Message from IQ2S 2019 Chairs

Modern devices (e.g., smartphones, sensors, wearable, IoTs) supporting a wide variety of pervasive computing applications and services including cyber-physical systems and smart environments (e.g., smart cities, smart grid, smart transportation, smart healthcare) produce and consume a huge amount of data, gathered from the monitored physical phenomena, or obtained through online services including social networks and media. More recently, the crowdsensing paradigm has also brought about new possibilities for data collection and retrieval by smart devices carried by human beings. The collected (big) data need to be processed through data analytics techniques to extract knowledge for actionable inferences.

However, gathering a large volume of sensory data from heterogeneous sources brings a myriad of research challenges. For example, granularity of data may differ from highly populated areas to rural areas, hence making applications using such data differ based on the location of pervasive services. Data aggregation also poses significant challenges depending on the format and language in which such data are retrieved, and on the precision of the devices collecting them. Moreover, automatically storing big data under uncertainty may also lead to possible imprecisions and hence incorrect decisions. In essence, the quality of information (QoI) and trustworthiness of data (e.g., crowdsensed data may suffer from fake news, rumors, users' selfish and malicious intents) become of paramount importance, in addition to guaranteeing the desired quality of service (QoS) of the applications and end users relying on the IoT and pervasive services. The 10th Workshop on Information Quality and QoS for Pervasive Computing (IQ2S 2019) focuses on novel techniques, models and tools to efficiently analyze big data while preserving information quality and quality of services.

The IQ2S 2019 Workshop presents a high quality program consisting of two featured invited talks, two technical sessions that include 7 papers on topics ranging from data quality for wristbands applications to novel methods for data acquisition, and a cutting-edge panel on "Information Quality and Trustworthiness in Cyber-Physical and IoT Systems," to foster further discussions on the workshop theme.

Technical Program Committee