東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Methodological Guidance for Engineering Knowledge Representation Using Semantic Web Technologies.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Methodological Guidance for Engineering Knowledge Representation Using Semantic Web Technologies./
作者:	Dunbar, Daniel.
面頁冊數:	1 online resource (38 pages)
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28496220click for full text (PQDT)
ISBN:	9798534672473

Methodological Guidance for Engineering Knowledge Representation Using Semantic Web Technologies.
Dunbar, Daniel.

Methodological Guidance for Engineering Knowledge Representation Using Semantic Web Technologies. - 1 online resource (38 pages)

Source: Masters Abstracts International, Volume: 83-02.

Thesis (Master's)--Stevens Institute of Technology, 2021.

Includes bibliographical references

This paper describes a methodological approach that uses semantic technologies to integrate modeling data and associated information across domains into a centralized data store, enabling automated reasoning, connection of data despite disparate sources, and tool interoperability without the requirement of extensive tool-to-tool services. The methodology and the associated implementation use ontologies as a means for knowledge representation and take advantage of semantic technologies, which have been demonstrated to be tool agnostic, extensible, and capable of automated reasoning and AI-based applications, such as Digital Assistants.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798534672473Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Digital engineeringIndex Terms--Genre/Form:

542853
Electronic books.

Methodological Guidance for Engineering Knowledge Representation Using Semantic Web Technologies.
LDR:02069nmm a2200421K 4500 001 2358062
005 20230725094939.5
006 m o d
007 cr mn ---uuuuu
008 241011s2021 xx obm 000 0 eng d
020 $a 9798534672473
035 $a (MiAaPQ)AAI28496220
035 $a AAI28496220
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Dunbar, Daniel. $3 3698593
245 1 0 $a Methodological Guidance for Engineering Knowledge Representation Using Semantic Web Technologies.
264 0 $c 2021
300 $a 1 online resource (38 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Blackburn, Mark.
502 $a Thesis (Master's)--Stevens Institute of Technology, 2021.
504 $a Includes bibliographical references
520 $a This paper describes a methodological approach that uses semantic technologies to integrate modeling data and associated information across domains into a centralized data store, enabling automated reasoning, connection of data despite disparate sources, and tool interoperability without the requirement of extensive tool-to-tool services. The methodology and the associated implementation use ontologies as a means for knowledge representation and take advantage of semantic technologies, which have been demonstrated to be tool agnostic, extensible, and capable of automated reasoning and AI-based applications, such as Digital Assistants.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Engineering. $3 586835
650 4 $a Systems science. $3 3168411
650 4 $a Computer science. $3 523869
650 4 $a Information science. $3 554358
650 4 $a Language. $3 643551
650 4 $a Augmented reality. $3 1620831
650 4 $a Principles. $3 3559989
650 4 $a Interoperability. $3 3683437
650 4 $a Collaboration. $3 3556296
650 4 $a Ontology. $3 530874
650 4 $a Systems design. $3 3433840
650 4 $a Design engineering. $3 3681662
650 4 $a Internet of Things. $3 3538511
650 4 $a Fractals. $3 524457
650 4 $a Automobiles. $3 560291
650 4 $a Semantic web. $3 589980
650 4 $a Research & development--R&D. $3 3554335
650 4 $a Computers. $3 544777
650 4 $a Teams. $3 3546566
650 4 $a Power. $3 518736
650 4 $a Stereotypes. $3 3563992
650 4 $a Design. $3 518875
650 4 $a Taxonomy. $3 3556303
650 4 $a Engineering research. $3 3690201
650 4 $a Semantics. $3 520060
650 4 $a Interfaces. $2 gtt $3 834756
653 $a Digital engineering
653 $a Model-based systems engineering
653 $a Ontology
653 $a Semantic technologies
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0537
690 $a 0790
690 $a 0984
690 $a 0723
690 $a 0389
690 $a 0679
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Stevens Institute of Technology. $b School of Systems and Enterprises. $3 3177200
773 0 $t Masters Abstracts International $g 83-02.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28496220 $z click for full text (PQDT)