From Knowledge to Sign Management: A Co-design Methodology for Biodiversity and Music Enhancement
When using Artificial Intelligence techniques for Knowledge management in decision support systems, the enhancement of knowledge should be based both on artificial machine learning methods and a natural human learning approach. Indeed, knowledge representation with ontologies and Case-Based Reasonin...
Saved in:
Published in | Artificial Intelligence for Knowledge Management Vol. 497; pp. 80 - 105 |
---|---|
Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2016
Springer International Publishing |
Series | IFIP Advances in Information and Communication Technology |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | When using Artificial Intelligence techniques for Knowledge management in decision support systems, the enhancement of knowledge should be based both on artificial machine learning methods and a natural human learning approach. Indeed, knowledge representation with ontologies and Case-Based Reasoning (CBR) is not enough for gaining qualitative results in decision support systems. We need to manage know-how, i.e. living knowledge. For example, enhancing biodiversity and music means teaching and learning the effectiveness of individual and living interpretations (how to observe a natural specimen, how to play a music sheet). The quality of descriptions is thus very important to correctly classify or identify marine or terrestrial organisms, or learn adequately an instrument such as the guitar or the piano. This paper introduces Sign management to tackle this qualitative learning problem in AI. Then, a Co-design methodology and a cooking method on a Creativity Platform are proposed: when dealing with such complex domains, we need to focus on the signification of knowledge construction that operates in co-designing an e-service that should be useful for reaching a more robust knowledge base. Our finding is that due to different interpretations of domain objects from subjects (persons), we need sign bases to move from written expert knowledge transmission to multimedia know-how sharing in the community for getting better results. |
---|---|
AbstractList | When using Artificial Intelligence techniques for Knowledge management in decision support systems, the enhancement of knowledge should be based both on artificial machine learning methods and a natural human learning approach. Indeed, knowledge representation with ontologies and Case-Based Reasoning (CBR) is not enough for gaining qualitative results in decision support systems. We need to manage know-how, i.e. living knowledge. For example, enhancing biodiversity and music means teaching and learning the effectiveness of individual and living interpretations (how to observe a natural specimen, how to play a music sheet). The quality of descriptions is thus very important to correctly classify or identify marine or terrestrial organisms, or learn adequately an instrument such as the guitar or the piano. This paper introduces Sign management to tackle this qualitative learning problem in AI. Then, a Co-design methodology and a cooking method on a Creativity Platform are proposed: when dealing with such complex domains, we need to focus on the signification of knowledge construction that operates in co-designing an e-service that should be useful for reaching a more robust knowledge base. Our finding is that due to different interpretations of domain objects from subjects (persons), we need sign bases to move from written expert knowledge transmission to multimedia know-how sharing in the community for getting better results. |
Author | Sébastien, Véronique Conruyt, Noël Sébastien, Olivier Grosser, David Sébastien, Didier |
