In this paper, we discuss a contribution towards the integration of social information in the
index structure of an IR system. Since each user has his/her own understanding and point of …

Purpose In an academic and research institution of repute, where the student researcher's
creative mind and innovative potentials are the kingpin factors, it is of primary interest to …

In the era of information technology, the two developing sides are data science and artificial
intelligence. In terms of scientific data, one of the tasks is the extraction of social networks …

Social graph construction from various sources has been of interest to researchers due to its
application potential and the broad range of technical challenges involved. The World Wide …

In recent years, data-driven methods have shown great success for extracting information
about the infrastructure in urban areas. These algorithms are usually trained on large …

In this paper, we proposed an approach to automatically generate timeline summarization
for sub-event discussions related to a query event without supervised learning. In order to …

Modern cities use information and communication technologies to obtain deep insights on
the different aspects of the way they operate, which can allow officials to make informed …

Data analysis is the process of inspecting, cleaning, extract, and modeling data with the
intention of extracting useful information in order to support users in their decisions. With the …

The fast growth and the popularity of the social media platforms makes it easier to get
information. These allow users to discuss public issues and express their thinking to the …

In this paper, our purpose is to create a large collection of related vocabularies and concepts
to the user's favorite field (articles, people, conferences, books, etc.) from the available …