Number of items: 3.
and Paquier, MicaÃ«l
and Vagner, Alain
and Bogaerts, JÃ©rÃ´me A Messaging API for Inter-Widgets Communication.
Widget containers are used everywhere on the Web, for instance as customizable start pages to Web desktops. In this poster, we describe the extension of a widget container with an inter-widgets communication layer, as well as the subsequent application programming interfaces (APIs) added to the Widget object to support this feature. We present the benefits of a drag and drop facility within widgets and conclude by a call for standardization of inter-widgets communication on the Web.
and Henzinger, Monika
and Marian, Ludmila
and Weber, Ingmar Purely URL-based Topic Classification.
Given only the URL of a web page, can we identify its topic? This is the question that we examine in this paper. Usually, web pages are classiï¬ed using their content , but a URL-only classiï¬er is preferable, (i) when speed is crucial, (ii) to enable content ï¬ltering before an (objectionable) web page is downloaded, (iii) when a pageâs content is hidden in images, (iv) to annotate hyperlinks in a personalized web browser, without fetching the target page, and (v) when a focused crawler wants to infer the topic of a target page before devoting bandwidth to download it. We apply a machine learning approach to the topic identiï¬cation task and evaluate its performance in extensive experiments on categorized web pages from the Open Directory Project (ODP). When training separate binary classiï¬ers for each topic, we achieve typical F-measure values between 80 and 85, and a typical precision of around 85. We also ran experiments on a small data set of university web pages. For the task of classifying these pages into faculty, student, course and project pages, our methods improve over previous approaches by 13.8 points of F-measure.
and Weber, Ingmar Rethinking Email Message and People Search.
We show how a number of novel email search features can be implemented without any kind of natural language processing (NLP) or advanced data mining. Our approach inspects the email headers of all messages a user has ever sent or received and it creates simple per-contact summaries, including simple information about the message exchange history, the domain of the sender or even the senderâs gender. With these summaries advanced questions/tasks such as âWho do I still need to reply to?â or âFind âfunâ messages sent by friends.â become possible. As a proof of concept, we implemented a Mozilla-Thunderbird extension, adding powerful people search to the popular email client.
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This website has been set up for WWW2009 by Christopher Gutteridge of the University of Southampton, using our EPrints software.
We (Southampton EPrints Project) intend to preserve the files and HTML pages of this site for many years, however we will turn it into flat files for long term preservation. This means that at some point in the months after the conference the search, metadata-export, JSON interface, OAI etc. will be disabled as we "fossilize" the site. Please plan accordingly. Feel free to ask nicely for us to keep the dynamic site online longer if there's a rally good (or cool) use for it... [this has now happened, this site is now static]