1 / 33

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 Ontology IMA Workshop, April 26-27, 2004 , http://www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt .

ellery
Download Presentation

FEDERE ARAMA KAVRAMI

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 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

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

  3. Harvest API Harvester OAI_DC Data Mining Data Provider Service Provider DL Server Data Provider Service Provider OAI_XXX Federated Search A DL Server with OAI Extensions: Managing the Metadata Complexity Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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

  5. 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

  6. Harvest API Data Providers • Harvester Interface: • URL to harvest • Selective harvesting • parameters harvest Harvester parameters harvest Harvested metadata … DL Server Harvester Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

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

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

  9. 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

  10. 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

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

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

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

  14. 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

  15. Henüz sonuç yok.

  16. NDLTD

More Related