Encoding Semantic Awareness in Resource-Constrained Devices

With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart i...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE intelligent systems Ročník 23; číslo 2; s. 26 - 33
Hlavní autori: Preuveneers, D., Berbers, Y.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Los Alamitos IEEE 01.03.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
algorithms for data and knowledge management
Ambient intelligence
Artificial intelligence
Computation
Computer architecture
Context awareness
Devices
Encoding
Intelligent agents
Intelligent systems
Internet
Large-scale systems
Machine intelligence
On-line systems
Ontologies
Ontology
ontology languages
Pervasive computing
Representations
Semantic Web
Semantics
ISSN:1541-1672, 1941-1294
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other side of the computing spectrum is a complex undertaking. The techniques and tools that support the semantic Web aren't designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. To counter this disadvantage, we developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic-matching algorithm.
AbstractList With the Semantic Web relying on ontologies to establish online machine-interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other end of the computing spectrum is a complex undertaking. The techniques and tools that support the Semantic Web aren't designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. A proposed coding scheme for ontologies embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic-matching algorithm similar to subsumption testing in many ontology reasoners. Adapted from the source document.
With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other side of the computing spectrum is a complex undertaking. The techniques and tools that support the semantic Web aren't designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. To counter this disadvantage, we developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic-matching algorithm.
With the Semantic Web relying on ontologies to establish online machine-interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into one's environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. Here, Preveneers and Berbers discuss how they developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones.
With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a users context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other side of the computing spectrum is a complex undertaking. The techniques and tools that support the semantic Web arent designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. To counter this disadvantage, we developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic- matching algorithm.
Author Preuveneers, D.
Berbers, Y.
Author_xml – sequence: 1
  givenname: D.
  surname: Preuveneers
  fullname: Preuveneers, D.
  organization: Katholieke Univ. Leuven, Leuven
– sequence: 2
  givenname: Y.
  surname: Berbers
  fullname: Berbers, Y.
  organization: Katholieke Univ. Leuven, Leuven
BookMark eNqF0U1LAzEQBuAgCtbqyaOXxYMeZOvka5PFU6n1AyqC1XNIs7MSabO62Sr-e1MqHgrqXDKHZwIz7x7ZDk1AQg4pDCiF8vzudjpgAHrA5Bbp0VLQnLJSbKdervpCsV2yF-MLAONAdY9cjINrKh-esykubOi8y4YftsWAMWY-ZA8Ym2XrMB81IXat9QGr7BLfvcO4T3ZqO4948P32ydPV-HF0k0_ur29Hw0nuuBJdzpA66pQSjBWyKmpVM0c5sHoGmtqZBW6R81qrSoKw1QyspRy1ZiXYskq0T07X_762zdsSY2cWPjqcz23AZhmN1lCIklGR5MmfUqpCKiHhX8hFwVPpBI834Eu6R0jrGgaqEIKWZUJ0jVzbxNhibZzvbOebsLrY3FAwq3hMises4jFMppmzjZnX1i9s-_mLPlprj4g_UggltSz4F61MmSs
CODEN IISYF7
CitedBy_id crossref_primary_10_1109_MIE_2012_2193293
crossref_primary_10_3390_s140611110
crossref_primary_10_4018_jswis_2012010101
crossref_primary_10_3233_AIS_160384
crossref_primary_10_1007_s00779_011_0453_6
crossref_primary_10_1007_s13173_011_0029_3
crossref_primary_10_4018_IJISMD_2016100103
crossref_primary_10_1007_s40860_016_0019_5
crossref_primary_10_1108_00330331211276486
crossref_primary_10_1007_s13174_012_0064_0
crossref_primary_10_4018_jmcmc_2010100103
