Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Node of Knowledge"'
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 6, Pp 2088-2093 (2021)
The "Node of Knowledge" method is one of the elements of the conceptual framework "Node of Knowledge (NOK)". It enables knowledge representation in graphical and formalized (textual) form and makes it possible to store formalized records of natural l
Externí odkaz:
https://doaj.org/article/684de3e80a46459ca8725dd64c9f437b
Publikováno v:
Zbornik Veleučilišta u Rijeci
Volume 10
Issue 1
Volume 10
Issue 1
The paper describes the improvement of the system for automatic question answering based on the knowledge expressed in natural language sentences. The system is implemented using a relational database. This system will be the basis for the developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22db932954c11aec9283b99e3eb42480
https://doi.org/10.31784/zvr.10.1.4
https://doi.org/10.31784/zvr.10.1.4
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 6, Pp 2088-2093 (2021)
Tehnički vjesnik
Volume 28
Issue 6
Tehnički vjesnik
Volume 28
Issue 6
The "Node of Knowledge" method is one of the elements of the conceptual framework "Node of Knowledge (NOK)". It enables knowledge representation in graphical and formalized (textual) form and makes it possible to store formalized records of natural l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2cd21f92c003751faf715fc1beeb404
https://hrcak.srce.hr/file/385029
https://hrcak.srce.hr/file/385029
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030123871
The Node of Knowledge (NOK) method is a method for knowledge representation. It is used as a basis for development of formalism for textual knowledge representation (FNOK). FNOK was used for development of a Question Answering (QA) System whose resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1fb79b7dbbc054767663523951f83db
https://doi.org/10.1007/978-3-030-12388-8_69
https://doi.org/10.1007/978-3-030-12388-8_69
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
MIPRO
The paper analyzes the semantics of verbs in sentences in Croatian and English language. It gives a representation of different verb tenses in both languages and shows how the sentences containing these tenses are modeled using the Node of Knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a331e2465d0479a29806eb80b1419f1f
https://doi.org/10.23919/mipro.2018.8400187
https://doi.org/10.23919/mipro.2018.8400187
Autor:
Ašenbrener Katić, Martina
Postojeći informacijski sustavi i njihove pripadne baze podataka ne mogu prihvatiti znanja zapisana u rečenicama prirodnog jezika. Na osnovi konceptualnog okvira "Node of Knowledge (NOK)", analizira se i modelira novi sustav temeljen na NOK metodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4016::ffaf34564122748fa4fade3b5c096724
https://urn.nsk.hr/urn:nbn:hr:195:390832
https://urn.nsk.hr/urn:nbn:hr:195:390832
Publikováno v:
Procedia Engineering. 100:1075-1081
This paper presents research results on transformation of database structure and its content into new representation by using the Node of knowledge method (NOK method). It describes the way an Entity-relationship model and its relational database can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9560c1082f4da0226f43add2cfba4391
Publikováno v:
MIPRO
The paper analyzes the semantics of adjectives in sentences in English language. The goal is, based on the analysis of individual sentences and the method of induction, to show the semantic relationship between the adjective and other word types by u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ffe2265f4a2858198a408957bca9d55
https://doi.org/10.23919/mipro.2017.7973610
https://doi.org/10.23919/mipro.2017.7973610