Applying an Ontology Learning Methodology to a Relational Database: University Case Study

Gil, Richard; Martín-Bautista, María J.; Contreras, Leonardo

doi:10.1109/icsc.2010.46

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…It presents a method that can identify the hierarchy of relational schema. An analysis and compare about the capability, complexity of previous approaches by a university case is presented in [11].…”

Section: Related Workmentioning

confidence: 99%

Bridging the Mapping between Ontology and Relation Schemas Based on ORMapping Technology

Qian

Shen

2011

AMM

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Ontology plays a key role in such areas: knowledge engineering, artificial intelligence, information retrieval, semantic web and web service. It is important to recover knowledge associated with specific domains in relational database to semantics, especially, in Ontology learning field. Previous works showed that ontologies can learn from relational database. However, the presented approaches still have some limits. In this paper, we present an ontology learning method based on Object Relation Mapping (ORM) that presents how the source of the databases can be exploited to ontology and the details of object can be generated, such as class hierarchies, relationship and properties.

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Section: Related Workmentioning

confidence: 99%

Bridging the Mapping between Ontology and Relation Schemas Based on ORMapping Technology

Qian

Shen

2011

AMM

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“…Other SMOL applications for the same case study using other KSo have been reported: a) OL by comparing to domain ontology located and recovered from the Internet . And, b) relevant knowledge about profiles of professor's subdomain from a relational database (RDB) of another University was obtained (Gil et al, 2010).…”

Section: Academic Case Studymentioning

confidence: 99%

A SYSTEMIC METHODOLOGY FOR ONTOLOGY LEARNING - An Academic Case Study and Evaluation

Gil

Contreras

Martín-Bautista

2010

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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There is an important dispersion of technical and methodological resources to support the complete Ontology Learning (OL) process from diverse knowledge sources. This fact makes the maintaining of the structures of representation (ontologies) difficult. Therefore, the Knowledge-based Systems associated with user's domains may not fulfil the increasing knowledge requirement from the user. In this paper, we give a possible solution for this problem. For this purpose, we propose a Systemic Methodology for OL (SMOL) that unifies and simplifies to the users the whole process of OL from different knowledge sources (ontologies, texts and databases). SMOL as methodology is evaluated under DESMET methods, in addition with their application for an academic case study is also included. 206 Gil R., Contreras L. and J. Martín-Bautista M.. A SYSTEMIC METHODOLOGY FOR ONTOLOGY LEARNING -An Academic Case Study and Evaluation.

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An Ontology-Learning Knowledge Support System to Keep e-Organization’s Knowledge Up-to-Date: A University Case Study

Gil

Martín-Bautista

2011

Electronic Government and the Information Systems Perspective

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Applying an Ontology Learning Methodology to a Relational Database: University Case Study

Cited by 4 publications

References 13 publications

Bridging the Mapping between Ontology and Relation Schemas Based on ORMapping Technology

Bridging the Mapping between Ontology and Relation Schemas Based on ORMapping Technology

A SYSTEMIC METHODOLOGY FOR ONTOLOGY LEARNING - An Academic Case Study and Evaluation

An Ontology-Learning Knowledge Support System to Keep e-Organization’s Knowledge Up-to-Date: A University Case Study

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