A survey on semantic schema discovery

2021 ◽  
Author(s):  
Kenza Kellou-Menouer ◽  
Nikolaos Kardoulakis ◽  
Georgia Troullinou ◽  
Zoubida Kedad ◽  
Dimitris Plexousakis ◽  
...  
Keyword(s):  
2015 ◽  
Vol 44 (1) ◽  
pp. 67-87 ◽  
Author(s):  
Zahra Zojaji ◽  
Mohammad Mehdi Ebadzadeh

2013 ◽  
Vol 9 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Hans-Georg Fill ◽  
Daniela Schremser ◽  
Dimitris Karagiannis

In this paper a generic service oriented architecture for the semantic annotation of conceptual models is described. It allows to annotate elements of conceptual models with concepts from formal semantic schemata. Thereby, additional semantic functionalities for models can be realized. Due to the integration of aspects of service orientation, the platform can be easily extended to support different modeling and semantic schema languages. Furthermore, it can act as an integration platform for other tools working on models and ontologies.


2011 ◽  
Vol 9 (1) ◽  
pp. 52-70 ◽  
Author(s):  
Jeffrey Partyka ◽  
Pallabi Parveen ◽  
Latifur Khan ◽  
B. Thuraisingham ◽  
Shashi Shekhar

2012 ◽  
Vol 06 (01) ◽  
pp. 51-65 ◽  
Author(s):  
MAMDOUH FAROUK ◽  
MITSURU ISHIZUKA

Representing web data in a machine-understandable format is an important task for the next generation of the web. Most solutions reported to date rely on ontologies. However, the use of ontologies is associated with many problems. Moreover, representing web data in a machine-understandable format is not sufficient to respond to all user queries. This paper proposes an approach for representing dynamic web page content retrieved from an underlying database in the concept description language (CDL). This is a semantic format that does not depend on ontologies. However, CDL describes the semantic structure of web content based on a set of predefined concepts and semantic relations. Moreover, this work proposes the addition of extra knowledge to the semantic level of the DB schema to improve the query answering process. A prototype of the proposed approach was implemented to demonstrate its feasibility, and a simple query engine was developed to demonstrate the effectiveness of adding extra knowledge to the DB semantic schema.


2008 ◽  
pp. 961-961
Author(s):  
Shashi Shekhar ◽  
Hui Xiong
Keyword(s):  

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