NoSQL databases emerged to fill limitations of the relational databases. The many options for each one of the categories, and their distinct characteristics and focus makes this assessment very difficult for decision makers. Most of the... more
NoSQL databases emerged to fill limitations of the relational databases. The many options for each one of the categories, and their distinct characteristics and focus makes this assessment very difficult for decision makers. Most of the time, decisions are taken without the attention and background deserved due to the related complexities. This article aims to compare the relevant characteristics of each database, abstracting the information that bases the market marketing of them. We concluded that although the databases are labeled in a specific category, there is a significant disparity in the functionalities offered by each of them. Also, we observed that new databases are emerging even though there are well-established databases in each one of the categories studied. Finally, it is very challenging to suggest the best database for each category because each scenario has its requirements, which requires a careful analysis where our work can help to simplify this kind of decision.
Письменные источники - это документы, с которыми связана история как наука. Документы истории и история документов тесно переплетены. Автоматический контент-анализ и компьютерная обработка исторических текстов обрели свое собственное... more
Письменные источники - это документы, с которыми связана история как наука. Документы истории и история документов тесно переплетены. Автоматический контент-анализ и компьютерная обработка исторических текстов обрели свое собственное место в мире методов источниковедения и конкретно-исторического анализа.
This chapter consists of an update of a previous publication. Specifically, the chapter aims at describing the most decisive advances in NLIDBs of this decade. Unlike many surveys on NLIDBs, for this chapter, the NLIDBs will be selected... more
This chapter consists of an update of a previous publication. Specifically, the chapter aims at describing the most decisive advances in NLIDBs of this decade. Unlike many surveys on NLIDBs, for this chapter, the NLIDBs will be selected according to three relevant criteria: performance (i.e., percentage of correctly answered queries), soundness of the experimental evaluation, and the number of citations. To this end, the chapter will also include a brief review of the most widely used performance measures and query corpora for testing NLIDBs.
Transfer of research results following to technological innovation and to the experience collected in applying the innovation within an enterprise is a key success factor. A critical factor in transferring innovations to software... more
Transfer of research results following to technological innovation and to the experience collected in applying the innovation within an enterprise is a key success factor. A critical factor in transferring innovations to software processes concerns the knowledge transfer activity which requires the knowledge be explicit and understandable by stakeholders. As so many researchers have been studying alternative ways to conventional approaches i.e. books, papers, reports and other written communication means that favour knowledge acquisition on behalf of users. In this context, we propose the Knowledge Package (KP) structure as alternative. We have carried out an experiment which compared the usability of the proposed approach with conventional ones, along with the efficiency and the comprehensibility of the knowledge enclosed in a KP rather than in a set of Conventional Sources. The experiment has pointed out that knowledge packages are more efficient than conventional ones, for knowledge transfer. The experiment has been described according to guidelines that allow for replications. In this way other researchers can confirm or refute the results and enforce their validity.
