Explaining Answers from Agent Communication of Semantic Web Information

2008 ◽  
Author(s):  
Vuong Xuan Tran ◽  
Hidekazu Tsuji
Keyword(s):  
Semantic Web ◽  
Agent Communication ◽  
Web Information

Search Engine-Based Web Information Extraction

2011 ◽  
pp. 2048-2081
Author(s):  
Gijs Geleijnse ◽  
Jan Korst
Keyword(s):  
Semantic Web ◽  
Information Extraction ◽  
Search Engine ◽  
Community Based ◽  
Web Information Extraction ◽  
Structure Information ◽  
Web Information ◽  
Structured Information ◽  
The Web ◽  
Standard Semantic

In this chapter we discuss approaches to find, extract, and structure information from natural language texts on the Web. Such structured information can be expressed and shared using the standard Semantic Web languages and hence be machine interpreted. In this chapter we focus on two tasks in Web information extraction. The first part focuses on mining facts from the Web, while in the second part, we present an approach to collect community-based meta-data. A search engine is used to retrieve potentially relevant texts. From these texts, instances and relations are extracted. The proposed approaches are illustrated using various case-studies, showing that we can reliably extract information from the Web using simple techniques.

Designing Web Information Systems for a Framework-Based Construction

2011 ◽  
pp. 310-343
Author(s):  
Vítor Estêvão Silva Souza ◽  
Ricardo de Almeida Falbo ◽  
Giancarlo Guizzardi
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Modeling Language ◽  
Web Engineering ◽  
Web Information ◽  
Web Information Systems ◽  
The Web

In the Web Engineering area, many methods and frameworks to support Web Information Systems (WISs) development have already been proposed. Particularly, the use of frameworks and containerbased architectures is state-of-the-practice. In this chapter, we present a method for designing framework- based WISs called FrameWeb, which defines a standard architecture for framework-based WISs and a modeling language that extends UML to build diagrams that specifically depict framework-related components. Considering that the Semantic Web has been gaining momentum in the last few years, we also propose an extension to FrameWeb, called S-FrameWeb, that aims to support the development of Semantic WISs.

Research on Knowledge Management Visualization of Deep Web

2010 ◽  
Vol 439-440 ◽  
pp. 189-194
Author(s):  
Wei Fang ◽  
Zhi Ming Cui
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
Deep Web ◽  
Good Effect ◽  
Management Approach ◽  
Effective Solution ◽  
Knowledge Visualization ◽  
Semantic Web Technology ◽  
Web Information ◽  
Visualization Process

Deep Web information is heterogeneous and dynamic.　How to make use of this information effectively is a challenging task. To handle this problem, an effective solution is knowledge visualization to management knowledge of Deep Web. So, we introduce the Semantic Web technology into the knowledge visualization process. And, we visualize the process of knowledge management in order to share the knowledge, reuse the knowledge and creative the knowledge. Finally, several ontology visualization examples are shown as the visualized process and knowledge management approach, and make a good effect.

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