Semantic Annotations and Querying of Web Data Sources

2009 ◽  
pp. 112-129 ◽  
Author(s):  
Thomas Hornung ◽  
Wolfgang May
Keyword(s):  
Data Sources ◽  
Web Data ◽  
Semantic Annotations

Fuzzy Integration of Web Data Sources for Data Warehousing

2007 ◽  
pp. 1208-1215 ◽  
Author(s):  
Francisco Araque ◽  
Alberto G. Salguero ◽  
Ramón Carrasco ◽  
Cecilia Delgado
Keyword(s):  
Data Warehousing ◽  
Data Sources ◽  
Web Data

A Framework for Extracting, Classifying, Analyzing, and Presenting Information from Semi-Structured Web Data Sources

2010 ◽  
Vol 1 (3) ◽  
pp. 106-114
Author(s):  
Mahmoud Shaker ◽  
Hamidah Ibrahim ◽  
Aida Mustapha ◽  
Lili Nurliyana Abdullah
Keyword(s):  
Data Sources ◽  
Web Data

scholarly journals A Framework for Extracting Information from Semi-Structured Web Data Sources

2008 ◽  
Author(s):  
Mahmoud Shaker ◽  
Hamidah Ibrahim ◽  
Aida Mustapha ◽  
Lili Nurliyana Abdullah
Keyword(s):  
Data Sources ◽  
Web Data

scholarly journals SEMANTICALLY INTEROPERABLE XML DATA

2013 ◽  
Vol 07 (03) ◽  
pp. 237-255 ◽  
Author(s):  
CRISTOBAL VERGARA-NIEDERMAYR ◽  
FUSHENG WANG ◽  
TONY PAN ◽  
TAHSIN KURC ◽  
JOEL SALTZ
Keyword(s):  
Information Exchange ◽  
Medical Image ◽  
Xml Schema ◽  
Data Sources ◽  
Grid Infrastructure ◽  
Common Data Elements ◽  
Xml Data ◽  
Web Based ◽  
Semantic Annotations ◽  
Data Elements

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

Domain-Relied QSOFM and its Application in Deep Web Topic Classification

2011 ◽  
Vol 255-260 ◽  
pp. 2067-2071
Author(s):  
Liang Zhang ◽  
Yu Liang Lu ◽  
Jin Hong Liu
Keyword(s):  
Quantum Computation ◽  
Network Model ◽  
Classification Algorithm ◽  
Deep Web ◽  
Data Sources ◽  
Self Organization ◽  
Feature Mapping ◽  
Web Data ◽  
Feature Vectors

To solve the problem of Deep Web data sources topic classification, this paper proposed a quantum self-organization feature mapping network model(DR-QSOFM)with a classification algorithm. DR-QSOFM combines quantum computation and traditional SOFM, and relies the feature vectors and target vectors incoordinately in different phases of training, making a more centralized distribution of winner neurons in competitive layer and more obvious boundaries among clusters. Some experiments are designed and done on the expanded TEL-8 dataset to test the validity of DR-QSOFM.

A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources

2011 ◽  
Vol 16 (1) ◽  
pp. 135-151 ◽  
Author(s):  
Ramón A. Carrasco ◽  
Pedro Villar
Keyword(s):  
Heterogeneous Data ◽  
Data Sources ◽  
Web Data ◽  
New Model

scholarly journals Replacing missing values using trustworthy data values from web data sources

2017 ◽  
Vol 892 ◽  
pp. 012009
Author(s):  
M. Izham Jaya ◽  
Fatimah Sidi ◽  
Sharmila Mat Yusof ◽  
Lilly Suriani Affendey ◽  
Iskandar Ishak ◽  
...  
Keyword(s):  
Missing Values ◽  
Data Sources ◽  
Web Data
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