Towards Mobility Data Science (Vision Paper)

Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated significant impact in various domains including traffic management, urban planning, and health sciences. In this paper, we present the emerging domain of mobility data science. Towards a unified approach to mobility data science, we envision a pipeline having the following components: mobility data collection, cleaning, analysis, management, and privacy. For each of these components, we explain how mobility data science differs from general data science, we survey the current state of the art and describe open challenges for the research community in the coming years.Comment: Updated arXiv metadata to include two authors that were missing from the metadata. PDF has not been change

Recent Advances in Social Data and Artificial Intelligence 2019

The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace

31th International Conference on Information Modelling and Knowledge Bases

Information modelling is becoming more and more important topic for researchers, designers, and users of information systems.The amount and complexity of information itself, the number of abstractionlevels of information, and the size of databases and knowledge bases arecontinuously growing. Conceptual modelling is one of the sub-areas ofinformation modelling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines, who have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. We also aim to recognize and study new areas on modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too. In the conference, there will be three categories of presentations, i.e. full papers, short papers and position papers

Object Duplicate Detection

With the technological evolution of digital acquisition and storage technologies, millions of images and video sequences are captured every day and shared in online services. One way of exploring this huge volume of images and videos is through searching a particular object depicted in images or videos by making use of object duplicate detection. Therefore, need of research on object duplicate detection is validated by several image and video retrieval applications, such as tag propagation, augmented reality, surveillance, mobile visual search, and television statistic measurement. Object duplicate detection is detecting visually same or very similar object to a query. Input is not restricted to an image, it can be several images from an object or even it can be a video. This dissertation describes the author's contribution to solve problems on object duplicate detection in computer vision. A novel graph-based approach is introduced for 2D and 3D object duplicate detection in still images. Graph model is used to represent the 3D spatial information of the object based on the local features extracted from training images so that an explicit and complex 3D object modeling is avoided. Therefore, improved performance can be achieved in comparison to existing methods in terms of both robustness and computational complexity. Our method is shown to be robust in detecting the same objects even when images containing the objects are taken from very different viewpoints or distances. Furthermore, we apply our object duplicate detection method to video, where the training images are added iteratively to the video sequence in order to compensate for 3D view variations, illumination changes and partial occlusions. Finally, we show several mobile applications for object duplicate detection, such as object recognition based museum guide, money recognition or flower recognition. General object duplicate detection may fail to detection chess figures, however considering context, like chess board position and height of the chess figure, detection can be more accurate. We show that user interaction further improves image retrieval compared to pure content-based methods through a game, called Epitome

Natural Language Processing: Emerging Neural Approaches and Applications

This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning, understanding, production, and grounding interactively or autonomously from data in cognitive and neural systems, as well as on their potential or real applications in different domains

Luxury retail brands and their consumers in emerging markets: developing mobile marketing and sustaining the brand value

Understanding an individual’s self-interests remains a challenging task for consumer marketing because brands have no direct access to individual’s inner mind in order to satisfy his or her consumption-related wants, needs and expectations. In the case of luxury brands, customer service experts only seek to maintain close relationships with wealthy and elite customers, and they cannot extend the same individualized services to mass-market consumers. Among the new middle classes in emerging markets, consumers do not have strong brand attachments, but they do have high purchasing power with regard to luxuries. To bridge this gap, mobile technology could be an ideal interface through which luxury brands could enhance interactive communication and engagement with consumers. Nevertheless, research findings have revealed major discrepancies in the adoption of technology. While luxury brands have been ‘slow’ in their adoption of such technologies, consumers have adopted mobile devices as extensions of themselves in the digital world, which greatly enrich their lifestyles. Therefore, a medium should be developed to bridge this gap. The Gearbox of Exchange is proposed to help integrate the consumer’s self-interests with those of luxury brands. Through conditional access with a mutually agreed-upon exchange value to balance privacy concerns and financial risks, the consumer might be willing to share customized information with the brands with which they trust to engage. The luxury brands will benefit from the sharing of this customized information, as they can better predict an individual’s preferences and choices. This virtual engagement will revitalize customization to activate personalized services for every individual. These mutually agreed-upon interactions will develop into a mutual interdependence, a B2B2C relationship. This bond will protect brands from severe competition. More importantly, their knowledge of customized information, which is provided through their direct access to consumers’ self-interests, will fill the black box of radical behaviourism and enhance these brands’ abilities to predict individual choices. Therefore, the knowledge generated from the Gearbox of Exchange will not be meaningless to transform consumer analysis into micro marketing

Sustainability and Consumer Behaviour

This book highlights the latest research findings on sustainability within the context of consumer behaviour. It brings together the collaborative work of researchers from Finland, Denmark, USA, the Netherland, Mexico, Korea, Saudi Arabia, Malaysia, Indonesia, Thailand, Taiwan and China to improve our understanding on consumer behaviour and its relationship with sustainable resource consumption. The thirteen chapters in this book focus on different aspects of consumer behaviour and sustainability, including purchase intentions towards recycled products, environment fit hospitality experiences, purchase intentions of recycling items, consumer loyalty, electric vehicle market consumption, consumption of the educational products, revisit intention, online complaint behaviour, consumer and CSR, eco-friendly behaviour, brand trust and social media consumer communication

Culture, People and Technology: The Driving Forces for Tourism Cities Proceedings of 8th ITSA Biennial Conference 2020

This is the proceedings of the 8th Biennial Conference of the International Tourism Studies Association, held in Jakarta and Singapore, 2nd December 202