Extending a Flexible Searching Tool for Multiple Database Formats

Abstract

Although all databases frameworks let us make conventional (crisp) searches, there are only a few of them that take into account some flexible, fuzzy, expressive criteria. The few of them that provide some of these searching characteristics are restricted to a particular database format, as FleSe that is devoted to search in a flexible way over Prolog databases. We have extended FleSe framework by an extraordinary feature that allows users to query various conventional and modern databases such as Prolog, CSV, XLS, XLSX, MySQL, and MongoDB or JSON in a fuzzy way. We have developed an adaptable and configurable platform for it so that any user can personalize at runtime. The fuzzy searching criteria can be created and added in a very userfriendly way, so that any user can upload his/her conventional (crisp) database, define the fuzzy search criteria that he/she is interested in and search at the database flexibly and expressively using concepts as similarity, fuzziness, qualification, and negation.

Improvements of Data Management Through Fuzzy Logic

“…The second part is chapter 3, where we present UFleSe and its search engine architecture [11]. We have explained the overall structure of the framework and the background processes while processing the fuzzy query.…”

“…• We have enabled users to upload data files not only in Prolog format (which is not so common to be used by the regular users) but many other different formats (.csv, .sql, .xlsx, .xls, .json, and pl) as well, and to allow regular users to perform flexible searches over these data formats, whose corresponded paper was published in proceedings of the International Conference on Emerging Trends in Electrical, Eommunications, and Information Technologies [11].…”