Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent davide-bolchini.
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- item-2 hasContent franca-garzotto.
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- item-3 hasContent paolo-paolini.
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- 291 creator mohammad-mannan.
- 291 creator paul-van-oorschot.
- 291 type InProceedings.
- 291 label "Privacy-Enhanced Sharing of Personal Content on the Web".
- 291 sameAs 291.
- 291 abstract "Publishing personal content on the web is gaining increased popularity with dramatic growth in social networking websites, and availability of cheap personal domain names and hosting services. Although the Internet enables easy publishing of any content intended to be generally accessible, restricting personal content to a selected group of contacts is more difficult. Social networking websites partially enable users to restrict access to a selected group of users of the same network by explicitly creating a ``friends' list.'' While this limited restriction supports users' privacy on those (few) selected websites, personal websites must still largely be protected manually by sharing passwords or obscure links. Our focus is the general problem of privacy-enabled web content sharing from any user-chosen web server. By leveraging the existing ``circle of trust'' in popular Instant Messaging (IM) networks, we propose a scheme called IM-based Privacy-Enhanced Content Sharing (IMPECS) for personal web content sharing. IMPECS enables a publishing user's personal data to be accessible only to her IM contacts. A user can put her personal web page on any web server she wants (vs. being restricted to any specific social networking website), and maintain privacy of her content without requiring site-specific passwords. Our prototype of IMPECS required only minor modifications to an IM server, and PHP scripts on a web server. The general idea behind IMPECS extends beyond IM and IM circles of trust; any equivalent scheme, (ideally) containing pre-arranged groups, could similarly be leveraged.".
- 291 hasAuthorList authorList.
- 291 hasTopic World_Wide_Web.
- 291 isPartOf proceedings.
- 291 keyword "circle of trust".
- 291 keyword "personal content".
- 291 keyword "privacy".
- 291 keyword "social networking".
- 291 keyword "web publishing".
- 291 title "Privacy-Enhanced Sharing of Personal Content on the Web".
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- item-1 hasContent mohammad-mannan.
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- item-2 hasContent paul-van-oorschot.
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- 299 creator frank-neven.
- 299 creator geert-jan-bex.
- 299 creator stijn-vansummeren.
- 299 creator wouter-gelade.
- 299 type InProceedings.
- 299 label "Learning Deterministic Regular Expressions for the Inference of Schemas from XML Data".
- 299 sameAs 299.
- 299 abstract "Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning \emph{deterministic} regular expressions from sets of positive example words. Unfortunately, there is no algorithm capable of learning the complete class of deterministic regular expressions from positive examples only, as we will show. The regular expressions occurring in practical DTDs and XSDs, however, are such that every alphabet symbol occurs only a small number of times. As such, in practice it suffices to learn the subclass of regular expressions in which each alphabet symbol occurs at most $k$ times, for some small $k$. We refer to such expressions as $k$-occurrence regular expressions ($k\ores$ for short). Motivated by this observation, we provide a probabilistic algorithm that learns $k\ores$ for increasing values of $k$, and selects the one which best describes the sample based on a Minimum Description Length argument. The effectiveness of the method is empirically validated both on real world and synthetic data sets. Furthermore, the method is shown to be conservative over the simpler classes of expressions considered in previous work.".
- 299 hasAuthorList authorList.
- 299 hasTopic World_Wide_Web.
- 299 isPartOf proceedings.
- 299 keyword "XML".
- 299 keyword "regular expressions".
- 299 keyword "schema inference".
- 299 title "Learning Deterministic Regular Expressions for the Inference of Schemas from XML Data".
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- item-1 type ListItem.
- item-1 hasContent geert-jan-bex.
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- item-2 hasContent wouter-gelade.
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- item-3 hasContent frank-neven.
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- item-4 hasContent stijn-vansummeren.
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- 302 creator boerkur-sigurbjoernsson.
- 302 creator roelof-van-zwol.
- 302 type InProceedings.
- 302 label "Flickr Tag Recommendation based on Collective Knowledge".
- 302 sameAs 302.
- 302 abstract "Online photo services such as Flickr and Zooomr allow users to share their photos with family, friends, and the online community at large. An important facet of these services is that users manually annotate their photos using so called tags, which describe the contents of the photo or provide additional contextual and semantical information. In this paper we investigate how we can assist users in the tagging phase. The contribution of our research is twofold. We analyse a representative snapshot of Flickr and present the results by the hand of a tag characterisation focussing on how users tags photos and what information is contained in the tagging. Based on this analysis, we present and evaluate tag recommendation strategies to support the user in the photo annotation task by recommending a set of tags that can be added to the photo. The results of the empirical evaluation show that we can effectively recommend relevant tags for a variety of photos with different levels of exhaustiveness of original tagging.".
- 302 hasAuthorList authorList.
- 302 hasTopic World_Wide_Web.
- 302 isPartOf proceedings.
- 302 keyword "flickr".
- 302 keyword "photo annotations".
- 302 keyword "tag characterisation".
- 302 keyword "tag recommendation".
- 302 title "Flickr Tag Recommendation based on Collective Knowledge".
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- item-1 hasContent boerkur-sigurbjoernsson.
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- item-2 hasContent roelof-van-zwol.
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- 303 creator virpi-roto.