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- Stasinos Konstantopoulos, Angelos Charalambidis
- FUZZ-IEEE
- 2010

—We describe an Inductive Logic Programming (ILP) approach to learning descriptions in Description Logics (DL) under uncertainty. The approach is based on implementing many-valued DL proofs as propositionalizations of the elementary DL constructs and then providing this implementation as background predicates for ILP. The proposed methodology is tested on a… (More)

We propose a purely extensional semantics for higher-order logic programming. In this semantics program predicates denote sets of ordered tuples, and two predicates are equal iff they are equal as sets. Moreover, every program has a unique minimum Herbrand model which is the greatest lower bound of all Herbrand models of the program and the least… (More)

Extensional higher-order logic programming has been introduced as a generalization of classical logic programming. An important characteristic of this paradigm is that it preserves all the well-known properties of traditional logic programming. In this paper we consider the semantics of negation in the context of the new paradigm. Using some recent results… (More)

- Angelos Charalambidis, Athanasios Grivas, Nikolaos S. Papaspyrou, Panos Rondogiannis
- Mathematics in Computer Science
- 2008

The intensional transformation is a technique that can be used in order to eliminate higher-order functions from a functional program by introducing appropriate context manipulation operators. The transformation can be applied to a significant class of higher-order programs and results in equivalent zero-order intensional programs that can be executed in a… (More)

- Angelos Charalambidis, Antonis Troumpoukis, Stasinos Konstantopoulos
- SEMANTICS
- 2015

Processing SPARQL queries involves the construction of an efficient <i>query plan</i> to guide query execution. Alternative plans can vary in the resources and the amount of time that they need by orders of magnitude, making planning crucial for efficiency. On the other hand, the construction of optimal plans can become computationally intensive and it also… (More)

- Angelos Charalambidis, Panos Rondogiannis, Ioanna Symeonidou
- Theor. Comput. Sci.
- 2017

Two distinct research approaches have been proposed for assigning a purely extensional semantics to higher-order logic programming. The former approach uses classical domain-theoretic tools while the latter builds on a fixed-point construction defined on a syntactic instantiation of the source program. The relationships between these two approaches had not… (More)

We consider an extensional higher-order logic programming language which possesses the minimum Herbrand model property. We propose an SLD-resolution proof procedure and we demonstrate that it is sound and complete with respect to this semantics. In this way, we extend the familiar proof theory of first-order logic programming to apply to the more general… (More)

Extensional higher-order logic programming has been recently proposed as an interesting extension of classical logic programming. An important characteristic of the new paradigm is that it preserves all the well-known properties of traditional logic programming. In this paper we enhance ex-tensional higher-order logic programming with constructive negation.… (More)

Dataset description vocabularies focus on provenance, ver-sioning, licensing, and similar metadata. VoID is a notable exception, providing some expressivity for describing subsets and their contents and can, to some extent, be used for discovering relevant resources and for optimizing querying. In this poster we describe an extension of VoID that provides… (More)

- Stasinos Konstantopoulos, Angelos Charalambidis, Giannis Mouchakis, Antonis Troumpoukis, Jürgen Jakobitsch, Vangelis Karkaletsis
- International Semantic Web Conference
- 2016

The ability to cross-link large scale data with each other and with structured Semantic Web data, and the ability to uniformly process Semantic Web and other data adds value to both the Semantic Web and to the Big Data community. This paper presents work in progress towards integrating Big Data infrastructures with Semantic Web technologies, allowing for… (More)