BirdFinder: Web search and audio search extension

Author

Restrepo-Arango, Camilo ; Jimenez-Guarin, Claudia

Author_Institution

Dept. of Syst. & Comput. Eng., Univ. de los Andes, Bogota, Colombia

fYear

2013

Firstpage

1

Lastpage

6

Abstract

BirdFinder is a bird search engine that applies concepts of information retrieval and Web 2.0 to allow nonexpert users to access information using text and audio search mechanisms. It integrates audio, images and identification characteristics related to the ornithology domain. Content is stored in a highly scalable NoSQL repository. The main contribution of this work is a software architecture and two complementary search mechanisms to access non-structured content. This paper presents an evaluation of the application using information retrieval relevance measures to evaluate the search performance. Evaluation shows a good performance for both search engines providing ground for further research.

Keywords

Internet; information retrieval; search engines; software architecture; BirdFinder; NoSQL repository; Web 2.0; Web search extension; audio search extension; bird search engine; complementary search mechanisms; identification characteristics; images characteristics; information retrieval relevance measures; nonstructured content; ornithology domain; search performance evaluation; software architecture; Birds; Data models; Feature extraction; Indexes; Libraries; Search engines; Audio Search; Bird Information; HBase; Information Retrieval; NoSQL; Non-Structured Content; Web Search; Web2.0;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing Colombian Conference (8CCC), 2013 8th

Conference_Location

Armenia

Print_ISBN

978-1-4799-1054-0

Type

conf

DOI

10.1109/ColombianCC.2013.6637519

Filename

6637519