'Meta search' diaporamas de présentation

How to Build a Search Engine

How to Build a Search Engine. ????????????? ???? Kung-Ming Fung ? kmfung@doubleservice.com 2008/04/01. Outline. Introduction Different Kinds of Search Engine Architecture Robot, Spider, Crawler HTML and HTTP Indexing Keyword Search Evaluation Criteria Related Work Discussion

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Federated Searching

Federated Searching. In a Nutshell 21 st Century Literacies 18 November 2005. Federated Searching. Rex Krajewski Reference Services Librarian Simmons College web.simmons.edu/~krajewsk/library/federatedsearching.html. What is Federated Searching?.

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Tamas Doszkocs, Ph.D. Computer Scientist doszkocs@nlm.nih

Meta Searching and Clustering. Tamas Doszkocs, Ph.D. Computer Scientist doszkocs@nlm.nih.gov. What has been will be again, what has been done will be done again, there is nothing new under the sun. (Ecclesiastes 1:9-14 NIV). A Brief History Clustering MetaSearching Metadata and Semantics

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Find Articles

Find Articles. David Lindahl Web Initiatives Manager River Campus Libraries University of Rochester. Usability Issues. Choosing a database Using a database Expectations OPAC versus database Terminology. Expectation.

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Improving the Sensitivity of Peptide Identification

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The Best of Both Worlds or the End of the World as We Know It?

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Artificial Intelligence Research Center

Program Systems Institute, RAS. Artificial Intelligence Research Center. Pereslavl-Zalessky , Russia. Lines of research. Knowledge-based Dynamic Systems Computer Linguistics: Information Extraction, Information Retrieval, Text Categorization Image Analysis of Data Nested Petri N ets.

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Google vs. Copernic

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Topical Crawlers for Building Digital Library Collections

Topical Crawlers for Building Digital Library Collections. Presenter: Qiaozhu Mei. 1. J.Qin et al. Building Domain Specific Web Collections for Scientific Digital Libraries: A Meta-Search Enhanced Focused Crawling Method

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Chapter 6

Chapter 6. Search Engines and Portals. Agenda. Search engines Intelligent network agents Portals Discussion. Search Engines. Online service Program Usage Add information Improving search position Type. Online service. Crawlers (World Wide Worm): database with web contents

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The Global Registries Initiative: Progress Report and Software Demonstration

The Global Registries Initiative: Progress Report and Software Demonstration. Chris Blackall , Australian National Data Service Jeremy Frumkin , University of Arizona Vic Lyte , University of Manchester. Who.

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The Global Registries Initiative: Progress Report and Software Demonstration

The Global Registries Initiative: Progress Report and Software Demonstration. Chris Blackall , Australian National Data Service Jeremy Frumkin , University of Arizona Vic Lyte , University of Manchester. Who.

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Hotbot

Hotbot.com. By Bishop D. Gatsi. What is Hotbot.com?. Meta search engine launched in May 1996 . Searches the web using Yahoo, lyGo and MSN. For Advanced Search powered by Yahoo Go to:. Advertising Opportunities:. Need Help? .

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GeoSearch

CSCI 572 Information Retrieval and Web Search Engine Spring 2011 Guided By:- Professor Ellis Horowitz Kaijian Xu. GeoSearch. By: Raihan Jamal Ameya Patil Shubham Nigam. Project Description.

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Automatic Resource Detection

Automatic Resource Detection. Enabling Wrappers to Crawl the Web for Bioinformatics Searching Sites. Wrapper Technology. As the Web grows, and forms become more prevalent, inputting queries in each site becomes too time consuming

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For five columns, line up guides with these boxes

Georgetown University. Peptide Atlas A8_IP LTQ MS/MS Dataset Tryptic search of Human ESTs using PepSeqDB [2] 107084 spectra searched ~ 26 times: - Target + 2 decoys, 5 engines, 1+ vs 2+/3+ charge. 8685 search jobs, 25.7 days of total CPU time. 5211 TeraGrid TKO jobs in < 2 hours (143 nodes)

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For five columns, line up guides with these boxes

Georgetown University. Improving the Sensitivity of Peptide Identification from Tandem Mass Spectra using Meta-Search, Grid-Computing, and Machine-Learning. Nathan J. Edwards, Georgetown University Medical Center. Annual Meeting, 2009. Introduction.

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Improving the Sensitivity of Peptide Identification With Meta-Search and Machine Learning

Georgetown University. D 1. D 2. D 3. D 4. I 0. I 1. I 2. I 4. I 3. Begin. b 1. y 1. b 2. y 2. End. Improving the Sensitivity of Peptide Identification With Meta-Search and Machine Learning. Nathan J. Edwards 1 , Xue Wu 2 , Chau-Wen Tseng 2.

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Introduction

Georgetown University. OMICS 17 Protein Mix LCQ MS/MS Dataset Semi-tryptic search of SwissProt 39408 spectra searched ~ 36 times: - Target + 2 decoys, 7 engines, 1+ vs 2+/3+ charge. 3969 search jobs, weeks of CPU time. Total elapsed time (Mascot bottleneck): < 28 hours.

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