Morisio, Maurizio's Books

Practical Software Reuse

By: Michel Ezran,Maurizio Morisio,Colin Tully

Write a review Read reviews Take a Quiz Solve Book Puzzle

Practical Software Reuse

By: Michel Ezran,Maurizio Morisio,Colin Tully

Software reuse promises high value to businesses that develop software, opening the door to radical improvements in productivity, cost, and time to market. This book is for those who are wondering whether they should adopt reuse and how, and also for those who have already started to adopt it but are wondering where they may be going wrong and how they could do better. It emphasizes the practical issues that influence success or failure in reuse; and offers a concise and balanced coverage of the essentials.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

239

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447101413

ISBN 13

9781447101413

Recommender System based on linked Data

By: Figueroa, Cristhian,Corrales, Juan Carlos,Morisio, Maurizio

Write a review Read reviews Take a Quiz Solve Book Puzzle

Recommender System based on linked Data

By: Figueroa, Cristhian,Corrales, Juan Carlos,Morisio, Maurizio

Linked Data principles have led to semantically interlink and connect different resourcesat data level regardless the structure, authoring, location etc. Data available on the Web using Linked Data has resulted in a global data space called the Web of Data. Moreover, thanks to the efforts of the scientific community and the W3C Linked Open Data (LOD) project, more and more data have been published on the Web of Data, helping its growth and evolution. This book studies Recommender Systems that use LInked Data as a source for generating recommendations exploiting the large amount of available resources and the relationships between them. Firts, a comprehensive state of the art is preseted in order to indetify and study frameworks and algorithms for RS that rely on Linked Data. Second a framework named AlLied taht makes available implementations of the most used algortihms for resource recommendation based on Linked Data is described. This framework is inteded to use and test the recommendation algorithms in various domains and contexts, and to analyze their behavior under different conditions. Accordingly the framework is suitable to compare the results of these algorithms both in performance and relevance, and to enable the development of innovative applications on top of it.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

186

Publisher

Editorial Universidad del Cauca

Published Date

ISBN 10

9587323815

ISBN 13

9789587323818

Practical Software Reuse

By: Michel Ezran,Maurizio Morisio,Colin Tully

Write a review Read reviews Take a Quiz Solve Book Puzzle

Practical Software Reuse

By: Michel Ezran,Maurizio Morisio,Colin Tully

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

239

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447101413

ISBN 13

9781447101413

Book's by Morisio, Maurizio

Practical Software Reuse

Practical Software Reuse

Recommender System based on linked Data

Recommender System based on linked Data

Practical Software Reuse

Practical Software Reuse

Username

Password

Username

Password

Password again

Birthday

Email