Add to ORKGAbstract—We present ant colony optimisation approach, en-riched with a novel self-adaptation mechanism, applied to solve DIVERSUM Problem that consits of generating a small diversi-fied entity summarisation in a knowledge graph. The recently proposed DIVERSUM problem is viewed in this paper in a novel way as a NP-hard combinatorial optimisation problem. The presented preliminary experimental results indicate superiority of this approach to the previously proposed solutions to the DIVERSUM problem
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
An ensemble is a collective decision making system which applies some strategy to combine the predic...
An ant colony optimization approach for partitioning a set of objects is proposed. In order to minim...
A problem of diversified entity summarisation in RDF-like knowledge graphs, with limited “presentati...
Given an entity represented by a single node q in semantic knowledge graph D, the Graphical Entity S...
The approach of using multiple ant colonies is an extension of the Ant Colony Optimization framework...
Ant Colony Systems have been widely employed in optimization issues primarily focused on path findin...
This paper concerns the issue of diversity in entity summarisation on RDF knowledge graphs. In parti...
Ant colony (or swarm intelligence)optimization has become and important and powerful optimization he...
In the so-called Big Data paradigm descriptive analytics are widely conceived as techniques and mode...
The clustering algorithms have evolved over the last decade. With the continuous success of natural ...
Ant Colony Optimisation (ACO) is a constructive metaheuristic that uses an analogue of ant trail phe...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
This paper proposes an algorithm for the set covering problem based on the metaheuristic Ant Colony ...
Summarization: This paper presents a new hybrid algorithm, which is based on the concepts of the art...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
An ensemble is a collective decision making system which applies some strategy to combine the predic...
An ant colony optimization approach for partitioning a set of objects is proposed. In order to minim...
A problem of diversified entity summarisation in RDF-like knowledge graphs, with limited “presentati...
Given an entity represented by a single node q in semantic knowledge graph D, the Graphical Entity S...
The approach of using multiple ant colonies is an extension of the Ant Colony Optimization framework...
Ant Colony Systems have been widely employed in optimization issues primarily focused on path findin...
This paper concerns the issue of diversity in entity summarisation on RDF knowledge graphs. In parti...
Ant colony (or swarm intelligence)optimization has become and important and powerful optimization he...
In the so-called Big Data paradigm descriptive analytics are widely conceived as techniques and mode...
The clustering algorithms have evolved over the last decade. With the continuous success of natural ...
Ant Colony Optimisation (ACO) is a constructive metaheuristic that uses an analogue of ant trail phe...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
This paper proposes an algorithm for the set covering problem based on the metaheuristic Ant Colony ...
Summarization: This paper presents a new hybrid algorithm, which is based on the concepts of the art...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
An ensemble is a collective decision making system which applies some strategy to combine the predic...
An ant colony optimization approach for partitioning a set of objects is proposed. In order to minim...