3cixty: Building comprehensive knowledge bases for city exploration

Abstract

Planning a visit to Expo Milano 2015 or simply touring in Milan are activities that require a certain amount of a priori knowledge of the city. In this paper, we present the process of building such comprehensive knowledge bases that contain descriptions of events and activities, places and sights, transportation facilities as well as social activities, collected from numerous static, near-and real-time local and global data providers, including hyper local sources such as the Expo Milano 2015 official services and several social media platforms. Entities in the 3cixty KB are deduplicated, interlinked and enriched using semantic technologies. The 3cixty KB is empowering the ExplorMI 360 multi-device application, which has been officially endorsed by the E015 Technical Management Board and has gained the patronage of Expo Milano in 2015, thus has offered a unique testing scenario for the 20 million visitors along the 6 months of the exhibit. In 2016-2017, new knowledge bases have been created for the cities of London, Madeira and Singapore, as well as for the entire French Cote d'Azur area. The 3cixty KB is accessible at https: //kb.3cixty.com/sparql while ExplorMI 360 at https://www.3cixty.com and in the Google Play Store and Apple App Store.

Smart City Ontologies and Their Applications: A Systematic Literature Review

“…The paper [189] presents 3cixty, a framework to building a knowledge base that contains descriptions of events and activities, places and monuments, transportation facilities as well as social activities of a city. The development of an information service for tourists visiting the city for a big event, such as Expo, is discussed as an application, which leverages on the KM4City ontology and collects data from static, near-and real-time local and global data providers.…”

Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review

“…Except for 3cixty [19], which presents a tool for consulting a tourism and transport knowledge graph, the rest of the selected papers in this review use KBs for predictive purposes. Giannakopoulou et al [24], Olszewski and Turek [26] and Zavala et al [30] combine the KBs with data extracted from sensors and citizens, either from social media or by employing gamification techniques.…”

Ontological Representation of Smart City Data: From Devices to Cities

“…In this context, ontologies, understood as formal specifications of shared conceptualizations [11], can be used to provide such models in a reusable and extensible manner. Several smart city ontologies have been developed in order to represent data related to cities (e.g., [12][13][14][15][16]). However, these ontologies rely on very specific ontological commitments for their particular needs, which makes data interoperability harder to achieve.…”