Semantic Web-based Context-aware Service Selection in Task-computing

Author(s):  
Runcai Huang ◽  
Yiwen Zhuang ◽  
Jiliang Zhou ◽  
Qiying Cao
2009 ◽  
Vol 29 (3) ◽  
pp. 892-895 ◽  
Author(s):  
Run-cai HUANG ◽  
Yi-wen ZHUANG ◽  
Ji-liang ZHOU ◽  
Qi-ying CAO

2009 ◽  
Vol 25 (4) ◽  
pp. 335-366 ◽  
Author(s):  
Murat Şensoy ◽  
Jie Zhang ◽  
Pinar Yolum ◽  
Robin Cohen

Author(s):  
Huu Hoang Hanh ◽  
Manh Nguyen Tho ◽  
Min Tjoa A.

Formulating unambiguous queries in the Semantic Web applications is a challenging task for users. This article presents a new approach in guiding users to formulate clear requests based on their common nature of querying for information. The approach known as the front-end ap proach gives users an overview about the system data through a vir tual data component which stores the extracted metadata of the data storage sources in the form of an ontology. This approach reduces the ambiguities in users’ requests at a very early stage and allows the query process to effectively perform in fulfilling users’ demands in a context-aware manner. Furthermore, the approach provides a powerful query engine, called context-aware query ing, that recommends the appropriate query patterns according to the user’s querying context.


Author(s):  
Hanh Huu Hoang ◽  
Tho Manh Nguyen ◽  
A Min Tjoa

Formulating unambiguous queries in the Semantic Web applications is a challenging task for users. This article presents a new approach in guiding users to formulate clear requests based on their common nature of querying for information. The approach known as the front-end approach gives users an overview about the system data through a virtual data component which stores the extracted metadata of the data storage sources in the form of an ontology. This approach reduces the ambiguities in users’ requests at a very early stage and allows the query process to effectively perform in fulfilling users’ demands in a context-aware manner. Furthermore, the approach provides a powerful query engine, called context-aware querying, that recommends the appropriate query patterns according to the user’s querying context.


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