Abstract
The scenario defined by current Web architectures and paradigms poses challenges and opportunities to users, in particular as far as collaborative resource management is concerned. A support to face such challenges is represented by semantic annotations. However, especially in collaborative environments, disagreements can easily rise, leading to incoherent, poor and ultimately useless annotations. The possibility of keeping track of “private annotations” on shared resources represents a significative improvement for collaborative environments. In this paper, we present a model for managing “personal views” over shared resources on the Web, formally defined as structured sets of semantic annotations, enabling users to apply their individual point of view over a common perspective provided in shared workspaces. This model represents an original contribution and a significative extension with respect to our previous work, even being part of a larger project, SemT++, aimed at developing an environment supporting users in collaborative resource management on the Web.
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Notes
- 1.
Besides being a very common format, quite easy to parse, HTML poses interesting challenges to the semantic modeling, since it introduces a further layer – the HTML encoding – between the “digital object”, encoded for instance in UTF-8, and the information content representing the Web page itself. We are extending the Smart Object Analyzer functionality in order to analyze other formats.
- 2.
Parameter t, representing time, is omitted in the OWL version of the Table Ontology.
- 3.
From the implementation point of view, this requires that all the assertions in the triplestore are loaded in the OWL knowledge base (together with the ontology).
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Goy, A., Magro, D., Petrone, G., Picardi, C., Segnan, M. (2016). Shared and Personal Views on Collaborative Semantic Tables. In: Molli, P., Breslin, J., Vidal, ME. (eds) Semantic Web Collaborative Spaces. SWCS SWCS 2014 2013. Lecture Notes in Computer Science(), vol 9507. Springer, Cham. https://doi.org/10.1007/978-3-319-32667-2_2
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