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Effective Web Searching

Effective Web Searching

Effective Web Searching. Dr. I.R.N. Goudar Visiting Professor-cum- Library Adviser University of Mysore Refresher Course UGC- Academic Staff College University of Mysore. Organization of the Web. Web is the totality of web pages stored on web servers

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741 views • 53 slides
Oracle Asia Pacific OpenWorld Singapore - March 10 - 12, 1999

Oracle Asia Pacific OpenWorld Singapore - March 10 - 12, 1999

Oracle Asia Pacific OpenWorld Singapore - March 10 - 12, 1999. How Internet Changes Knowledge Management? Lakshmana Pillai A. lpillai@sg.oracle.com Manager, Design & Migration Services Oracle Asia Pacific Division, Singapore. Knowledge. What is the Most Valuable Natural Resource?.

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347 views • 34 slides
Module 6 Designing a Strategy for Database Access

Module 6 Designing a Strategy for Database Access

Module 6 Designing a Strategy for Database Access. Module Overview. Guidelines for Designing Secure Data Access Designing Views Designing Stored Procedures Designing User-Defined Functions. Lesson 1: Guidelines for Designing Secure Data Access.

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401 views • 25 slides
DB2 Net Search Extender

DB2 Net Search Extender

DB2 Net Search Extender. Presenter: Sudeshna Banerji (CIS 595: Bioinformatics). Topics to discuss: Information retrieval Text-indexing DB2 Text Extenders DB2 Net Search Extender References Questions. A Little Background…. Information Retrieval(IR):

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342 views • 21 slides
Text

Text

Text. Text is data too!. Overview. Numbers are fairly 'easy' since you already know: What they are. For example, which of the following are numbers? Solo 35 Luke Skywalker True How they can be processed. For example, which of the following is a valid number-processing operation? AND *

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303 views • 18 slides
Indexing Semistructured Data

Indexing Semistructured Data

Indexing Semistructured Data. J. McHugh, J. Widom, S. Abiteboul, Q. Luo, and A. Rajaraman Stanford University January 1998 http://www-db.stanford.edu/lore/. EECS 684 02/21/2000 Presented by Weiming Zhou . Outline. Introduction - Data Model - Query Language

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266 views • 15 slides
Participation

Participation

Participation. Monolingual vs Bilingual English. Bilingual 76% wrt Monolingual. Monolingual vs BilingualGerman. Bilingual 86% wrt Monolingual. Monolingual vs Bilingual Portuguese. Bilingual 90% wrt Monolingual. Approaches. XLDB (2 nd monolingual Portuguese)

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239 views • 11 slides
Rencontres TEI Council Lyon 2009

Rencontres TEI Council Lyon 2009

Rencontres TEI Council Lyon 2009. Serge Heiden ICAR Laboratory / Lyon University slh@ens-lsh.fr. Council, ENS-LSH, Lyon (France), 1 April 2009. Context (1/2). Project objective (2007-2009) : To develop an open-source software platform for Textometry analysis of textual data Partners :

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168 views • 6 slides

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