integral part of the browsing and searching activity towards a concept known as social navigation. Based on this observation we present iClone (www.iclone.com), a social web browser that is able to raise awareness of other people surfing similar websites at the same time by utilizing temporal correlations of their web history logs and to facilitate online communication and collaboration.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133218175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Document similarity based on concept tree distance","authors":"Praveen Lakkaraju, Susan Gauch, M. Speretta","doi":"10.1145/1379092.1379118","DOIUrl":"https://doi.org/10.1145/1379092.1379118","url":null,"abstract":"The Web is quickly moving from the era of search engines to the era of discovery engines. Whereas search engines help you find information you are looking for, discovery engines help you find things that you never knew existed. A common discovery technique is to automatically identify and display objects similar to ones previously viewed by the user. Core to this approach is an accurate method to identify similar documents. In this paper, we present a new approach to identifying similar documents based on a conceptual tree-similarity measure. We represent each document as a concept tree using the concept associations obtained from a classifier. Then, we make employ a tree-similarity measure based on a tree edit distance to compute similarities between concept trees. Experiments on documents from the CiteSeer collection showed that our algorithm performed significantly better than document similarity based on the traditional vector space model.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121134157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","authors":"Peter Brusilovsky, H. Davis","doi":"10.1145/1379092","DOIUrl":"https://doi.org/10.1145/1379092","url":null,"abstract":"Welcome to the 19th ACM Conference on Hypertext and Hypermedia -- Hypertext 2008. One of the great joys of the Hypertext conference series has always been the diversity of the topics that the conference encompasses. Regular attendees have always known and valued this diversity, but the conference steering committee have been aware that it can be confusing to newcomers, and at times difficult for reviewers who have to decide whether a paper is 'in-scope' for the conference. This year we have refined the approach that we began last year, whereby we have had four separate tracks, each with their own chairs and committees; these committees have been responsible for selecting and briefing their reviewers and advertising the call for papers into their communities. We believe that this approach has made the conference more accessible to newcomers, and this has been reflected in the increased quantity and quality of papers submitted. \u0000 \u0000The conference theme this year is \"linking people and places\" and celebrates the power and importance of the link, in its widest sense. \u0000 \u0000The first track, Information Linking and Organization, specifically targets the formal study of scholarly, structural, sculptural, spatial, open, dynamic and adaptive or any other type of hypertext (or Web-based Information System). In this track, researchers discuss models, architecture, interfaces, properties, or theory in general, about hypertext and hypermedia. \u0000 \u0000The second track, Applications of Hypertext, has been for many years the most difficult for people to scope; it targets descriptions of applications of hypertext, for example in healthcare, cultural heritage, education or industry, where the affordance of the link has in some way enabled a novel application. \u0000 \u0000The third track, Hypertext, Culture, and Communication, examines the creation and reception of literary machines ranging from literary fiction to creative nonfiction and scholarly argumentation. As hypertext reading and writing become ever more pervasive in society, the rhetoric of links continues to offer frequent surprises and unexpected opportunities. This year's papers integrate fresh insights into spontaneous forms and ephemeral social media with considered reflection on carefully crafted hypermedia. \u0000 \u0000Social Linking track expands the remit of the Social Hypertext track introduced in 2007. This track focuses on one of the most exciting recent developments in Web science, social annotation, by which users can easily markup other authors' resources via collaborative mechanisms such as tagging, filtering, voting, editing, classification, and rating. These social processes lead to the emergence of many types of links between texts, users, concepts, pages, articles, and media. The social linking track has immediately established itself as the most popular venue for this year's Hypertext technical submissions, covering several aspects of design, analysis, and modeling of information systems driven by social linking","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131656999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An epistemic dynamic model for tagging systems","authors":"Klaas Dellschaft, Steffen Staab","doi":"10.1145/1379092.1379109","DOIUrl":"https://doi.org/10.1145/1379092.1379109","url":null,"abstract":"In recent literature, several models were proposed for reproducing and understanding the tagging behavior of users. They all assume that the tagging behavior is influenced by the previous tag assignments of other users. But they are only partially successful in reproducing characteristic properties found in tag streams. We argue that this inadequacy of existing models results from their inability to include user's background knowledge into their model of tagging behavior. This paper presents a generative tagging model that integrates both components, the background knowledge and the influence of previous tag assignments. Our model successfully reproduces characteristic properties of tag streams. It even explains effects of the user interface on the tag stream.