Automated annotation of scientific publications in real-world digital libraries requires dealing with challenges such as large number of concepts and training examples, multi-label training examples and hierarchical structure of concepts. BioASQ is a European project that contributes a large-scale biomedical publications corpus for working on these challenges. This paper documents the participa...

The evolutionary stability is a fundamental issue in single-criterion games. This paper considers the evolutionary stability in multicriteria games. Since a payoff is given by a vector, we provide several concepts which are equivalent in single-criterion games and investigate their hierarchical structure. On the other hand, Shapley has introduced concepts called a strong and a weak equilibrium....

In this paper, optimal and hierarchical control concepts are investigated for cooperative formation flying of aircrafts. The airplanes are modeled as point mass and represented by double integrators. And all the planes are considered to be in a plane. For demonstration of the concepts, a task of forming a square from arbitrary initial conditions is presented to four airplanes. The final positio...

A new methodology for classification of objects and categorisation of concepts is proposed. Fuzzy concept or category can be defined by a set of examples. Evidence is collected from all the features in each example in the example set. If a feature of an example appears to exist in an unknown object, it assumes that there is some support for the unknown object to be classified as the concept of ...

In modeling multiagent systems for real-life problems, techniques for approximate reasoning about vague concepts and dependencies (ARVCD) are necessary. We discuss an approach to approximate reasoning based on rough sets. In particular, we present a number of basic concepts such as approximation spaces, concept approximation, rough inclusion, construction of information granules in calculi of i...

This paper presents a flexible conceptual framework for pub-lic health indicator databases. The model is a multidimensional-hierarchical representation of statistical data describing health and health influencing factors. The main characteristics of the IDA model are the strong discrimination of concepts (categories of entities enumerated in statistical systems) and dimensions (aspects that div...

In this paper we present the methodologies and challenges of information retrieval. We will focus on data mining, data warehousing, information retrieval, data mining ontology, intelligent information retrieval. We will also focus on fundamental concepts behind all information retrieval methods. The Data Mining Ontology is a formal description of the domain concepts and the relation between the...

To complement the weakness of Petri nets in terms of naturalness, modularity, and reusability, high-level Petri nets with object concepts have been suggested. It is difficult to apply these nets to the requirements specification of object-oriented software systems because of insufficient support for the object-oriented concepts. A hierarchical object-oriented Petri net (HOONet) is developed to ...

In this paper we present a system that uses its underlying physiology, a hierarchical memory and a collection of memory management algorithms to learn concepts as cases and to build higher level concepts from experiences represented as sequences of atoms. Using a memory structure that requires all base memories to be grounded in introspective atoms, the system builds a set of grounded concepts ...

In an effort to find a general model which could capture the essence of any concept, we chose to narrow down the first part of our research to patents only. Patents can be considered as adequate first-step substitutes for concepts in general, because of their diversity and the precision of their descriptions. Our aim is to define a model which could allow detection of individual concepts and re...