|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1298384196 |
| 003 |
OCoLC |
| 005 |
20240623213015.0 |
| 006 |
m o d |
| 007 |
cr |n||||||||| |
| 008 |
220219s2022 si a ob 000 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d GW5XE
|d EBLCP
|d OCLCO
|d OCLCF
|d UKAHL
|d OCLCQ
|d OCLCO
|d OCLCL
|d OCLCQ
|
| 019 |
|
|
|a 1298332374
|a 1298513205
|a 1299388506
|
| 020 |
|
|
|a 9789811686306
|q (electronic bk.)
|
| 020 |
|
|
|a 9811686300
|q (electronic bk.)
|
| 020 |
|
|
|z 9789811686290
|
| 020 |
|
|
|z 9811686297
|
| 024 |
7 |
|
|a 10.1007/978-981-16-8630-6
|2 doi
|
| 035 |
|
|
|a (OCoLC)1298384196
|z (OCoLC)1298332374
|z (OCoLC)1298513205
|z (OCoLC)1299388506
|
| 050 |
|
4 |
|a QA76.9.D343
|b K67 2022
|
| 072 |
|
7 |
|a TEC009000
|2 bisacsh
|
| 049 |
|
|
|a HCDD
|
| 100 |
1 |
|
|a Kosa, Victoria,
|e author.
|
| 245 |
1 |
0 |
|a Terminology saturation :
|b detection, measurement and use /
|c Victoria Kosa, Vadim Ermolayev.
|
| 264 |
|
1 |
|a Singapore :
|b Springer,
|c [2022]
|
| 264 |
|
4 |
|c ©2022
|
| 300 |
|
|
|a 1 online resource :
|b illustrations (some color).
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Cognitive science and technology
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 520 |
|
|
|a This book highlights an innovative approach for extracting terminological cores from subject domain-bounded collections of professional texts. The approach is based on exploiting the phenomenon of terminological saturation. The book presents the formal framework for the method of detecting and measuring terminological saturation as a successive approximation process. It further offers the suite of the algorithms that implement the method in the software and comprehensively evaluates all the aspects of the method and possible input configurations in the experiments on synthetic and real collections of texts in several subject domains. The book demonstrates the use of the developed method and software pipeline in industrial and academic use cases. It also outlines the potential benefits of the method for the adoption in industry.
|
| 505 |
0 |
|
|a 1. Introduction -- 2. Representativeness Challenge in Ontology Engineering -- 3. The Phenomenon of Saturation -- 4. The Structure of the Book -- 5. Related Work.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed February 28, 2022).
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
0 |
|a Computational intelligence.
|
| 650 |
|
7 |
|a Computational intelligence
|2 fast
|
| 650 |
|
7 |
|a Data mining
|2 fast
|
| 700 |
1 |
|
|a Ermolayev, Vadim,
|e author.
|
| 758 |
|
|
|i has work:
|a TERMINOLOGY SATURATION (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD38Dfwd9VQVwBqVjMYKgTd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|c Original
|z 9811686297
|z 9789811686290
|w (OCoLC)1285555748
|
| 830 |
|
0 |
|a Cognitive science and technology.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-16-8630-6
|y Click for online access
|
| 903 |
|
|
|a SPRING-COMP2022
|
| 994 |
|
|
|a 92
|b HCD
|