Focused Monolingual Crawler Sample Clauses

Focused Monolingual Crawler. The Focused Monolingual Crawler is a component for acquiring domain-specific corpora in a target language. xxxx://xxxxxxxx.xxxx.org/services/160
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Focused Monolingual Crawler. This section describes the main modules integrated in the FMC. It also documents the use of the corresponding web service. On-line documentation for this web service is also available at xxxx://xxxxxxxx.xxxx.org/services/160. The FMC is a focused/topical crawler that aspires to build domain-specific web collections (Xxx and Xxxx 2005) in a targeted language, by extracting links of already fetched web pages, adding them to the list of pages to be visited and selecting web documents that are relevant to the targeted domain. In order to ensure the crawler's scalability, FMC adopts a distributed computing architecture based on Bixo4, an open source web mining toolkit that runs on top of Hadoop5 (xxxx://xxxxxx.xxxxxx.xxx), a well-known framework for distributed data processing. 1 xxxx://xxx.xxxx.xx/soaplab2-axis/#ilsp.ilsp_fmc_row 2 xxxx://xxx.xxxx.xxx/ 3 xxxx://xxx.xxxx.xx/soaplab2-axis/#ilsp.ilsp_bilingual_crawl_row 4 xxxx://xxxxxxxx.xxx/ 5 xxxx://xxxxxx.xxxxxx.xxx/ In addition, Bixo also depends on the Heritrix6 web crawler and makes use of ideas developed in the Nutch7 web-search software project, two open source frameworks for mining data from the web. The common strategy adopted for a general web crawl is initializing the crawler with a set of seed pages, visiting these pages and extracting the links within them. New web pages are visited following the extracted links and the procedure is repeated until a predefined termination criterion is met. Focused monolingual crawling is an iterative procedure that includes additional steps for content processing (e.g. text to topic classification) of visited web pages. A typical workflow for acquiring monolingual domain-specific data is illustrated in Figure 1.
Focused Monolingual Crawler. The FMC is the first module in the PANACEA pipeline for building LRs by crawling web documents with rich textual content. Its purpose is to adapt an efficient and distributed web crawling methodology that will collect web pages with content belonging to specific languages and predefined domains. The common strategy adopted by a general web crawler is to initialize the crawler by the seed pages, visit these pages and extract the links within them. Then new web pages are visited following the extracted links and so on. In focused crawling, a text to topic classifier is included in order to classify each page as relevant to the domain or not.

Related to Focused Monolingual Crawler

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