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FEDERE ARAMA KAVRAMI DOK 422 Bilgi Ağları (Bahar 2006) Yaşar Tonta H.Ü. BBY 3.-14. slaytlar için kaynak: Su-Shing Chen, Indexing Mathematical Abstracts by Metadata and Ontology IMA Workshop, April 26-27, 2004, http://www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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FEDERE ARAMA KAVRAMI. DOK 422 Bilgi Ağları (Bahar 2006) Yaşar Tonta H.Ü. BBY. 3.-14. slaytlar için kaynak: Su-Shing Chen , Indexing Mathematical Abstracts by Metadata and Ontology IMA Workshop, April 26-27, 2004 , http://www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt . - PowerPoint PPT Presentation

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Page 1: FEDERE ARAMA KAVRAMI

FEDERE ARAMA KAVRAMI

DOK 422 Bilgi Ağları (Bahar 2006)Yaşar Tonta

H.Ü. BBY

3.-14. slaytlar için kaynak: Su-Shing Chen, Indexing Mathematical Abstracts by Metadata and OntologyIMA Workshop, April 26-27, 2004, http://www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

Page 2: FEDERE ARAMA KAVRAMI

Federe Arama

• Farklı metadata uygulamaları, derme geliştirme politikaları, belge türleri, erişim algoritmaları vs. olan veri tabanları/havuzları üzerinde ortak arama yapılması

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DL Server

Data Provider

OAI_DC

Data Provider

OAI_XXX

ServiceProvider

ServiceProvider

Data Mining

Federated Search

Harvester

Harvest API

A DL Server with OAI Extensions:

Managing the Metadata Complexity

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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DigestedMetadata

DigestedMetadata

HarvestedMetadata

HarvestedMetadata

Service Providers’Data

Service Providers’Data

HarvesterHarvester DataProvider

DataProvider

ServiceProvider 1

ServiceProvider 1

ServiceProvider N

ServiceProvider N

Java DataBase Connectivity (JDBC)Java DataBase Connectivity (JDBC)

Server

UserUser DataProvider

DataProvider

ServiceProvider

ServiceProvider

Internet

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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A DL Server with OAI Extensions: Managing the Metadata Complexity

Built in capabilities:• Harvester – harvest various OAI compliant

data providers• Data provider – expose harvested and

existing metadata sets• Service provider – federated search and

data mining capabilities on metadata sets

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Harvester

DL Server

Harvester

Harvester Interface:

• URL to harvest• Selective harvesting parameters

Harvest API

parametersharvest

harvest

Data Providers

Harvested metadata

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

Page 7: FEDERE ARAMA KAVRAMI

Harvester Interface

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Harvester Interface

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

Page 9: FEDERE ARAMA KAVRAMI

Data Provider

• Expose single or combined metadata sets harvested to other harvesters

• Reformat metadata from different data providers to be harvested by other service providers (e.g., originally Dublin Core, reformat to MARC before exposing)

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

Page 10: FEDERE ARAMA KAVRAMI

Service Provider: Federated Search

• Emulating a federated search service on existing and combined harvested metadata sets

• Federated search across potentially other

search protocols

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Federated Search

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Federated Search

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Federated Search

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Service Provider: Data Mining

• Knowledge discovery on harvested metadata sets

• Metadata classification using the Self-Organizing Map (SOM) algorithm

• Improving retrieval effectiveness by providing concept browsing and search services

Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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Henüz sonuç yok.

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NDLTD

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