1,911 research outputs found
iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling
Researchers in the Digital Humanities and journalists need to monitor,
collect and analyze fresh online content regarding current events such as the
Ebola outbreak or the Ukraine crisis on demand. However, existing focused
crawling approaches only consider topical aspects while ignoring temporal
aspects and therefore cannot achieve thematically coherent and fresh Web
collections. Especially Social Media provide a rich source of fresh content,
which is not used by state-of-the-art focused crawlers. In this paper we
address the issues of enabling the collection of fresh and relevant Web and
Social Web content for a topic of interest through seamless integration of Web
and Social Media in a novel integrated focused crawler. The crawler collects
Web and Social Media content in a single system and exploits the stream of
fresh Social Media content for guiding the crawler.Comment: Published in the Proceedings of the 15th ACM/IEEE-CS Joint Conference
on Digital Libraries 201
A Brief History of Web Crawlers
Web crawlers visit internet applications, collect data, and learn about new
web pages from visited pages. Web crawlers have a long and interesting history.
Early web crawlers collected statistics about the web. In addition to
collecting statistics about the web and indexing the applications for search
engines, modern crawlers can be used to perform accessibility and vulnerability
checks on the application. Quick expansion of the web, and the complexity added
to web applications have made the process of crawling a very challenging one.
Throughout the history of web crawling many researchers and industrial groups
addressed different issues and challenges that web crawlers face. Different
solutions have been proposed to reduce the time and cost of crawling.
Performing an exhaustive crawl is a challenging question. Additionally
capturing the model of a modern web application and extracting data from it
automatically is another open question. What follows is a brief history of
different technique and algorithms used from the early days of crawling up to
the recent days. We introduce criteria to evaluate the relative performance of
web crawlers. Based on these criteria we plot the evolution of web crawlers and
compare their performanc
A Novel Framework for Context Based Distributed Focused Crawler (CBDFC)
Focused crawling aims to search only the relevant subset of the WWW for a specific topic of user interest; leading to the necessity to decide about the relevancy of a document to the topic of interest; especially when the user is not perfect in specifying the exact context of the topic. This paper provides a novel framework of a context based distributed focused crawler that maintains an index of web documents pertaining to the context of keywords resulting in storage of more related documents
A Conceptual Framework for Efficient Web Crawling in Virtual Integration Contexts
Virtual Integration systems require a crawling tool able to
navigate and reach relevant pages in the Web in an efficient way. Existing
proposals in the crawling area are aware of the efficiency problem,
but still most of them need to download pages in order to classify them
as relevant or not. In this paper, we present a conceptual framework for
designing crawlers supported by a web page classifier that relies solely
on URLs to determine page relevance. Such a crawler is able to choose
in each step only the URLs that lead to relevant pages, and therefore
reduces the number of unnecessary pages downloaded, optimising bandwidth
and making it efficient and suitable for virtual integration systems.
Our preliminary experiments show that such a classifier is able to distinguish
between links leading to different kinds of pages, without previous
intervention from the user.Ministerio de Educación y Ciencia TIN2007-64119Junta de Andalucía P07-TIC-2602Junta de Andalucía P08- TIC-4100Ministerio de Ciencia e Innovación TIN2008-04718-EMinisterio de Ciencia e Innovación TIN2010-21744Ministerio de Economía, Industria y Competitividad TIN2010-09809-EMinisterio de Ciencia e Innovación TIN2010-10811-EMinisterio de Ciencia e Innovación TIN2010-09988-
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