IOT-HUB: A DIGITAL LIBRARY
The interest concerning Internet of Things (IoT) has been continuously and rapidly growing over the last decade. A simple internet search regarding the term IoT returns more than 200 million results. A similar interest rise can be observed in the scientific community regarding research around IoT, leading to hundreds of research papers published and indexed in large databases. Though these databases offer a number of possibilities to users, a common issue in most of them, is that the access is restricted or limited. We believe that this implies the need for the creation of a database, where users can freely search through scientific publications regarding IoT. In this paper, we present the software application proposed as a solution, that we have developed, named "IoT-hub - A digital Library for IoT publications". The initial architecture of the system was designed using jADL, an Architecture Description Language, and it consists of a database and a user/admin interface for the visualisation and manipulation of the data. The database is a MySQL relational database and holds all the necessary information regarding a publication, such as author, title, affiliation, keywords, DOI, etc. The interface is divided in two parts; one for users and one for the administrators. The user will be able to browse through the whole database or search the data for concrete results concerning an author/title/etc. Aggregated results specified from multiple records can be visualised in charts for better readability. Additionally, users can add records to the systems' database, through the designed interface for importing information. Those records are then reviewed by an administrator and, if approved, are added to the database. Furthermore, administrators can operate on the database (add/edit/delete records) and control the access of users. An additional interface can be used by administrators for the automatic extraction of records from other databases (concerning meta-information of a publication – author, title, etc.) and their import in the system. Finally, an analysis of the publications records of the database is performed. The results obtained can be seen in the scientometric analysis presented there.