federe arama kavrami
DESCRIPTION
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 PresentationTRANSCRIPT
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
Federe Arama
• Farklı metadata uygulamaları, derme geliştirme politikaları, belge türleri, erişim algoritmaları vs. olan veri tabanları/havuzları üzerinde ortak arama yapılması
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
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
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
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
Harvester Interface
Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt
Harvester Interface
Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt
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
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
Federated Search
Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt
Federated Search
Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt
Federated Search
Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt
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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