Intelligent Agents: The Vision Revisited

As early as the mid sixties, motivated by the ever growing body of scientific knowledge, scholars identified the need for data to be organised in a manner that is more intuitive for humans to digest. Additionally, they envisioned a future where intelligent systems would be able to make sense of vast amounts of data and alleviate humans from performing complex analytical tasks. Although Semantic Web technologies have demonstrated great potential in this regard, the vision has yet to be realised. In this position paper, we examine the status quo in terms of making data available as Linked Data and highlight some of the challenges experienced by Linked Data publishers and consumers. Following on from this we revisit the original vision of the Semantic Web and argue for additional research to support interaction between intelligent software agents constrained via goals, preferences, norms and usage restrictions, in a manner that fosters trustworthiness in the services delivered.

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