Automatic conversion of web content into ontology-based resource description language for tourism domain

2012 ◽  
Vol 12 (3) ◽  
pp. 267
Author(s):  
Palanisamy Jayaprabha ◽  
Arumugam Saradha
Keyword(s):  
Web Content ◽  
Description Language ◽  
Resource Description

Enriching the trustworthiness of health-related web pages

2011 ◽  
Vol 17 (2) ◽  
pp. 116-126 ◽  
Author(s):  
Arnaud Gaudinat ◽  
Sarah Cruchet ◽  
Celia Boyer ◽  
Pravir Chrawdhry
Keyword(s):  
Resource Description Framework ◽  
Quality Criteria ◽  
Web Pages ◽  
Web Content ◽  
Quality Model ◽  
Dublin Core ◽  
Health Related ◽  
Description Framework ◽  
Resource Description ◽  
Element Set

We present an experimental mechanism for enriching web content with quality metadata. This mechanism is based on a simple and well-known initiative in the field of the health-related web, the HONcode. The Resource Description Framework (RDF) format and the Dublin Core Metadata Element Set were used to formalize these metadata. The model of trust proposed is based on a quality model for health-related web pages that has been tested in practice over a period of thirteen years. Our model has been explored in the context of a project to develop a research tool that automatically detects the occurrence of quality criteria in health-related web pages.

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.

scholarly journals Resource Description Language: A Unified Description Language for Network Embedded Resources

2012 ◽  
Vol 8 (8) ◽  
pp. 860864 ◽  
Author(s):  
André C. Santos ◽  
Luís D. Pedrosa ◽  
Martijn Kuipers ◽  
Rui M. Rocha
Keyword(s):  
Description Language ◽  
Resource Description ◽  
Unified Description

scholarly journals A Query Search Technique for Semantic Web Based on The Dynamic Distribution of Backjumping Method

2019 ◽  
Vol 8 (6) ◽  
pp. 899-904
Keyword(s):  
Semantic Web ◽  
Fuzzy Graph ◽  
Search Technique ◽  
Description Language ◽  
Web Based ◽  
Dynamic Distribution ◽  
Rdf Data ◽  
Description Framework ◽  
Matching Techniques ◽  
Resource Description

In the resource description language of the semantic web, vagueness of Resource Description Framework (RDF) data is playing an important role. The effective querying of the RDF data is increasing importance in semantic web. In this research, the Dynamic Distribution of BackJumping (DDBJ) algorithm is proposed in the fuzzy graph due to the ability of the algorithm to maintain its autonomy in the data. The fuzzy graph is generated from the triplets in the RDF and the vertices, edges are extracted from pattern matching techniques. The vertices and edges are applied in the DDBJ to suggest the query in the semantic web. To analyze the effectiveness of the proposed DDBJ, the two real datasets are used. The proposed DDBJ method has the f-measure of 59 %, while the state-of-art method such as backtracking has achieved 56 %. The result shows that the DDBJ method has the higher performance than existing method in query processing.

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