Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Serrão, C. & Ricardo, A. (2013). Comparison of existing open-source tools for Web crawling and indexing of free Music. Journal of Telecommunications. 18 (1), 1-6
Exportar Referência (IEEE) 
C. J. Serrão and A. Ricardo,  "Comparison of existing open-source tools for Web crawling and indexing of free Music", in Journal of Telecommunications, vol. 18, no. 1, pp. 1-6, 2013
Exportar BibTeX 
@article{serrão2013_1775764788875,
	author = "Serrão, C. and Ricardo, A.",
	title = "Comparison of existing open-source tools for Web crawling and indexing of free Music",
	journal = "Journal of Telecommunications",
	year = "2013",
	volume = "18",
	number = "1",
	pages = "1-6",
	url = "https://sites.google.com/site/journaloftelecommunications/volume-18-issue-1-january-2013"
}
Exportar RIS 
TY  - JOUR
TI  - Comparison of existing open-source tools for Web crawling and indexing of free Music
T2  - Journal of Telecommunications
VL  - 18
IS  - 1
AU  - Serrão, C.
AU  - Ricardo, A.
PY  - 2013
SP  - 1-6
SN  - 2042-8839
UR  - https://sites.google.com/site/journaloftelecommunications/volume-18-issue-1-january-2013
AB  - This paper presents a portrait of existing open-source web crawlers tools that also have an indexing component. The goal is to understand what tool is best suited to crawl and index a large collection of music MP3 files freely available in the Internet. In this study each piece of software is briefly described, with an overview, identification of some users, and their main advantages and disadvantages. In order to better understand the most significant differences between the different tools a resume of features like: programming language in which they are written, the platform used for deployment, the type of index used, database integration, front-end capabilities, existence of a plugin system, MP3 and Adobe Flash (SWF files) parsing support, is presented. Finally the tools were classified according to the prospected collection size, being divided into tools to mirror small collections, medium and large collections with software capable of handling large amounts of data. In conclusion, an assessment on which tools are best suited to handle large collections in a distributed way is made.
ER  -