Ontologies provide shared and reusable pieces of knowledge about a specific domain. Building an ontology by hand is a very hard and prone to errors task. Ontology learning from existing resources provides a good solution to this issue. Databases are widely used to store data. They were often considered as the most reliable sources for knowledge extraction. NOSQL databases are more and more used...

This work focuses on performance and scalability of different policies for solving queries on large noSQL databases with clusters. Distribution of data and queries are amongst the main problems, given the distributed nature of clusters: basically a set of networked computers. The basic centralized model (for both, data and processing) is used as a departure point and different distributed confi...

In recent years, various distributed NoSQL datastores have been developed that offer horizontal scalability and higher availability than traditional relational databases, but fewer querying options and only reduced consistency guarantees. The diversity of the design space makes it difficult to understand the performance implications of individual system designs. Existing benchmarking tools meas...

A significant barrier to the portability of queries across diverse physical implementations of large data stores, especially NoSQL data stores, is that the queries reference the physical storage attributes, such as the table and column names. In this paper, we describe a technique for embedding ontological expressions called Address Expressions, or A-Expressions, in NoSQL queries to improve the...

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For several decades, relational databases have represented the indisputable reference solution for transactional data management. Over the last years, however, we have witnessed the proliferation of a new generation of in-memory, transactional data platforms, often referred to as NoSQL data grids. By relying on a simpler data model (key/value vs relational), lightweight application interfaces (...

Process-Aware Information System (PAIS) are IT systems that manages, supports business processes and generate large event logs from execution of business processes. An event log is represented as a tuple of the form CaseID, TimeStamp, Activity and Actor. Process Mining is an emerging area of research that deals with the study and analysis of business processes based on event logs. Process Minin...