Matches in ScholarlyData for { ?s ?p ?o. }
- 71 keyword "security".
- 71 title "Object Views: Fine-Grained Sharing in Browsers".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent leo-meyerovich.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent adrienne-felt.
- item-2 previous item-1.
- 731 creator andreas-hotho.
- 731 creator christian-koerner.
- 731 creator dominik-benz.
- 731 creator gerd-stumme.
- 731 creator markus-strohmaier.
- 731 type InProceedings.
- 731 label "Stop thinking, start tagging: Tag semantics arise from collaborative verbosity".
- 731 sameAs 731.
- 731 abstract "Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the factors that influence the evolution of semantic structures in these systems. A natural hypothesis is that the quality of the emergent semantics depends on the pragmatics of tagging: Users with certain usage patterns might contribute more to the resulting semantics than others. In this work, we propose several measures which enable a pragmatic differentiation of taggers by their degree of contribution to emerging semantic structures. We distinguish between categorizers, who typically use a small set of tags as a replacement for hierarchical classification schemes, and describers, who are annotating resources with a wealth of freely associated, descriptive keywords. To study our hypothesis, we apply semantic similarity measures to 64 different partitions of real-world and large-scale folksonomy containing different ratios of categorizers and describers. Our results not only show that 'verbose' taggers are most useful for the emergence of tag semantics, but also that a subset containing only 40% of the most 'verbose' taggers can produce results that match and even outperform the semantic precision obtained from the whole dataset. Moreover, the results suggest that there exists a causal link between the pragmatics of tagging and resulting emergent semantics. This work is relevant for designers and analysts of tagging systems interested (i) in fostering the semantic development of their platforms, (ii) in identifying users introducing "semantic noise", and (iii) in learning ontologies.".
- 731 hasAuthorList authorList.
- 731 isPartOf proceedings.
- 731 keyword "Community".
- 731 keyword "metadata".
- 731 keyword "ontology creation".
- 731 keyword "social mechanisms for the definition of semantics of data".
- 731 title "Stop thinking, start tagging: Tag semantics arise from collaborative verbosity".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasLastItem item-5.
- item-1 type ListItem.
- item-1 hasContent christian-koerner.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent dominik-benz.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent markus-strohmaier.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent andreas-hotho.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent gerd-stumme.
- item-5 previous item-4.
- 74 creator adam-marcus.
- 74 creator david-karger.
- 74 creator edward-benson.
- 74 creator samuel-madden.
- 74 type InProceedings.
- 74 label "Sync Kit: A Persistent Client-Side Database Caching Toolkit for Data Intensive Websites".
- 74 sameAs 74.
- 74 abstract "We introduce a client-server toolkit that demonstrates the potential of client-side database storage for improving the performance of data intensive websites. The Sync Kit toolkit is designed to make use of the embedded relational database defined in the upcoming HTML5 standard to offload some data storage and processing from the web server to clients. Our toolkit provides various synchronization strategies for relational database tables between the browser and the web server, along with a client-side template library so that full-portions web applications may be executed client-side. Unlike prior work in this area, this toolkit persists both templates and data across web sessions, reducing load and bandwidth usage on the server by a factor of up to 5 versus that of a traditional server-only web stack and a factor of 3 versus a template caching approach.".
- 74 hasAuthorList authorList.
- 74 isPartOf proceedings.
- 74 keyword "Caching".
- 74 keyword "replication".
- 74 title "Sync Kit: A Persistent Client-Side Database Caching Toolkit for Data Intensive Websites".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent adam-marcus.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent edward-benson.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent samuel-madden.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent david-karger.
- item-4 previous item-3.
- 740 creator debora-donato.
- 740 creator francesco-bonchi.
- 740 creator tom-chi.
- 740 creator yoelle-maarek.
- 740 type InProceedings.
- 740 label "Do you want to take notes? Identifying research missions in Yahoo! Search Pad".
- 740 sameAs 740.
- 740 abstract "Addressing user's information needs has been one of the main goals of Web search engines since the early days of the Web. Information needs are expressed as a free-text query that the search engine processes in order to return a list of candidate results. In some cases, users cannot get a definitive answer from these results, simply because their need is too complex and heterogeneous to be answered by a single Web page. This typically happens when users investigate a certain topic in domains such as education, travel or health for instance. We refer to this type of activities as "research missions", and we demonstrate in this paper that such missions can be automatically identified on-the-fly, meanwhile the user is interacting with the search engine, through careful analysis of query flows and query sessions. We argue that changing the level of granularity of query modeling, from an isolated query to a list of queries pertaining to the same task, so as to better reflect a certain type of information needs, can be beneficial in a number of Web search applications. We substantiate our claim by showing how research missions brought value to a novel Yahoo! application, called Search Pad, that was launched this year on Yahoo! Search.".
- 740 hasAuthorList authorList.
- 740 isPartOf proceedings.
- 740 keyword "Novel interaction techniques".