An aggregation search engine based On RESTful Web services and Mashup

Author

Pan, Bing ; Liang, Kaifa

Author_Institution

Sch. of Electr. & Inf., Jinan Univ., Zhuhai, China

Volume

3

fYear

2011

fDate

10-12 June 2011

Firstpage

142

Lastpage

146

Abstract

Sharing and participation are the goals of Web2.0, and the search engine is one of its important applications. As a way of realization of Web2.0 concept and search engine, RESTful Web service and Mashup have been the industry´s attention. In order to integrate different data sources from more than one web search provider, we proposed Aggregation Search Engine (ASE) architecture based on RESTful Web services and Mashup and object-oriented software engineering methodology, and implemented a Mashup ecosystem. A case study is given to verify the feasibility of the ASE and ecosystem by the aggregation of Google AJAX Search API and Microsoft Search Bing. It reflects well Web2.0 features, and has flexibility, scalability, and reusability.

Keywords

Web services; search engines; software engineering; Google AJAX Search API; Mashup ecosystem; Microsoft Search Bing; RESTful Web services; Web 2.0; aggregation search engine; application program interface; object-oriented software engineering methodology; Ecosystems; Google; Mashups; Search engines; Service oriented architecture; Mashup; RESTful Web service; desgin pattern; ecosystem; search engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8727-1

Type

conf

DOI

10.1109/CSAE.2011.5952652

Filename

5952652