This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …

Abstract Reasoning with knowledge expressed in natural language and Knowledge Bases
(KBs) is a major challenge for Artificial Intelligence, with applications in machine reading …

We present a comprehensive approach to ontology evaluation and validation, which have
become a crucial problem for the development of semantic technologies. Existing evaluation …

A large number of information systems use many different individual schemas to represent
data. Semantically linking these schemas is a necessary precondition to establish …

We address the problem of dealing with inconsistencies in Description Logic (DL)
knowledge bases. Our general goal is both to study DL semantical frameworks which are …

In this paper we study the diagnosis and repair of incoherent terminologies. We define a
number of new nonstandard reasoning services to explain incoherence through pinpointing …

With the advent of Semantic Web languages such as OWL (Web Ontology Language), the
expressive Description Logic [special characters omitted] is exposed to a wider audience of …

Ontology matching is the process of generating alignments between ontologies. An
alignment is a set of correspondences. Each correspondence links concepts and properties …

One of the major problems of large scale, distributed and evolving ontologies is the potential
introduction of inconsistencies. In this paper we survey four different approaches to handling …

Ontology management and maintenance are considered cornerstone issues in current
Semantic Web applications in which semantic integration and ontological reasoning play a …