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

2011 ◽  
Vol 58-60 ◽  
pp. 1523-1528
Author(s):  
Hai Zhong Qian ◽  
Su Bin Shen
Keyword(s):  
Artificial Intelligence ◽  
Information Retrieval ◽  
Semantic Web ◽  
Web Service ◽  
Relational Database ◽  
Knowledge Engineering ◽  
Object Relation ◽  
Learning Method ◽  
Ontology Learning ◽  
Class Hierarchies

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.

An Ontological Business Process Modeling Approach for Public Administration

2012 ◽  
pp. 535-563
Author(s):  
Ioannis Savvas ◽  
Nick Bassiliades ◽  
Kalliopi Kravari ◽  
Georgios Meditskos
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Public Administration ◽  
Business Processes ◽  
Knowledge Engineering ◽  
Service Description ◽  
Semantic Web Service ◽  
General Methodology ◽  
Electronic Model ◽  
Administration Procedure

In this chapter, an electronic model of Public Administration’s operation using an ontology as a means to a formalized representation of knowledge is presented. According to the proposed model, every public administration procedure is viewed as a service offered to some external entity and is represented as a (Semantic) Web service, semantically annotating its functional parameters, profile, and workflow. The modeling of public administration services/procedures involved the commonly used IOPE (Inputs – Outputs – Preconditions – Effects) model of OWL-S for Semantic Web Service description. This chapter also presents a specific use case about the Human Resource Management department of the Region of Central Macedonia. In order to do so, certain extensions/adaptations of the general methodology were needed. In this chapter the authors fully present and justify these adaptations that were deployed in order to turn the general methodology into a really flexible and re-usable tool to model any public administration procedure. Furthermore, the authors describe the full knowledge engineering cycle for developing the ontology of this department’s business processes.

Research on Automatic Construction of Financial Ontology Using Chinese Encyclopedia Resource

2013 ◽  
Vol 765-767 ◽  
pp. 1240-1244
Author(s):  
Qian Mo ◽  
Shu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Information Retrieval ◽  
Semantic Web ◽  
Large Scale ◽  
Semantic Information ◽  
Dominant Role ◽  
Experimental Results ◽  
Automatic Construction ◽  
Scale Creation

Ontology plays a dominant role in a growing number of different fields, such as information retrieval, artificial intelligence, semantic Web and knowledge management, etc. However, manual construction of large ontology is not feasible. This article discusses how to create Financial Ontology automatically from a resource of Chinese Encyclopedia. Financial Ontology includes Is-A relationship, Class-Instance relationship, Attribute-of relationship and Synonym relationship. Experimental Results show us that the constructed Financial Ontology has great advantages in the large scale, creation cost and the richness of semantic information.

An Ontological Business Process Modeling Approach for Public Administration

2012 ◽  
pp. 725-753 ◽  
Author(s):  
Ioannis Savvas ◽  
Nick Bassiliades ◽  
Kalliopi Kravari ◽  
Georgios Meditskos
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Public Administration ◽  
Business Processes ◽  
Knowledge Engineering ◽  
Service Description ◽  
Semantic Web Service ◽  
General Methodology ◽  
Electronic Model ◽  
Administration Procedure

In this chapter, an electronic model of Public Administration’s operation using an ontology as a means to a formalized representation of knowledge is presented. According to the proposed model, every public administration procedure is viewed as a service offered to some external entity and is represented as a (Semantic) Web service, semantically annotating its functional parameters, profile, and workflow. The modeling of public administration services/procedures involved the commonly used IOPE (Inputs – Outputs – Preconditions – Effects) model of OWL-S for Semantic Web Service description. This chapter also presents a specific use case about the Human Resource Management department of the Region of Central Macedonia. In order to do so, certain extensions/adaptations of the general methodology were needed. In this chapter the authors fully present and justify these adaptations that were deployed in order to turn the general methodology into a really flexible and re-usable tool to model any public administration procedure. Furthermore, the authors describe the full knowledge engineering cycle for developing the ontology of this department’s business processes.

Research on Construction of Database Domain Ontology

2013 ◽  
Vol 717 ◽  
pp. 736-741 ◽  
Author(s):  
Xue Jiang ◽  
Ying Liu ◽  
Ying Zhang ◽  
Zhen Fang ◽  
De Peng Dang
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Knowledge Sharing ◽  
Domain Knowledge ◽  
Knowledge Engineering ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Domain Ontology ◽  
Tutoring System ◽  
Knowledge Learning

Domain ontology, which is widely used in knowledge engineering, artificial intelligence and semantic Web domain, describes concepts of the entities and mutual relationships between them. However, there is no existing research on construction of database domain ontology. Domain ontology of database will help to optimize associative knowledge learning in teaching and develop the intelligent tutoring system. It can also maximize domain knowledge sharing and reusing. In this paper, database domain ontology is constructed, and then we achieve the visualization. Finally we also implement the persistent storage of ontology and query.

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