Towards Provenance Aware Comment Tracking for Web Applications

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Provenance has been demonstrated as an important component in web applications such as mashups, as a means of resolving user questions. However, such provenance may not be usable by all members of a given applications user base. In this paper, we discuss how crowdsourcing could be employed to allow individual users to get questions answered by the greater user base. We begin by discussing a technology-agnostic model for incorporating Provenance Aware Comment Trackers (PACTs) into web applications. Following this, we present an example of a PACT-extended application with accompanying two accompanying use cases.


DateCreated ByLink
July 19, 2011
James MichaelisDownload
July 18, 2011
James MichaelisDownload

Related Projects:

Inference Web Project LogoInference Web
Principal Investigator: Deborah L. McGuinness
Description: The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust. Provenance - if users (humans and agents) are to use and integrate data from unknown, uncertain, or multiple sources, they need provenance metadata for evaluation Interoperability - more systems are using varied sources and multiple information manipulation engines, thus increasing interoperability requirements Explanation/Justification - if information has been manipulated (i.e., by sound deduction or by heuristic processes), information manipulation trace information should be available Trust - if some sources are more trustworthy than others, trust ratings are desired The Inference Web consists of two important components: Proof Markup Language (PML) Ontology - Semantic Web based representation for exchanging explanations including provenance information - annotating the sources of knowledge justification information - annotating the steps for deriving the conclusions or executing workflows trust information - annotating trustworthiness assertions about knowledge and sources IW Toolkit - Web-based and standalone tools that facilitate human users to browse, debug, explain, and abstract the knowledge encoded in PML.

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Future Web
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