• Publications
  • Influence
Understandable Big Data: A survey
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 problemsExpand
  • 198
  • 13
  • PDF
BEAUFORD: A Benchmark for Evaluation of Formalisation of Definitions in OWL
TLDR
We present BEAUFORD, a benchmark for methods which aim to provide formal expressions of concepts using the natural language (NL) definition of these concepts. Expand
  • 4
  • PDF
Improving Open Information Extraction for Semantic Web Tasks
TLDR
We propose an algorithm to shorten multi-word expressions (MWE) into a set of simple triples using OIE. Expand
  • 4
  • PDF
Automatic Detection and Semantic Formalisation of Business Rules
TLDR
We propose to automate detection, extracting, rephrasing and formalising of business rules in regulatory texts. Expand
  • 5
  • PDF
Improving Open Information Extraction Using Domain Knowledge
TLDR
We propose an algorithm to handle multi-word expressions (MWE) before doing Open Information Extraction. Expand
  • 3
  • PDF
Structural Sentence Decomposition via Open Information Extraction
TLDR
The field of construction engineering is governed by an important volume of legal texts. Expand
  • 1
  • PDF
Automated Semantic Enrichment of Ontologies in the Construction Domain
TLDR
We bridge this gap through an approach which aims to provide automatically an OWL expression of a given concept from its natural language definition. Expand
  • 5
  • PDF
An Approach for Automatic Formalization of Business Rules
TLDR
This paper presents an approach that aims to suggest to Construction experts a formal representation of given requirements. Expand
  • 1
  • PDF
NALDO: From natural language definitions to OWL expressions
TLDR
We present NALDO, a novel approach that provides an OWL DL (Web Ontology Language Description Logics) expression of a concept from two inputs: (1) the natural language definition of the concept and an ontology describing the domain of this concept. Expand
  • 1
  • PDF
...
1
2
...