scholarly journals Exploring the Semantic Web as Background Knowledge for Ontology Matching

2008 ◽  
pp. 156-190 ◽  
Author(s):  
Marta Sabou ◽  
Mathieu d’Aquin ◽  
Enrico Motta
Keyword(s):  
Semantic Web ◽  
Background Knowledge ◽  
Ontology Matching

An Integer Linear Programming-Based Method for the Extraction of Ontology Alignment

2021 ◽  
Vol 16 (2) ◽  
pp. 25-44
Author(s):  
Naima El Ghandour ◽  
Moussa Benaissa ◽  
Yahia Lebbah
Keyword(s):  
Linear Programming ◽  
Semantic Web ◽  
Integer Linear Programming ◽  
New Method ◽  
Ontology Matching ◽  
Ontology Alignment ◽  
Programming Techniques ◽  
Data Heterogeneity ◽  
Series Of Experiments

The Semantic Web uses ontologies to cope with the data heterogeneity problem. However, ontologies become themselves heterogeneous; this heterogeneity may occur at the syntactic, terminological, conceptual, and semantic levels. To solve this problem, alignments between entities of ontologies must be identified. This process is called ontology matching. In this paper, the authors propose a new method to extract alignment with multiple cardinalities using integer linear programming techniques. The authors conducted a series of experiments and compared them with currently used methods. The obtained results show the efficiency of the proposed method.

A Framework for Ontology-Based Tourism Application Generator

2011 ◽  
pp. 26-49 ◽  
Author(s):  
Roopa Jakkilinki ◽  
Nalin Sharda
Keyword(s):  
Semantic Web ◽  
Background Knowledge ◽  
Next Generation ◽  
The Core ◽  
Systematic Process

This chapter provides an overview of tourism ontology and how it can be used for developing e-tourism applications. The Semantic Web is the next generation Web; it uses background knowledge captured as an ontology and stored in machine-processable and interpretable form. Ontologies form the core of the Semantic Web and can be used to develop intelligent applications. However, generating applications based on ontology still remains a challenging task. This chapter presents a framework that provides a systematic process for developing intelligent e-tourism applications by using a tourism ontology.

Review of ontology matching with background knowledge

2016 ◽  
Author(s):  
Inne Gartina Husein ◽  
Saiful Akbar ◽  
Benhard Sitohang ◽  
Fazat Nur Azizah
Keyword(s):  
Background Knowledge ◽  
Ontology Matching

A Framework for Ontology-Based Tourism Application Generator

2008 ◽  
pp. 920-937 ◽  
Author(s):  
Roopa Jakkilinki ◽  
Nalin Sharda
Keyword(s):  
Semantic Web ◽  
Background Knowledge ◽  
Next Generation ◽  
The Core ◽  
Systematic Process

This chapter provides an overview of tourism ontology and how it can be used for developing e-tourism applications. The Semantic Web is the next generation Web; it uses background knowledge captured as an ontology and stored in machine-processable and interpretable form. Ontologies form the core of the Semantic Web and can be used to develop intelligent applications. However, generating applications based on ontology still remains a challenging task. This chapter presents a framework that provides a systematic process for developing intelligent e-tourism applications by using a tourism ontology.

scholarly journals Building an effective and efficient background knowledge resource to enhance ontology matching

2018 ◽  
Vol 51 ◽  
pp. 51-68 ◽  
Author(s):  
Amina Annane ◽  
Zohra Bellahsene ◽  
Faiçal Azouaou ◽  
Clement Jonquet
Keyword(s):  
Background Knowledge ◽  
Ontology Matching ◽  
Knowledge Resource
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