Knowledge co-creation in the OrganiCity: Data annotation with JAMAiCA

TL;DR

This paper presents a novel approach to knowledge creation in smart cities through data annotation, combining automated and crowdsourced methods to enhance the utility of heterogeneous IoT data in the OrganiCity ecosystem.

Contribution

It introduces a new data annotation framework for smart city data, integrating automated and crowdsourced techniques within the OrganiCity platform.

Findings

Preliminary results show improved data annotation efficiency.

The approach supports both automated and crowdsourced annotations.

Challenges and use cases are identified and addressed.

Abstract

Numerous smart city testbeds and system deployments have surfaced around the world, aiming to provide services over unified large heterogeneous IoT infrastructures. Although we have achieved new scales in smart city installations and systems, so far the focus has been to provide diverse sources of data to smart city services consumers, while neglecting to provide ways to simplify making good use of them. We believe that knowledge creation in smart cities through data annotation, supported in both an automated and a crowdsourced manner, is an aspect that will bring additional value to smart cities. We present here our approach, aiming to utilize an existing smart city deployment and the OrganiCity software ecosystem. We discuss key challenges along with characteristic use cases, and report on our design and implementation, along with preliminary results.