Advances in Knowledge Representation
Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to vario...
Wedi'i Gadw mewn:
| Fformat: | Online |
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| Iaith: | Saesneg |
| Cyhoeddwyd: |
IntechOpen
2021
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20210420_9789535105978_1432 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869520791057465344 |
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| collection | Directory of Open Access Books |
| description | Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography. It is a valuable contribution to the advancement of the field. The expected readers are advanced students and researchers on the knowledge representation field and related areas; it may also help to computer oriented practitioners of diverse fields looking for ideas on how to develop a knowledge-based application. |
| format | Online |
| id | doab-20.500.12854ir-66074 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-660742024-04-14T10:28:19Z Advances in Knowledge Representation Ramírez Gutiérrez, Carlos Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography. It is a valuable contribution to the advancement of the field. The expected readers are advanced students and researchers on the knowledge representation field and related areas; it may also help to computer oriented practitioners of diverse fields looking for ideas on how to develop a knowledge-based application. 2021-04-20T15:33:27Z 2021-04-20T15:33:27Z 2012 book ONIX_20210420_9789535105978_1432 9789535105978 9789535156345 https://directory.doabooks.org/handle/20.500.12854/66074 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/1932/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/2351 10.5772/2351 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535105978 9789535156345 IntechOpen 286 open access |
| spellingShingle | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Advances in Knowledge Representation |
| title | Advances in Knowledge Representation |
| title_full | Advances in Knowledge Representation |
| title_fullStr | Advances in Knowledge Representation |
| title_full_unstemmed | Advances in Knowledge Representation |
| title_short | Advances in Knowledge Representation |
| title_sort | advances in knowledge representation |
| topic | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20210420_9789535105978_1432 |