Author_xml | – sequence: 1 givenname: Noël surname: Conruyt fullname: Conruyt, Noël email: noel.conruyt@univ-reunion.fr – sequence: 2 givenname: Véronique surname: Sébastien fullname: Sébastien, Véronique – sequence: 3 givenname: Olivier surname: Sébastien fullname: Sébastien, Olivier – sequence: 4 givenname: Didier surname: Sébastien fullname: Sébastien, Didier – sequence: 5 givenname: David surname: Grosser fullname: Grosser, David |
BookMark | eNpNkF9PwjAUxauiEZBP4Eu_QLV_trXzDQmoEeKDmvjWdG03ptDiOjR8e8swxqebnHN_N_ecAeg57ywAlwRfEYz5dc4FYoiRHKVpzjFKZHYERlFlUeuk5Bj0icgESih9O_nvZbno_XlMnIEBwTyjGcWEnINRCO8YYyJITijuAzVr_Bo-Ov-9sqaysPXwua4cXCinKru2rr2BYzjxyNjQ6bZdeuNXvtrB0jfwtvam_rJNqNsdVM7AxTbUGk7dUjnd8RfgtFSrYEe_cwheZ9OXyT2aP909TMZzVFFBM2SNYEmqeK5VajJbCFbSsjQ6wUynZZpYXhYZt0VBqeFcc6xYaiijXBcqBjdsCMjhbtg0tatsIwvvP4IkWO47lbEhyWRclV2BMnYaGXpgNo3_3NrQSruHdHy7USu9VJs2RtsDSZoIGakcsx8rZXcL |
ContentType | Book Chapter |
Copyright | IFIP International Federation for Information Processing 2016 |
Copyright_xml | – notice: IFIP International Federation for Information Processing 2016 |
DBID | FFUUA |
DEWEY | 6.3 |
DOI | 10.1007/978-3-319-55970-4_6 |
DatabaseName | ProQuest Ebook Central - Book Chapters - Demo use only |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Computer Science Music |
EISBN | 9783319559704 3319559702 |
EISSN | 1868-422X |
Editor | Boulanger, Danielle Mercier-Laurent, Eunika |
Editor_xml | – sequence: 1 fullname: Mercier-Laurent, Eunika – sequence: 1 givenname: Eunika orcidid: 0000-0003-2303-7263 surname: Mercier-Laurent fullname: Mercier-Laurent, Eunika email: eunika.mercier-laurent@univ-lyon3.fr – sequence: 2 fullname: Boulanger, Danielle – sequence: 2 givenname: Danielle surname: Boulanger fullname: Boulanger, Danielle email: Danielle.Boulanger@univ-lyon3.fr |
EndPage | 105 |
ExternalDocumentID | EBC5594548_70_90 |
GroupedDBID | 0D6 0DA 38. AABBV AAMCO AAQZU ABOWU ACLMJ ADCXD AEJGN AEJLV AEKFX AETDV AEZAY ALMA_UNASSIGNED_HOLDINGS AORVH AWFBM AZZ BBABE CZZ FFUUA I4C IEZ LDG NUC SAO SBO SWNTM TPJZQ Z5O Z7R Z7S Z7U Z7V Z7W Z7X Z7Y Z7Z Z81 Z82 Z83 Z84 Z87 Z88 Z85 |
ID | FETCH-LOGICAL-g2826-ed8345a79ca5d6eb83f2ffdc403c5f54e7fb67ebb22d77c70a35d2327cba319d3 |
ISBN | 9783319559698 3319559699 |
ISSN | 1868-4238 |
IngestDate | Tue Oct 01 19:41:12 EDT 2024 Thu Jul 25 23:16:07 EDT 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
LCCallNum | Q334-342 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-g2826-ed8345a79ca5d6eb83f2ffdc403c5f54e7fb67ebb22d77c70a35d2327cba319d3 |
OCLC | 1076262011 |
OpenAccessLink | https://inria.hal.science/hal-01626986 |
PQID | EBC5594548_70_90 |
PageCount | 26 |
ParticipantIDs | springer_books_10_1007_978_3_319_55970_4_6 proquest_ebookcentralchapters_5594548_70_90 |
PublicationCentury | 2000 |
PublicationDate | 2016-00-00 |
PublicationDateYYYYMMDD | 2016-01-01 |
PublicationDate_xml | – year: 2016 text: 2016-00-00 |
PublicationDecade | 2010 |
PublicationPlace | Switzerland |
PublicationPlace_xml | – name: Switzerland – name: Cham |
PublicationSeriesTitle | IFIP Advances in Information and Communication Technology |
PublicationSeriesTitleAlternate | IFIP Advs Information |
PublicationSubtitle | Third IFIP WG 12. 6 International Workshop, AI4KM 2015, Held at IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, Revised Selected Papers |
PublicationTitle | Artificial Intelligence for Knowledge Management |
PublicationYear | 2016 |
Publisher | Springer International Publishing AG Springer International Publishing |
Publisher_xml | – name: Springer International Publishing AG – name: Springer International Publishing |
