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

Digging into software knowledge gene...

Martin-Rodilla, Patricia.

FindBook

Google Book

Amazon

博客來

Digging into software knowledge generation in cultural heritage = modeling assistance strategies for large archaeological data sets /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digging into software knowledge generation in cultural heritage/ by Patricia Martin-Rodilla.
其他題名:	modeling assistance strategies for large archaeological data sets /
作者:	Martin-Rodilla, Patricia.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xxi, 320 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Archaeology - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-69188-6
ISBN:	9783319691886

Digging into software knowledge generation in cultural heritage = modeling assistance strategies for large archaeological data sets /
Martin-Rodilla, Patricia.

Digging into software knowledge generation in cultural heritagemodeling assistance strategies for large archaeological data sets /[electronic resource] :by Patricia Martin-Rodilla. - Cham :Springer International Publishing :2018. - xxi, 320 p. :ill., digital ;24 cm. - Modeling and optimization in science and technologies,v.112196-7326 ;. - Modeling and optimization in science and technologies ;v.11..

This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information--a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure. Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.

ISBN: 9783319691886

Standard No.: 10.1007/978-3-319-69188-6doiSubjects--Topical Terms:

948938
Archaeology
--Data processing.

LC Class. No.: CC80.4 / .M37 2018

Dewey Class. No.: 930.1028

Digging into software knowledge generation in cultural heritage = modeling assistance strategies for large archaeological data sets /
LDR:02433nmm a2200313 a 4500 001 2131718
003 DE-He213
005 20180619155707.0
006 m d
007 cr nn 008maaau
008 181005s2018 gw s 0 eng d
020 $a 9783319691886 $q (electronic bk.)
020 $a 9783319691879 $q (paper)
024 7 $a 10.1007/978-3-319-69188-6 $2 doi
035 $a 978-3-319-69188-6
040 $a GP $c GP
041 0 $a eng
050 4 $a CC80.4 $b .M37 2018
072 7 $a UMZ $2 bicssc
072 7 $a COM051230 $2 bisacsh
082 0 4 $a 930.1028 $2 23
090 $a CC80.4 $b .M382 2018
100 1 $a Martin-Rodilla, Patricia. $3 3297551
245 1 0 $a Digging into software knowledge generation in cultural heritage $h [electronic resource] : $b modeling assistance strategies for large archaeological data sets / $c by Patricia Martin-Rodilla.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxi, 320 p. : $b ill., digital ; $c 24 cm.
490 1 $a Modeling and optimization in science and technologies, $x 2196-7326 ; $v v.11
520 $a This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information--a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure. Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.
650 0 $a Archaeology $x Data processing. $3 948938
650 0 $a Cultural property $x Data processing. $3 3270368
650 0 $a Software engineering. $3 559826
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Software Engineering. $3 890874
650 2 4 $a Archaeology. $3 558412
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Humanities and Social Sciences, multidisciplinary. $3 3227905
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Modeling and optimization in science and technologies ; $v v.11. $3 3297552
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-69188-6
950 $a Engineering (Springer-11647)