DV&UV 2015 - Data Vitalization and Universal Village: Extended Version of Smart Cities (DV&UV'2015)

During the last few decades the world has witnessed a rapid urbanization process, which has become a worldwide phenomenon. It is expected that the urbanization rate will keep on growing at an unprecedented rate, particularly in developing countries in the coming years. The urbanization process has greatly promoted the modern economy and enhanced the human ability to transform nature and bring great benefits. However, the process of accelerating urban development in the globe also brings many new problems, which are a unique set of challenges for cities in the 21st century. To better solve these problems, the concept of a “Smart City” was coined to refer to the process by which a city acquires changes sufficient to best meet its needs.
Smart city can be defined as a city which has certain smart ability to deal with a city’s problems and provides citizens with a better living environment through intelligently accumulation and analysis of different kinds of data from the city’s routine operation based on advanced information technologies. Traditional data organization processes cannot satisfy the requirements of a smart city. Gathering data is becoming easier whereas finding an effective way to store, manage, and analyze the data has become a more important challenge. During the process of efficiently and effectively utilizing large scale data, “data vitalization” has shown its importance in large-scale data analysis to enable high flexibility such that the system is adaptive to complex analytical applications. As such this workshop aims to discuss key issues and practices of data vitalization in smart city domain.
Utilizing data from heterogeneous sources to support intelligent services for citizens, government and enterprises need to address several important issues, including (1) data sensing: how to obtain the diverse data in the scale of a city operation; how to effectively and efficiently extract entities from unstructured data; (2) data vitalization: how to connect data by identifying hidden relationships between data, how to from the giant knowledge base to facilitate better information seeking and provide high quality service; (3) event driven service: how users’ personalized request in an event which normally integrated several domain smartness can be met by data oriented service, how users’ behaviors can be discovered from heterogeneous data sources, what are the fundamental structures underlying the service provision.
The workshop will provide a forum for researchers to showcase their efforts. Provision of intelligent service for users based on fully analyzing heterogeneous and unstructured data will foster a cross-disciplinary forum to further enhance existing bounds and create new connections among these communities. This workshop solicits contributions on researches and practices of data oriented solutions for smartness request in a smart city.