crossref_primary_10_3390_s120911888
Cites_doi 10.1007/BFb0053377
10.1145/319950.320057
10.1111/0824-7935.00081
10.1145/67544.66950
10.1007/978-0-387-34685-4_10
10.1007/978-3-540-30473-9_15
10.1016/j.websem.2007.03.004
ContentType Journal Article
Copyright Copyright Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar/Apr 2008
Copyright_xml – notice: Copyright Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar/Apr 2008
DBID 97E
RIA
RIE
AAYXX
CITATION
7SC
7SP
8FD
E3H
F2A
JQ2
L7M
L~C
L~D
F28
FR3
DOI 10.1109/MIS.2008.25
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Technology Research Database
Library & Information Sciences Abstracts (LISA)
Library & Information Science Abstracts (LISA)
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
DatabaseTitle CrossRef
Technology Research Database
Computer and Information Systems Abstracts – Academic
Library and Information Science Abstracts (LISA)
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts Professional
Engineering Research Database
ANTE: Abstracts in New Technology & Engineering
DatabaseTitleList Library and Information Science Abstracts (LISA)

Technology Research Database
Technology Research Database
Technology Research Database
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1941-1294
EndPage 33
ExternalDocumentID 1459090541
10_1109_MIS_2008_25
4475856
Genre orig-research
Feature
GroupedDBID -DZ
.DC
0R~
29I
4.4
5GY
5VS
6IK
77K
97E
9M8
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGOD
ACIWK
AENEX
AETIX
AFOGA
AGQYO
AGSQL
AHBIQ
AIBXA
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
AZLTO
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
HZ~
H~9
IEDLZ
IFIPE
IPLJI
JAVBF
KZ1
LAI
M43
OCL
PQQKQ
PZZ
RIA
RIE
RNI
RNS
RZB
WH7
77I
AAYXX
CITATION
7SC
7SP
8FD
E3H
F2A
JQ2
L7M
L~C
L~D
F28
FR3
ID FETCH-LOGICAL-c374t-2e1c1c7742265d6f7f2c1302fb081aba03ae33f87d504adb0aa13e88290a9dc13
IEDL.DBID RIE
ISICitedReferencesCount 17
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000254190500010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1541-1672
IngestDate Wed Oct 01 14:16:44 EDT 2025
Sun Nov 09 12:24:18 EST 2025
Mon Sep 29 05:14:29 EDT 2025
Sun Nov 09 06:37:08 EST 2025
Sat Nov 29 08:12:28 EST 2025
Tue Nov 18 22:43:36 EST 2025
Wed Aug 27 02:48:57 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c374t-2e1c1c7742265d6f7f2c1302fb081aba03ae33f87d504adb0aa13e88290a9dc13
Notes SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
PQID 207644199
PQPubID 23500
PageCount 8
ParticipantIDs proquest_journals_207644199
proquest_miscellaneous_57657450
crossref_primary_10_1109_MIS_2008_25
crossref_citationtrail_10_1109_MIS_2008_25
proquest_miscellaneous_880649214
proquest_miscellaneous_34633338
ieee_primary_4475856
PublicationCentury 2000
PublicationDate 2008-03-01
PublicationDateYYYYMMDD 2008-03-01
PublicationDate_xml – month: 03
  year: 2008
  text: 2008-03-01
  day: 01
PublicationDecade 2000
PublicationPlace Los Alamitos
PublicationPlace_xml – name: Los Alamitos
PublicationTitle IEEE intelligent systems
PublicationTitleAbbrev MIS
PublicationYear 2008
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref8
ref7
ref4
ref3
Dey (ref1) 2000
ref6
ref5
Preuveneers (ref9) 2006
ref2
References_xml – ident: ref7
  doi: 10.1007/BFb0053377
– volume-title: Prime Numbers Considered Useful: Ontology Encoding for Efficient Subsumption Testing, tech. report CW464
  year: 2006
  ident: ref9
– ident: ref8
  doi: 10.1145/319950.320057
– volume-title: CHI 2000 Workshop the What, Who, Where, When, and How of Context-Awareness
  year: 2000
  ident: ref1
  article-title: Towards a Better Understanding of Context and Context-Awareness
– ident: ref6
  doi: 10.1111/0824-7935.00081
– ident: ref5
  doi: 10.1145/67544.66950
– ident: ref2
  doi: 10.1007/978-0-387-34685-4_10
– ident: ref3
  doi: 10.1007/978-3-540-30473-9_15
– ident: ref4
  doi: 10.1016/j.websem.2007.03.004
SSID ssj0023018
Score 2.007654
Snippet With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing...
