In this new era of “big data”, traditional DBMSs are under attack from two sides. At one end of the spectrum, the use of document store NoSQL systems (e.g. MongoDB) threatens to move modern Web 2.0 applications away from traditional RDBMSs. At the other end of the spectrum, big data DSS analytics that used to be the domain of parallel RDBMSs is now under attack by another class of NoSQL data an...

It is important for a government unit or a company to monitor the intranet security and staffs’ activities during the working time. Collecting and processing massive user behaviors is difficult in the distributed intranet with thousands of hosts. In view of this, this paper proposes a P2P and MongoDB based Intranet User Behavior Control system (PM-IUBC) which consists of the user terminal, the ...

This paper presents a textline detection method for degraded historical documents. Our method follows a conventional two-step procedure that the binarization is first performed and then the textlines are extracted from the binary image. In order to address the challenges in historical documents such as document degradation, structure noise, and skews, we develop new methods for the binarization...

In this document, I present the main notions of NoSQL databases and compare four selected products (Riak, MongoDB, Cassandra, Neo4J) according to their capabilities with respect to consistency, availability, and partition tolerance, as well as performance. I also propose a few criteria for selecting the right tool for the right situation.

In this paper, we describe an integrated document management system based on the object-oriented database system OMS. The underlying idea is to replace the current vision of a le system with that of a document database system, thereby ooering higher-level user support for the management of all forms of computer-stored information and work activities. The object-oriented database system provides...

We propose a new approach to automate document image layout extraction for an object-oriented database feature population using rapid low level feature analysis, preclassification and predictive coding. The layout information comprised of region location and classification data is transformed into ‘feature object(s)’. The information is then fed into an intelligent document image retrieval syst...

Relational databases provide technology for scalable queries over persistent data. In many application scenarios a problem with conventional relational database technology is that loading large data logs produced at high rates into a database management system (DBMS) may not be fast enough, because of the high cost of indexing and converting data during loading. As an alternative a modern index...