Description Logics in Multimedia Reasoning
Mentés helye:
| Szerző: | |
|---|---|
| Testületi szerző: | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Cham : Springer International Publishing,
2017
|
| Tárgyszavak: | |
| Online elérés: | https://doi.org/10.1007/978-3-319-54066-5 |
| Címkék: |
Új címke
A tételhez itt fűzhet saját címkét!
|
| id |
opac-EUL01-000955634 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Sikos, Leslie F. EUL10001011312 Y Description Logics in Multimedia Reasoning by Leslie F. Sikos. Cham Springer International Publishing 2017 XIII, 205 p. ill. szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Multimedia Semantics -- Knowledge Representation with Semantic Web Standards -- The Semantic Gap -- Description Logics: Formal Foundation for Web Ontology -- Multimedia Ontology Engineering -- Ontology-Based Multimedia Reasoning -- References -- Index. This book illustrates how to use description logic-based formalisms to their full potential in the creation, indexing, and reuse of multimedia semantics. To do so, it introduces researchers to multimedia semantics by providing an in-depth review of state-of-the-art standards, technologies, ontologies, and software tools. It draws attention to the importance of formal grounding in the knowledge representation of multimedia objects, the potential of multimedia reasoning in intelligent multimedia applications, and presents both theoretical discussions and best practices in multimedia ontology engineering. Readers already familiar with mathematical logic, Internet, and multimedia fundamentals will learn to develop formally grounded multimedia ontologies, and map concept definitions to high-level descriptors. The core reasoning tasks, reasoning algorithms, and industry-leading reasoners are presented, while scene interpretation via reasoning is also demonstrated. Overall, this book offers readers an essential introduction to the formal grounding of web ontologies, as well as a comprehensive collection and review of description logics (DLs) from the perspectives of expressivity and reasoning complexity. It covers best practices for developing multimedia ontologies with formal grounding to guarantee decidability and obtain the desired level of expressivity while maximizing the reasoning potential. The capabilities of such multimedia ontologies are demonstrated by DL implementations with an emphasis on multimedia reasoning applications. Nyomtatott kiadás: ISBN 9783319540658 Nyomtatott kiadás: ISBN 9783319540672 Nyomtatott kiadás: ISBN 9783319853086 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book mesterséges intelligencia EUL10000021058 Y számítógépes látás informatika EUL10000467497 Y Artificial intelligence. EUL10000183324 Y számítási bonyolultság EUL10000906114 Y Computer science. EUL10000449227 Y Computer vision. EUL10000467498 Y Computational complexity. EUL10000488941 Y Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Mathematical Logic and Formal Languages. http://scigraph.springernature.com/things/product-market-codes/I16048 Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021 Discrete Mathematics in Computer Science. http://scigraph.springernature.com/things/product-market-codes/I17028 Mathematical Applications in Computer Science. http://scigraph.springernature.com/things/product-market-codes/M13110 elektronikus könyv SpringerLink (Online service) közreadó testület Online változat https://doi.org/10.1007/978-3-319-54066-5 Cham Springer International Publishing Imprint: Springer 2017. EUL01 |
| language |
English |
| format |
Book |
| author |
Sikos, Leslie F. |
| spellingShingle |
Sikos, Leslie F. Description Logics in Multimedia Reasoning mesterséges intelligencia számítógépes látás -- informatika Artificial intelligence. számítási bonyolultság Computer science. Computer vision. Computational complexity. Artificial Intelligence. Mathematical Logic and Formal Languages. Image Processing and Computer Vision. Discrete Mathematics in Computer Science. Mathematical Applications in Computer Science. elektronikus könyv |
| author_facet |
Sikos, Leslie F. SpringerLink (Online service), közreadó testület |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Sikos, Leslie F. |
| title |
Description Logics in Multimedia Reasoning |
| title_short |
Description Logics in Multimedia Reasoning |
| title_full |
Description Logics in Multimedia Reasoning by Leslie F. Sikos. |
| title_fullStr |
Description Logics in Multimedia Reasoning by Leslie F. Sikos. |
| title_full_unstemmed |
Description Logics in Multimedia Reasoning by Leslie F. Sikos. |
| title_auth |
Description Logics in Multimedia Reasoning |
| title_sort |
description logics in multimedia reasoning |
| publishDate |
2017 |
| publishDateSort |
2017 |
| physical |
XIII, 205 p. : ill. |
| isbn |
978-3-319-54066-5 |
| callnumber-raw |
13482 |
| callnumber-search |
13482 |
| topic |
mesterséges intelligencia számítógépes látás -- informatika Artificial intelligence. számítási bonyolultság Computer science. Computer vision. Computational complexity. Artificial Intelligence. Mathematical Logic and Formal Languages. Image Processing and Computer Vision. Discrete Mathematics in Computer Science. Mathematical Applications in Computer Science. elektronikus könyv |
| topic_facet |
mesterséges intelligencia számítógépes látás -- informatika Artificial intelligence. számítási bonyolultság Computer science. Computer vision. Computational complexity. Artificial Intelligence. Mathematical Logic and Formal Languages. Image Processing and Computer Vision. Discrete Mathematics in Computer Science. Mathematical Applications in Computer Science. elektronikus könyv mesterséges intelligencia számítógépes látás Artificial intelligence. számítási bonyolultság Computer science. Computer vision. Computational complexity. Artificial Intelligence. Mathematical Logic and Formal Languages. Image Processing and Computer Vision. Discrete Mathematics in Computer Science. Mathematical Applications in Computer Science. informatika |
| url |
https://doi.org/10.1007/978-3-319-54066-5 |
| illustrated |
Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
006 - Special computer methods |
| dewey-full |
006.3 |
| dewey-sort |
16.3 |
| dewey-raw |
006.3 |
| dewey-search |
006.3 |
| first_indexed |
2023-12-27T00:19:53Z |
| last_indexed |
2023-12-29T19:21:31Z |
| recordtype |
opac |
| publisher |
Cham : Springer International Publishing |
| _version_ |
1786641479990509568 |
| score |
13,365033 |
| generalnotes |
This book illustrates how to use description logic-based formalisms to their full potential in the creation, indexing, and reuse of multimedia semantics. To do so, it introduces researchers to multimedia semantics by providing an in-depth review of state-of-the-art standards, technologies, ontologies, and software tools. It draws attention to the importance of formal grounding in the knowledge representation of multimedia objects, the potential of multimedia reasoning in intelligent multimedia applications, and presents both theoretical discussions and best practices in multimedia ontology engineering. Readers already familiar with mathematical logic, Internet, and multimedia fundamentals will learn to develop formally grounded multimedia ontologies, and map concept definitions to high-level descriptors. The core reasoning tasks, reasoning algorithms, and industry-leading reasoners are presented, while scene interpretation via reasoning is also demonstrated. Overall, this book offers readers an essential introduction to the formal grounding of web ontologies, as well as a comprehensive collection and review of description logics (DLs) from the perspectives of expressivity and reasoning complexity. It covers best practices for developing multimedia ontologies with formal grounding to guarantee decidability and obtain the desired level of expressivity while maximizing the reasoning potential. The capabilities of such multimedia ontologies are demonstrated by DL implementations with an emphasis on multimedia reasoning applications. |