Document-oriented bases allow high flexibility in data representation which facilitates a rapid development of applications and enables many possibilities for structuring. Unfortunately, cases, due to this the absence modelling, choice is neglected by developers leading issues on several aspects document base application quality; e.g., memory print, redundancy, readability maintainability. We a...

Big Data scenarios often involve massive collections of nested data objects, typically referred to as “documents.” The challenges of document management at web scale have stimulated a recent trend towards the development of document-centric “NoSQL” data stores. Many query tasks naturally involve reasoning over data residing across NoSQL and relational “SQL” databases. Having data divided over s...

The advent of large amounts of data on the web has closed the gap between the document storage and database communities. In this paper, this work is continued by the description of the foundations for temporal document databases. We describe the V2 temporal document database, which supports storage, retrieval, and querying of temporal documents. We describe functionality and operations/operator...

Temporal document databases are interesting in a number of contexts, in general document databases as well as more specialized applications like temporal XML/Web warehouses. In order to efficiently manage temporal document versions, a temporal document database system should be employed. In this paper, we describe the V2 temporal document database system, which supports storage, retrieval, and ...

The advent of the Internet has made the illegal dissemination of copyrighted material easy. An important problem is how to automatically detect when a \new" digital document is \suspiciously close" to existing ones. The SCAM project at Stanford University has addressed this problem when there is a single registered-document database. However, in practice, text documents may appear in many auton...

The advent of large amounts of data on the web has closed the gap between the document storage and the database communities. In this paper, this work is continued by the description of the foundations for temporal document databases. We describe functionality and operations/operators to be supported by such systems, and more specifically we describe the architecture for management of temporal d...

The difficulty of the topics or queries is one of important factors in evaluating information retrieval (IR) systems. This paper analyzes the differences of system ranking affected by the topic difficulty using a test collection ’NTCIR-1,’ which is constructed for evaluating Japanese IR systems and composed of (1) the topics, (2) the document database, and (3) the lists of relevant judgments. F...

In recent years, “document store” NoSQL systems have exploded in popularity. A large part of this popularity has been driven by the adoption of the JSON data model in these NoSQL systems. JSON is a simple but expressive data model that is used in many Web 2.0 applications, and maps naturally to the native data types of many modern programming languages (e.g. Javascript). The advantages of these...

In the future, with the advent of the smart factory era, manufacturing and logistics processes will become more complex, and the complexity and criticality of traceability will further increase. This research aims at developing a performance assessment method to verify scalability when implementing traceability systems based on key technologies for smart factories, such as Internet of Things (I...