Εξαγωγή χωροχρονικής πληροφορίας από κοινωνικά δίκτυα και ανάπτυξη εφαρμογής
A big amount of data along with the need for retrieval of this information, creates the need for new technologies and methods. Improved methods or discovering new for information retrieval from large databases is a challenge. The rapid development of technologies and methods to retrieve / export large amounts of data simultaneously leads to increased needs for finding improved techniques, in terms of response time and performance. This thesis aims at extracting information from social networks such as Flickr, and its storage in a database. The exported information meets some requirements, for example, will cover some specific locations or a predetermined time period. For the purpose of the thesis, we studied the Flickr API and analyzed the potentials it offers to the user. In order to export and storage the exported data, a NoSQL database, MongoDB, a cross-platform document-oriented database is used. We also created a web application which gives the opportunity to combine a simple search with keywords with geographical or time constraints.