Research Topics List:
- Modeling, validation, and implementation of business processes
- Intelligent business processes – models, infrastructures, and applications
- Data mining – algorithms, tools, applications, and issues
- Asset management and software quality
- Cloud computing – models, tools, languages, and design patterns
- Informatique et société
The Internet is present in all spheres of activity of modern society. It became the ideal way for distributing information and deliver services. Varieties of applications, ranging from e-business to e-government, through distance learning and telemedicine, meet real needs and are revolutionizing our daily lives. Communication applications have also revolutionized our social space by redefining the way humans interact, and by defining new unseen social structures. Our daily use of e-commerce and social media applications, or even our simple whereabouts (while carrying our smartphone), are generating a tremendous amount of data that can reveal a lot about our habits, needs, desires, and even opinions. Various organisations can or could go through all this data, with the aim of, for instance, improving a transportation network, optimize product placement on store shelves in order to increase sales, or prevent fraudulent activites. However, one needs to know what to look where, where to look for it, and how to find it in an efficient manner. We must also address the problem posed by data confidentiality, the respect of private life, and the ethical issues of profiling, in order to aknowledge them and maybe contribute to the solution.
Hence, the problem of design and implementation of web applications is:
1) Actual, as much in our everyday life as the advancement of research works;
2) Multidisciplinary, implementing several disciplinary fields as computer science (eg, software engineering, telecommunications, artificial intelligence), mathematics (eg. data mining), management sciences (business processes modeling, marketing), social psychology (customer experience management), sociology (social issues raised by profiling and big data), and communications (social networks);
3) Unifying: Our problem requires an integrated approach to certain problems disciplinary that raises new challenges in these disciplines, and creates new opportunities. An example is the Semantic Web, which combines concepts for knowledge representation in distributed applications, or contextual applications, i.e., mobile commerce, which require an integrated approach with the aspects of artificial intelligence, distribution, security, and databases.