The Governments, military forces and other organisations responsible for cybersecurity deal with vast amounts of data that has to be understood in order to lead to intelligent decision making. Due to the vast amounts of information pertinent to cybersecurity, automation is required for...

The remarkable opportunities of discovering interesting knowledge from Big Data can be exploited in the Cultural Heritage (CH) domain, where Social Data Mining could advantage cultural organizations and operators with strategical elements for enjoying and attracting and enjoy visitors, as well...

The prime textual sources used for ontology learning are a domain corpus and dynamic large text from web pages. The first source is limited and possibly outdated, while the second is uncertain. To overcome these shortcomings, a novel ontology learning methodology is proposed to utilize the...

This article will very briefly indicate some current topics and developments in the field of cognitive engineering (CE), knowledge engineering (KE) and knowledge management (KM). From there, it will present an extensive look at the development and usage of new Dephi model, starting with its...

Evolutionary Algorithms (EA) have proven to be very effective in optimizing intractable problems in many areas. However, real problems including specific constraints are often overlooked by the proposed generic models. The authors' goal here is to show how knowledge engineering techniques can be...

The rise of online P2P lending, as a novel economic lending model, brings new opportunities and challenges for the research of credit risk evaluation. This paper aims to mine information from different data sources to improve the performance of credit risk evaluation models. Be-sides the...