SEMANTIC WEB QUERY OPTIMIZATION: methods to increase the efficiency and to reduce the computation time
Language: English
Published by LAP LAMBERT Academic Publishing, 2021
- Softcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
4-star seller
AbeBooks seller since September 10, 2024
Softcover
Condition: New
US$ 80.48
US$ 11.10 shipping
Ships from Germany to U.S.A.
Quantity: 4 available
Add to basketFree 30-day returns
Item description from seller
PRINT ON DEMAND.
Seller Inventory # 18395134160
- Title
- SEMANTIC WEB QUERY OPTIMIZATION: methods to increase the efficiency and to reduce the computation time
- Author
- Thottupurathu Jose, Rubin; Poulose, Sojan Lal
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 620346192X
- ISBN 13
- 9786203461923
The semantic web is similar to the normal web with the structured format and hence the machine learning techniques can easily process the data. Standard format to represent the semantic web data is Resource Description Framework (RDF). In this, the query is structured as SPARQL Protocol and RDF Query Language (SPARQL) to process the data. Various methods have been applied in the semantic web to increase the efficiency and to reduce the computation time. This book gives an in-depth analysis on meta-heuristic algorithms applied for the same.
"Synopsis" may belong to another edition of this title.
Biblios
frankfurt am main, hessen, Germany
4-star seller
AbeBooks seller since September 10, 2024
Shipping rates from Germany to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 11.10 | US$ 20.86 |
Payment methods
Store description
We carry a wide selection of books from South Asia, United States, UK.
Specialty
new books imported from india, uk, usaSeller's business information
Readingos GmbH
Kaiserstraße 47
Frankfurt am Main, Germany 60329
Shipping terms
To ensure faster delivery, books may be shipped from any of the following locations Germany, the United Kingdom (UK), the United States (US), based on the buyer's address and product availability.