國立高雄大學圖資館 |

Language: English

Back

Wireless semantic communicationsconcepts, principles, and challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wireless semantic communicationsedited by Yao Sun ... [et al.]
Reminder of title:	concepts, principles, and challenges /
other author:	Sun, Yao.
Published:	Hoboken, NJ :John Wiley & Sons,2025.
Description:	1 online resource (xx, 202 p.) :ill. (some col.)
Subject:	Semantic networks (Information theory)
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781394223336
ISBN:	9781394223336$q(electronic bk.)

Wireless semantic communicationsconcepts, principles, and challenges /
Wireless semantic communicationsconcepts, principles, and challenges /[electronic resource] :edited by Yao Sun ... [et al.] - 1st ed. - Hoboken, NJ :John Wiley & Sons,2025. - 1 online resource (xx, 202 p.) :ill. (some col.)

Includes bibliographical references and index.

"The concept of semantic communication was first introduced by Weaver in his landmark paper, which explicitly categorizes communication problems into three levels, including the technical problem at the bit level, the semantic problem at the semantic level, and the effectiveness problem at the information exchange level. Nowadays, the technical problem has been thoroughly investigated in the light of classical Shannon information theory, while the evolution toward semantic communication is just beginning to take shape, with the core focus of meaning delivery rather than traditional bit transmission. Concretely, semantic communication first refines semantic features and filters out irrelevant content by encoding the semantic information (i.e., semantic encoding) at the source, which can greatly reduce the amount of required bits while preserving the original meaning. Then, the powerful semantic decoders are deployed at the destination to accurately recover the source meaning from received bits (i.e., semantic decoding), even if there are intolerable bit errors at the syntactic level. Most importantly, through further leveraging matched background knowledge with respect to the observable messages between source and destination, users can acquire efficient exchanges for the desired information with ultra-low semantic ambiguity by transmitting fewer bits"--

ISBN: 9781394223336$q(electronic bk.)Subjects--Topical Terms:

225735
Semantic networks (Information theory)

LC Class. No.: Q387.5

Dewey Class. No.: 006.3/32

Wireless semantic communicationsconcepts, principles, and challenges /
LDR:02616cmm a2200313 a 4500 001 682466
005 20251017072503.0
006 m o d
007 cr cnu---unuuu
008 251202s2025 njua ob 001 0 eng d
020 $a 9781394223336$q(electronic bk.)
020 $a 1394223331$q(electronic bk.)
020 $a 9781394223312$q(electronic bk. ;$qepub)
020 $a 1394223315$q(electronic bk. ;$qepub)
020 $a 9781394223329$q(electronic bk. ;$qadobe pdf)
020 $a 1394223323$q(electronic bk. ;$qadobe pdf)
020 $z 9781394223305$q(hardback)
035 $a 9781394223336
040 $a NhCcYBP $b eng $c NhCcYBP
041 0 $a eng
050 0 0 $a Q387.5
082 0 0 $a 006.3/32 $2 23
245 0 0 $a Wireless semantic communications $h [electronic resource] : $b concepts, principles, and challenges / $c edited by Yao Sun ... [et al.]
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2025.
300 $a 1 online resource (xx, 202 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
520 $a "The concept of semantic communication was first introduced by Weaver in his landmark paper, which explicitly categorizes communication problems into three levels, including the technical problem at the bit level, the semantic problem at the semantic level, and the effectiveness problem at the information exchange level. Nowadays, the technical problem has been thoroughly investigated in the light of classical Shannon information theory, while the evolution toward semantic communication is just beginning to take shape, with the core focus of meaning delivery rather than traditional bit transmission. Concretely, semantic communication first refines semantic features and filters out irrelevant content by encoding the semantic information (i.e., semantic encoding) at the source, which can greatly reduce the amount of required bits while preserving the original meaning. Then, the powerful semantic decoders are deployed at the destination to accurately recover the source meaning from received bits (i.e., semantic decoding), even if there are intolerable bit errors at the syntactic level. Most importantly, through further leveraging matched background knowledge with respect to the observable messages between source and destination, users can acquire efficient exchanges for the desired information with ultra-low semantic ambiguity by transmitting fewer bits"-- $c Provided by publisher.
588 $a Description based on online resource; title from digital title page (viewed on October 15, 2024)
650 0 $a Semantic networks (Information theory) $3 225735
700 1 $a Sun, Yao. $3 924695
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781394223336