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116797679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What can history tell us?: towards different models of interaction with document histories","authors":"A. Jatowt, Yukiko Kawai, H. Ohshima, Katsumi Tanaka","doi":"10.1145/1379092.1379098","DOIUrl":"https://doi.org/10.1145/1379092.1379098","url":null,"abstract":"The current Web is a dynamic collection where little effort is made to version pages or to enable users to access historical data. As a consequence, they generally do not have sufficient temporal support when browsing the Web. However, we think that there are many benefits to be obtained from integrating documents with their histories. For example, a document's history can enable us to travel back through time to establish its trustworthiness. This paper discusses the possible types of interactions that users could have with document histories and it presents several examples of systems that we have implemented for utilizing this historical data. To support our view, we present the results of an online survey conducted with the objective of investigating user needs for temporal support on the Web. Although the results indicated quite low use of Web archives by users, they simultaneously emphasized their considerable interest in page histories.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125840302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Link structures, information flow, and social processes","authors":"J. Kleinberg","doi":"10.1145/1379092.1379096","DOIUrl":"https://doi.org/10.1145/1379092.1379096","url":null,"abstract":"In the ongoing movement toward socially-produced information resources, we are increasingly able to look through the content being created and see the individuals, incentives, and larger social processes at work. Designing and working with large-scale participatory social computing applications requires that we think not just about technological issues, but also about fundamental principles of human social interaction. Through the digital traces that these applications generate, we can begin to quantify and reason about such principles at unprecedented levels of scale and resolution. In this talk, we consider a crucial type of social process in this setting - the mechanisms by which information flows through groups of people engaged in sharing and synthesizing knowledge. As information, ideas, opinions, and beliefs spread through an underlying social network, their dynamics resemble that of an epidemic, moving \"contagiously\" from person to person. But social contagion is different from biological contagion in many respects; understanding the analogies and contrasts between these two kinds of processes leads us to consider the rich temporal characteristics of information flow within a network and the complex decision rules by which people choose to act on new information. The result is a richer picture of the communities that create knowledge and its interlinkages, and of the resources that ultimately arise from these processes.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128049902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hypermedia design patterns","authors":"J. Rubart","doi":"10.1145/1379092.1379146","DOIUrl":"https://doi.org/10.1145/1379092.1379146","url":null,"abstract":"This poster aims at motivating the hypermedia community to identify and describe hypermedia patterns focusing on software design. Design patterns support a shared vocabulary and a shared understanding about design models. In addition, they facilitate reusing prior experience for new designs. An example hypermedia design pattern is provided.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic prediction of communication flow using social context","authors":"M. Choudhury, H. Sundaram, A. John, D. Seligmann","doi":"10.1145/1379092.1379105","DOIUrl":"https://doi.org/10.1145/1379092.1379105","url":null,"abstract":"In this paper, we develop a temporally evolving representation framework for context that can efficiently predict communication flow in social networks between a given pair of individuals. The problem is important because it facilitates determining social and market trends as well as efficient information paths among people. We describe communication flow by two parameters: the intent to communicate and communication delay. To estimate these parameters, we design features to characterize communication and social context. Communication context refers to the attributes of current communication. Social context refers to the patterns of participation in communication (information roles) and the degree of overlap of friends between two people (strength of ties). A subset of optimal features of the communication and social context is chosen at a given time instant using five different feature selection strategies. The features are thereafter used in a Support Vector Regression framework to predict the intent to communicate and the delay between a pair of individuals. We have excellent results on a real world dataset from the most popular social networking site, www.myspace.com. We observe interestingly that while context can reasonably predict intent, delay seems to be more dependent on the personal contextual changes and other latent factors characterizing communication, e.g. 'age' of information transmitted and presence of cliques among people.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116863936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efl and hypertext: using webquests to maximize english teaching","authors":"Madson G. Diniz","doi":"10.1145/1379092.1379136","DOIUrl":"https://doi.org/10.1145/1379092.1379136","url":null,"abstract":"WebQuests have been used as a potential tool in the Educational field. As a technological integrated strategy, students are challenged to think critically and use colloborative learning as a powerful instrument to discover/create knowledge. How can webquests enhance English as a Foreign Language (EFL) students' learning and motivation? WebQuest principles and guidelines will be presented.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116372149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extracting and ranking viral communities using seeds and content similarity","authors":"Hyun Chul Lee, A. Borodin, Leslie H. Goldsmith","doi":"10.1145/1379092.1379121","DOIUrl":"https://doi.org/10.1145/1379092.1379121","url":null,"abstract":"We study the community extraction problem within the context of networks of blogs and forums. When starting from a small set of known seed nodes, we argue that the use of content information (beyond explicit link information) plays an essential role in the identification of the relevant community. Our approach lends itself to a new and insightful ranking scheme for members of the extracted community and an efficient algorithm for inflating/deflating the extracted community. Using a considerably large commercial data set of blog and forum sites, we provide experimental evidence to demonstrate the utility, efficiency, and stability of our methods.","PeriodicalId":285799,"journal":{"name":"Proceedings of the nineteenth ACM conference on Hypertext and hypermedia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114025181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}