With the Semantic Web relying on ontologies to establish online machine-interpretable information, the Internet is growing into a semantically aware computing...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 26
SubjectTerms Algorithms
algorithms for data and knowledge management
Ambient intelligence
Artificial intelligence
Computation
Computer architecture
Context awareness
Devices
Encoding
Intelligent agents
Intelligent systems
Internet
Large-scale systems
Machine intelligence
On-line systems
Ontologies
Ontology
ontology languages
Pervasive computing
Representations
Semantic Web
Semantics
Title Encoding Semantic Awareness in Resource-Constrained Devices
URI https://ieeexplore.ieee.org/document/4475856
https://www.proquest.com/docview/207644199
https://www.proquest.com/docview/34633338
https://www.proquest.com/docview/57657450
https://www.proquest.com/docview/880649214
Volume 23
WOSCitedRecordID wos000254190500010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1941-1294
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0023018
  issn: 1541-1672
  databaseCode: RIE
  dateStart: 20010101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8QwEB5W8eDFt1ifOexJrLZN2zR4WnygB0VQYW8lTaewoF1xd_XvO5N2i6Ae7KklUwiTZB6ZxwfQR42oSAj6CRnjfqxl5Rsr0WdlVWU24uCbA5tQ9_fZcKgfenDS1cIgoks-w1N-dbH8cmxnfFV2xs3psiRdgAWl0qZWq3OuaKO6srckZuBjFbW1eGGgz-5uH5ukScbD_qZ9HJzKDxnsFMv16v-mtAYrrQEpBs2Kr0MP6w1YnYMziPasbsL5VW3HrJjEI74S-0ZWDD658otEmxjVYn5v7zNkpwOKwFJcohMcW_B8ffV0ceO3SAm-lSqe-hGGNrRkyZExlZRpparIckSyKkjjm8IE0qCUVabKJIhNWQTGhBIzDqIaXRLpNizW4xp3QJRkwahKKR1xS1-ilGGhS3ICw4y-TeHB8ZyDuW3biPMkX3LnTgQ6J3Y34JZR4kG_I35rumf8TrbJnO1IWqZ6sDdfmrw9WRP6RbEJp7UHR90oHQmOc5gax7NJLuNU0pP9TUFOVqLiJPBA_EFBYi2NdRTGu7_PbQ-Wm8wRzkbbh8Xp-wwPYMl-TEeT90O3Nb8ACCHhXA
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS91AEB_UCnrRWhWjbd2Dp9LUJLv7NosnaRWl-hBU8BY2mwk8sHnlfbT_vjObvCCoB3NK2Akss7vzsfPxAzhCi2hICMaajPFYWVnHzkuMWVnVuc84-BbAJsxwmD882Jsl-N7XwiBiSD7DH_waYvnV2M_5quyYm9PlerAMH7RSWdJWa_XuFW3VUPimFUMfm6yrxksTe3x9edumTTIi9jP9EwBVXkjhoFrON983qY-w0ZmQ4rRd8y1YwuYTbC7gGUR3Wrfh5KzxY1ZN4hb_EANHXpz-59ovEm5i1IjFzX3MoJ0BKgIr8QuD6NiB-_Ozu58XcYeVEHtp1CzOMPWpJ1uOzCldDWpTZ55jknVJOt-VLpEOpaxzU-lEuapMnEsl5hxGdbYi0l1YacYN7oGoyIYxtTE246a-RCnT0lbkBqY5fbsygm8LDha-ayTOk3wsgkOR2ILY3cJbZjqCo574b9s_43WybeZsT9IxNYKDxdIU3dma0i-GjThrIzjsR-lQcKTDNTieTwupBpKe_G0KcrO0UTqJQLxBQYJtoGyWqv3X53YIaxd311fF1eXw9wGst3kknJv2GVZmkzl-gVX_bzaaTr6GbfoE5Lnkow
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Encoding+Semantic+awareness+in+resource-constrained+devices&rft.jtitle=IEEE+intelligent+systems&rft.au=Preuveneers%2C+Davy&rft.au=Berbers%2C+Yolande&rft.date=2008-03-01&rft.issn=1541-1672&rft.volume=23&rft.issue=2&rft.spage=26&rft.epage=33&rft_id=info:doi/10.1109%2FMIS.2008.25&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1541-1672&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1541-1672&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1541-1672&client=summon