A Non-Euclidean Model for Web Retrieval

2000 ◽  
pp. 233-238 ◽  
Author(s):  
Z. W. Wang ◽  
R. B. Maguire ◽  
Y. Y. Yao
Keyword(s):  
Web Retrieval

Reliability Analysis for the Behavior of Web Retrieval Users

2010 ◽  
Vol 21 (5) ◽  
pp. 1055-1066 ◽  
Author(s):  
Rong-Wei CEN ◽  
Yi-Qun LIU ◽  
Min ZHANG ◽  
Li-Yun RU ◽  
Shao-Ping MA
Keyword(s):  
Reliability Analysis ◽  
Web Retrieval

Web Retrieval of XML Documents

2011 ◽  
pp. 170-199
Author(s):  
Barbara Catania ◽  
Elena Ferrari
Keyword(s):  
Expressive Power ◽  
Data Representation ◽  
Query Languages ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Xml Data ◽  
Web Documents ◽  
Web Retrieval ◽  
Heterogeneous Data Sources ◽  
The Web

Web is characterized by a huge amount of very heterogeneous data sources, that differ both in media support and format representation. In this scenario, there is the need of an integrating approach for querying heterogeneous Web documents. To this purpose, XML can play an important role since it is becoming a standard for data representation and exchange over the Web. Due to its flexibility, XML is currently being used as an interface language over the Web, by which (part of) document sources are represented and exported. Under this assumption, the problem of querying heterogeneous sources can be reduced to the problem of querying XML data sources. In this chapter, we first survey the most relevant query languages for XML data proposed both by the scientific community and by standardization committees, e.g., W3C, mainly focusing on their expressive power. Then, we investigate how typical Information Retrieval concepts, such as ranking, similarity-based search, and profile-based search, can be applied to XML query languages. Commercial products based on the considered approaches are then briefly surveyed. Finally, we conclude the chapter by providing an overview of the most promising research trends in the fields.

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