Linking Smart Cities Datasets with Human Computation – The Case of UrbanMatch

Celino, Irene; Contessa, Simone; Corubolo, Marta; Dell’Aglio, Daniele; Valle, Emanuele Della; Fumeo, Stefano; Krüger, Thorsten

doi:10.1007/978-3-642-35173-0_3

Cited by 25 publications

(19 citation statements)

References 22 publications

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“…Tis implies to develop scalable methods to select, triplify, match, and integrate mobilityrelated open data and user generated content, so that these data can be plugged in the data warehouse of the analytic IRMA services. Two research directions will be explored, as efficient techniques for the on-the-go matching of linked data schemas and quality-driven methods to fuse semantic data coming from different sources will be defined by extending techniques applied to service descriptions extracted from Web sources [27], or by adopting a Human Computation approach to improve urban-related information via user-centric contributions [28].…”

Section: Resultsmentioning

confidence: 99%

Integrated Mobility: A Research in Progress

Motta¹,

Antonella²,

Sacco³

et al. 2013

JSEA

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We here present an ongoing research project about an integrated real time mobility assistant, which has been developed for the call "Personal Integrated Mobility" of the EU framework program. The assistant is aimed to support personal mobility in a near future scenario, where green, shared or public transports are replacing the current private, carbon transportation system. The assistant handles itineraries, which are based on goals of time, energy/pollution and cost, and supports users both before and during the trip. The service will gather and interpret any relevant source of information on transport resources and their availability. Information includes user generated content and social data. Given the globalization of users and the hourly peaks of mobility, the assistant is a cloud service, which integrates existing technologies; however a global extension requires a federation of clouds and, above all, the interpretation and validation of social data. These can be considered major research challenges.

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Section: Resultsmentioning

confidence: 99%

Integrated Mobility: A Research in Progress

Motta¹,

Antonella²,

Sacco³

et al. 2013

JSEA

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“…Smart cities target a variety of issues, e.g., mobility, governance, economy, environment, and rely on citizens participation and contribution. We will present in the tutorial, two smart cities projects, namely UrbanMatch [4] and CollabMap [10], that use and extend PROV.…”

Section: Prov and Smart Citiesmentioning

confidence: 99%

The W3C PROV family of specifications for modelling provenance metadata

Missier

Belhajjame

Cheney

2013

Proceedings of the 16th International Conference on Extending Database Technology

148

106

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Provenance, a form of structured metadata designed to record the origin or source of information, can be instrumental in deciding whether information is to be trusted, how it can be integrated with other diverse information sources, and how to establish attribution of information to authors throughout its history. The PROV set of specifications, produced by the World Wide Web Consortium (W3C), is designed to promote the publication of provenance information on the Web, and offers a basis for interoperability across diverse provenance management systems. The PROV provenance model is deliberately generic and domain-agnostic, but extension mechanisms are available and can be exploited for modelling specific domains. This tutorial provides an account of these specifications. Starting from intuitive and informal examples that present idiomatic provenance patterns, it progressively introduces the relational model of provenance along with the constraints model for validation of provenance documents, and concludes with example applications that show the extension points in use.

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“…Guess What?! [18] [4] GWAP Associate LOD concepts to images Table 1 Overview of approaches addressing problems in various stages of the Semantic Web life-cycle [27], their genres and the type of crowdsourcing tasks that they employ. plex concept definitions.…”

Section: Use Of Crowdsourcing For Knowledge Acquisitionmentioning

confidence: 99%

“…is a Jeopardy-style quiz game. UrbanMatch [4] relies on players' mobility to link LOD concepts to representative images from an image database.…”

Section: Use Of Crowdsourcing For Knowledge Acquisitionmentioning

confidence: 99%

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Crowd-based ontology engineering with the uComp Protégé plugin

Wohlgenannt

Sabou

Hanika

2016

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Abstract. Crowdsourcing techniques provide effective means for solving a variety of ontology engineering problems. Yet, they are mainly used as external support to ontology engineering, without being closely integrated into the work of ontology engineers. In this paper we investigate how to closely integrate crowdsourcing into ontology engineering practices. Firstly, we show that a set of basic crowdsourcing tasks are used recurrently to solve a range of ontology engineering problems. Secondly, we present the uComp Protégé plugin that facilitates the integration of such typical crowdsourcing tasks into ontology engineering from within the Protégé ontology editor. An evaluation of the plugin in a typical ontology engineering scenario where ontologies are built from automatically learned semantic structures, shows that its use reduces the working times for the ontology engineers 11 times, lowers the overall task costs by 40% to 83% depending on the crowdsourcing settings used and leads to data quality comparable with that of tasks performed by ontology engineers. Evaluations on a large anatomy ontology confirm that crowdsourcing is a scalable and effective method: good quality results (accuracy of 89% and 99%) are obtained while achieving cost reductions of 75% from the ontology engineer costs and providing comparable overall task duration.

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Linking Smart Cities Datasets with Human Computation – The Case of UrbanMatch

Cited by 25 publications

References 22 publications

Integrated Mobility: A Research in Progress

Integrated Mobility: A Research in Progress

The W3C PROV family of specifications for modelling provenance metadata

Crowd-based ontology engineering with the uComp Protégé plugin

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