Annotea: an open RDF infrastructure for shared Web annotations
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E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
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ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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ePart'10 Proceedings of the 2nd IFIP WG 8.5 international conference on Electronic participation
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Proceedings of the 5th Annual ACM Web Science Conference
Journal on Computing and Cultural Heritage (JOCCH)
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Annotea provides an annotation protocol to support collaborative Semantic Web-based annotation of digital resources accessible through the Web. It provides a model whereby a user may attach supplementary information to a resource or part of a resource in the form of: either a simple textual comment; a hyperlink to another web page; a local file; or a semantic tag extracted from a formal ontology and controlled vocabulary. Hence, annotations can be used to attach subjective notes, comments, rankings, queries or tags to enable semantic reasoning across web resources. More recently, tabbed browsers and specific annotation tools, allow users to view several resources (e.g., images, video, audio, text, HTML, PDF) simultaneously in order to carry out side-by-side comparisons. In such scenarios, users frequently want to be able to create and annotate a link or relationship between two or more objects or between segments within those objects. For example, a user might want to create a link between a scene in an original film and the corresponding scene in a remake and attach an annotation to that link. Based on past experiences gained from implementing Annotea within different communities in order to enable knowledge capture, this paper describes and compares alternative ways in which the Annotea Schema may be extended for the purpose of annotating links between multiple resources (or segments of resources). It concludes by identifying and recommending an optimum approach which will enhance the power, flexibility and applicability of Annotea in many domains.