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  1. Proceedings of the twelfth international workshop on Web information and data management (WIDM '12)
  2. Web crawler middleware for search engine digital libraries: a case study for citeseerX
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Search beyond the web: data from social networks and native apps
Modeling topic trends on the social web using temporal signatures
Managing analysis context
Web crawler middleware for search engine digital libraries: a case study for citeseerX
XPath satisfiability with downward and sibling axes is tractable under most of real-world DTDs
Using social tags to infer context in hybrid music recommendation
TitleFinder: extracting the headline of news web pages based on cosine similarity and overlap scoring similarity
A multi-layer data representation of trajectories in social networks based on points of interest
SNOPS: a smart environment for cultural heritage applications
M3D: a tool for the model driven development of web applications
A distributed index for efficient parallel top-k keyword search on massive graphs

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Web crawler middleware for search engine digital libraries: a case study for citeseerX

Content Provider ACM Digital Library
Author Wu, Jian San Pedro Wandelmer, Jose Carman, Stephen Lu, Xin Giles, C. Lee Teregowda, Pradeep Khabsa, Madian Jordan, Douglas Mitra, Prasenjit
Abstract Middleware is an important part of many search engine web crawling processes. We developed a middleware, the Crawl Document Importer (CDI), which selectively imports documents and the associated metadata to the digital library CiteSeerX crawl repository and database. This middleware is designed to be extensible as it provides a universal interface to the crawl database. It is designed to support input from multiple open source crawlers and archival formats, e.g., ARC, WARC. It can also import files downloaded via FTP. To use this middleware for another crawler, the user only needs to write a new log parser which returns a resource object with the standard metadata attributes and tells the middleware how to access downloaded files. When importing documents, users can specify document mime types and obtain text extracted from PDF/postscript documents. The middleware can adaptively identify academic research papers based on document context features. We developed a web user interface where the user can submit importing jobs. The middleware package can also work on supplemental jobs related to the crawl database and respository. Though designed for the CiteSeerX search engine, we feel this design would be appropriate for many search engine web crawling systems.
Starting Page 57
Ending Page 64
Page Count 8
File Format PDF
ISBN 9781450317207
DOI 10.1145/2389936.2389949
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Web crawling Search engine Information retrieval Middleware Ingestion
Content Type Text
Resource Type Article
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