株式会社極東書店トップ商品一覧Digging into Software Knowledge Generation in Cultural Heritage: Modeling Assistance Strategies for Large Archaeological Data Sets. Softcover reprint of the original 1st ed. 2018

商品詳細

Digging into Software Knowledge Generation in Cultural Heritage: Modeling Assistance Strategies for Large Archaeological Data Sets. Softcover reprint of the original 1st ed. 2018

Digging into Software Knowledge Generation in Cultural Heritage: Modeling Assistance Strategies for Large Archaeological Data Sets. Softcover reprint of the original 1st ed. 2018

・ISBN 978-3-319-88726-5 paper EUR 99.99

¥26,726.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Martin-Rodilla, Patricia,
シリーズ (Modeling and Optimization in Science and Technologies)
出版社 (Springer International Publishing AG, SZ)
出版年月2018
ページ数320 pp.
言語ENG
ニュース番号<A04-62628>

解説

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.