e-Business Architecture with Enterprise Search Engine

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e-Business Architecture with Enterprise Search
Engine

• KOCSEA 2008
• Jongwook Woo, PhD
• jwoo5_at_calstatela.edu
• High-Performance Internet Computing Center
• Computer Information Systems Department
• California State University, Los Angeles

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Abstract

• e-Business architecture has been updated
  dramatically for the past 10 years. The
  architecture moved from the traditional
  client-server architecture to n-tier architecture
  since Internet and Web came out to the world.
  Internet and web even create new product and
  revenue as companies have invested in Information
  Technology seriously not as an option. Content is
  one of the examples in this new era. Content has
  become intellectual property and a company or
  organization that has content can make profit by
  providing the content to the customers and the
  users. As the content increases high, there is a
  need for search engine in order to provide the
  proper content to the user quickly. Thus, search
  engine has received highlight in the content
  industry, mostly portal sites. The paper
  introduces search engine - especially internal
  search engine not web search engine - and its
  fundamentals. Then, e-Business architecture with
  search engine is illustrated.

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Search Engine

• Information retrieval system
• Help users find what they need
• In Internet or Intranet
• Minimize time required to find information
• search engines
• Web search engine
• Enterprise search engine
• Ex Apache Lucene, Solr, FAST

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Search Engine Basics

• Indexing
• Querying
• Ranking
• Lemmatization and Phrase search
• Geo search
• Search Navigation

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Querying

• Basic of all search engine
• The user uses query to search
• With search terms AND, OR, NOT, NEAR
• The process of specify criteria about an item on
  interest and have the engine find the matching
  items.
• Syntax of querying
• Formalized
• Natural Language Search

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Indexing

• How data is collected and stored
• then retrieve once a user do a search.
• Optimize the speed and performance of finding
  relevant documents.
• Need to determine ranking by Relevance and
  similarity
• Determines the order in which it is presented to
  the user

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Lemmatized/Phrase Search

• Lemmatized
• A search which allows the user to enter a lemma
  and return the inflected forms
• Ex hamburger vs hamburgers
• Phrase
• A query that matches documents containing a
  particular sequence of terms.
• Ex The Great Wall

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Others

• Geo-search
• Parse text and identify the coordinates of the
  geographic entities mentioned in the query
• Ex East Palo Alto CA -gt Latitude 37.47 N,
  Longitude 122.14 W
• Facet Browsing
• Search result can be categorized
• and displays the counts of each search results
  categorized

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Local (Enterprise) Search

• Used by corporation to search in their own
  intranets to retrieve information.
• Either used in public or not
• Portal sites provides and sells contents
• Contents is digital info
• text, multimedia data etc
• Ex citysearch.com, insiderpages.com,
  superpages.com etc

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Web Search

• Used to search the World Wide Web
• Ex
• www.Google.com
• www.msn.com
• www.Yahoo.com
• Probably no more market to compete with these
  dinosaurs

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Legacy N-Tier Architecture

• Presentation Logic
• Only for the user
• Business Logic
• Data Access Logic
• Normally DB
• Search query communicates with DB

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N-Tier Web Architecture
DB Server
The user searches the site
DB Access Library
Business Logic
Presentation Logic
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Latest N-Tier Architecture

• Presentation Logic
• Both for the user and the author
• Business Logic
• Data Access Logic
• Both for DB
• Search Access Logic
• Connects Search Engine that search query
  communicates with

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N-Tier Web Architecture with Enterprise Search
Engine
Search Engine
DB Server
Search DB
Load/index DB to Search DB
The user searches the site
Search Access Library
DB Access Library
Business Logic
Presentation Logic
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Summary

• Search Engine should not be optional for Internet
  Business
• Enterprise Search has been popular by providing
  contents to the user and the third parties
• as contents are product
• Dont need to compete with Web Search Business
  such as Google, Yahoo, MSN etc