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This paper presents an early model of two-layer object perception for the process of artificial semiosis. Following from essential research on cognitive science, semiotics and process of semiosis an approach to capture the process of developing lexicon in a distributed multi-agent system is presented. It should be stressed that the presented research is still in its preliminary state and the presented...
As the volume of biomedical literature increases, it can be challenging for clinicians to stay up-to-date. Graphical summarization systems help by condensing knowledge into networks of entities and relations. However, existing systems present relations out of context, ignoring key details such as study population. To better support precision medicine, summarization systems should include such information...
This study examines the nature of issue-based Twitter response networks using the hashtag "#illridewithyou. This hashtag was a response of solidarity towards Muslims in Australia after a hostage incident that occurred in Sydney in December 2014. A network of 11293 users that used the hashtag #illridewithyou and their tweets were analyzed to examine the nature of engagement at network, ego, and...
Aspect based sentiment analysis (ABSA) is an opinion mining process where texts are analyzed to extract the sentiments that their authors express towards certain features and characteristics of particular entities, such as products or persons. Key role in the effectiveness of this process plays the accurate and complete identification of the entities' discussed aspects within the text, as well as...
The extraction of macroscopic mobile context reflecting users' personal and social behavior patterns from smartphone sensor data (e.g., GPS/Bluetooth signals) is crucial in building intelligent pervasive systems. Hierarchical Dirichlet Processes (HDP), a well known Bayesian nonparametrics model for grouped data, is a promising option to achieve this objective due to its ability of discovering high-level...
Research on semantics in Genetic Programming (GP) has increased over the last number of years. Results in this area clearly indicate that its use in GP considerably increases performance. Many of these semantic-based approaches rely on a trial-and-error method that attempts to find offspring that are semantically different from their parents over a number of trials using the crossover operator (crossover-semantics...
The objective function is the core element in most search algorithms that are used to solve engineering and scientific problems, referred to as the fitness function in evolutionary computation. Some researchers have attempted to bridge this difference by reducing the need for an explicit fitness function. A noteworthy example is the novelty search (NS) algorithm, that substitutes fitness with a measure...
Service composition has been acknowledged as a promising approach to create new (composite) services that are capable of supporting multiple needs of service users. Service composition has been used quite extensively to support complex but relatively stable enterprise processes. More recently, service composition is also being applied to support the personalization of services delivered to human end-users...
Our goal is to enhance on-site personalized access and recommendations for cultural heritage. We have designed and implemented the SMARTMUSEUM platform using adaptive and privacy preserving user profiling. The described recommendation system relies on combining a semantics/ontologies based approach with a data mining/statistics based approach. The paper presents the architecture and main methods of...
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