Mashups for web search engines

2Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Current practice in looking for information on the web states that searchers rely on large-scale web search engines to get assistance. The quality of the search results is analogous to the ability of the searchers to accurately express their information needs as keywords in the search engine’s input box. In this chapter, an attempt is made to explore the various efforts that have been made regarding the query construction/refinement phase of a search session on the web. Along these lines, a number of cases are presented that are based on intuitively created mashups for the underlying web search engine. Particular attention is given to two query construction/refinement mashups that integrate various DBpedia datasets with the web search engine provided by Google.

Cite

CITATION STYLE

APA

Papadakis, I., & Apostolatos, I. (2013). Mashups for web search engines. In Semantic Mashups: Intelligent Reuse of Web Resources (pp. 91–117). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-36403-7_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free