Semantic imitation in social tagging
نویسندگان
چکیده
منابع مشابه
Towards Social Semantic Suggestive Tagging
The organization of the knowledge on the web is increasingly becoming a social task performed by online communities whose members share a common interest in classifying different types of information for a later retrieval. Collaborative tagging systems allow people to organize a set of resources of interest through unconstrained annotations based on free keywords commonly named tags. Suggestive...
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Tagging has proven to be a successful and efficient way for creating metadata through a human collective intelligence. It can be considered not only an application of individuals for expressing one’s interests, but also as a starting point for leveraging social connections through collaborative user participations. A number of users have contributed to tag resources in web sites such as Del.ici...
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Recent trends in the World Wide Web have shown an impressive growth of Web 2.0 systems, which are characterized by easy-to-use, interactive, and participatory usage scenarios. Users in Web 2.0 applications are more than ever active in the Web content lifecycle: They contribute with their opinion by annotating content (the so-called tagging); they add and annotate content (e.g., by using public,...
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Monkeys recognize when they are being imitated, but they seem unable to learn by imitation. These facts make sense if imitation is seen as two different capacities: social mirroring, when actions are matched and have social benefits; and learning by copying, when new behavioural routines are acquired by observation.
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Annotea is a framework that supports Semantic Web based collaboration and authoring via Annotea objects, such as social annotations, bookmarks, and topics. Social bookmarks and topics can be used for semantic authoring in many levels. They let ordinary users tag interesting Web documents with their own personal concepts (folksonomies). These concepts can be simple or form hierarchies, and they ...
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ژورنال
عنوان ژورنال: ACM Transactions on Computer-Human Interaction
سال: 2010
ISSN: 1073-0516,1557-7325
DOI: 10.1145/1806923.1806926