Resolving Semantic Schema Heterogeneity

2011 ◽  
Keyword(s):  
Semantic Schema

Semantic schema theory for genetic programming

2015 ◽  
Vol 44 (1) ◽  
pp. 67-87 ◽  
Author(s):  
Zahra Zojaji ◽  
Mohammad Mehdi Ebadzadeh
Keyword(s):  
Genetic Programming ◽  
Schema Theory ◽  
Semantic Schema

A Generic Approach for the Semantic Annotation of Conceptual Models Using a Service-Oriented Architecture

2013 ◽  
Vol 9 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Hans-Georg Fill ◽  
Daniela Schremser ◽  
Dimitris Karagiannis
Keyword(s):  
Conceptual Models ◽  
Service Oriented Architecture ◽  
Semantic Annotation ◽  
Formal Semantic ◽  
Service Orientation ◽  
Integration Platform ◽  
Service Oriented ◽  
Semantic Schema ◽  
Schema Languages ◽  
Generic Service

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.

Self-adaptive semantic schema mechanism for multimedia databases

2002 ◽  
Author(s):  
Jun Yang ◽  
Qing Li ◽  
Yueting Zhuang
Keyword(s):  
Multimedia Databases ◽  
Semantic Schema ◽  
Self Adaptive

Semantic Schema Matching without Shared Instances

2009 ◽  
Author(s):  
Jeffrey Partyka ◽  
Latifur Khan ◽  
Bhavani Thuraisingham
Keyword(s):  
Schema Matching ◽  
Semantic Schema

Enhanced geographically typed semantic schema matching

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

CDL-BASED SEMANTIC REPRESENTATION FOR DYNAMIC WEB PAGES

2012 ◽  
Vol 06 (01) ◽  
pp. 51-65 ◽  
Author(s):  
MAMDOUH FAROUK ◽  
MITSURU ISHIZUKA
Keyword(s):  
Semantic Representation ◽  
Web Pages ◽  
Web Content ◽  
Web Data ◽  
Description Language ◽  
Semantic Level ◽  
Query Engine ◽  
Dynamic Web ◽  
Semantic Schema ◽  
Simple Query

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.

Resolving Semantic Schema Heterogeneity

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

Semantic schema modeling for genetic programming using clustering of building blocks

2017 ◽  
Vol 48 (6) ◽  
pp. 1442-1460 ◽  
Author(s):  
Zahra Zojaji ◽  
Mohammad Mehdi Ebadzadeh
Keyword(s):  
Genetic Programming ◽  
Building Blocks ◽  
Semantic Schema
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