RelatedPersons | Rauterberg, Matthias Rannenberg, Kai Furnell, Steven Whitehouse, Diane Tröltzsch, Fredi Furbach, Ulrich Neuhold, Erich J. Goedicke, Michael Tatnall, Arthur Pras, Aiko Reis, Ricardo Winckler, Marco Sakarovitch, Jacques Pries-Heje, Jan |
RelatedPersons_xml | – sequence: 1 givenname: Kai surname: Rannenberg fullname: Rannenberg, Kai – sequence: 2 givenname: Jacques surname: Sakarovitch fullname: Sakarovitch, Jacques – sequence: 3 givenname: Michael surname: Goedicke fullname: Goedicke, Michael – sequence: 4 givenname: Arthur surname: Tatnall fullname: Tatnall, Arthur – sequence: 5 givenname: Erich J. surname: Neuhold fullname: Neuhold, Erich J. – sequence: 6 givenname: Aiko surname: Pras fullname: Pras, Aiko – sequence: 7 givenname: Fredi surname: Tröltzsch fullname: Tröltzsch, Fredi – sequence: 8 givenname: Jan surname: Pries-Heje fullname: Pries-Heje, Jan – sequence: 9 givenname: Diane surname: Whitehouse fullname: Whitehouse, Diane – sequence: 10 givenname: Ricardo surname: Reis fullname: Reis, Ricardo – sequence: 11 givenname: Steven surname: Furnell fullname: Furnell, Steven – sequence: 12 givenname: Ulrich surname: Furbach fullname: Furbach, Ulrich – sequence: 13 givenname: Marco surname: Winckler fullname: Winckler, Marco – sequence: 14 givenname: Matthias surname: Rauterberg fullname: Rauterberg, Matthias |
SSID | ssj0001819120 |
Score | 1.5721691 |
Snippet | When using Artificial Intelligence techniques for Knowledge management in decision support systems, the enhancement of knowledge should be based both on... |
SourceID | springer proquest |
SourceType | Publisher |
StartPage | 80 |
SubjectTerms | Biodiversity Co-design methodology Creativity platform E-service Knowledge management Music Sign management |
Title | From Knowledge to Sign Management: A Co-design Methodology for Biodiversity and Music Enhancement |
URI | http://ebookcentral.proquest.com/lib/SITE_ID/reader.action?docID=5594548&ppg=90 http://link.springer.com/10.1007/978-3-319-55970-4_6 |
Volume | 497 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELa27QV6ABYQLQ_5wIlVUDYPO0HisC1btYUCUlvUm-XYDqyEslI3e4CfzokZO06yoT2US7RyvIkzM8k8_M0MIa8LkIFoCi9SqcA3SfIkDmQU6gB0KUgQqHRpM-TOPrPjy-T0Kr0ajf70UEvrunirft-YV_I_XIUx4Ctmyd6Bs-1FYQB-A3_hCByG48D43QyzNjVjLczHFcvo1dVE3OBHHym7Ad5yuKyu179qt2lj98kPWpTFuds3B9WG1VYtBtaNYAVdB8--Zd6XnwvUsLdP-LDQ7fmmcRJmtnQrBSP4HJuEdiv2WfOBtjCTyZntdu2KRuFTHiyWuoWVWMAINq2ezKsfKMrtMyMrzOr9ydHJ18nMQR4sCLjJxKo9IHsjV2a459AERqbDwIgPjA5Cq110b8OTjuFTBM4Vy_vKIGNZAOamGzL9MdsC3n_0XSuqxnyY2izyfzVTH4yCiWPoycHLIdgW2eI5fI93ZvPTT9-6-CB60raqaLsMTE3yy8xd8ahu2W1FLVc0eXCTDf9psOVvLamLh2QXs2sopr0AvR6RkanG5IHvLUIbVTMm93uFMsdkx3L2MZEoM7SVGVovKcoM7WTmHZ3RVmJoT2IoMJv2JYYCz6m9Lu1JzBNyeTS_ODwOmiYhwfcIXOPA6CxOUslzJVPNTJHFZVSWWiVhrNIyTQwvC8ZNUUSR5lzxUMapBjeCq0ICiXT8lGxXy8o8I5SVTEcFZ6ksE_hfJDMlVQkGtYmxjBPbIxNPRGGhDA1-WjmSrQSQO0mTTPBQ5OEeeePpLHDySvgK4cAfEQu4ubD8EcCf_btMfk7udfL-gmzX12vzEkzjunjVSNFfc3mzSQ |
link.rule.ids | 785,786,790,799,27956 |
linkProvider | Library Specific Holdings |
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%3Abook&rft.genre=bookitem&rft.title=Artificial+Intelligence+for+Knowledge+Management&rft.au=Conruyt%2C+No%C3%ABl&rft.au=S%C3%A9bastien%2C+V%C3%A9ronique&rft.au=S%C3%A9bastien%2C+Olivier&rft.au=S%C3%A9bastien%2C+Didier&rft.atitle=From+Knowledge+to+Sign+Management%3A+A+Co-design+Methodology+for+Biodiversity+and+Music+Enhancement&rft.series=IFIP+Advances+in+Information+and+Communication+Technology&rft.date=2016-01-01&rft.pub=Springer+International+Publishing&rft.isbn=9783319559698&rft.issn=1868-4238&rft.eissn=1868-422X&rft.spage=80&rft.epage=105&rft_id=info:doi/10.1007%2F978-3-319-55970-4_6 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Febookcentral.proquest.com%2Fcovers%2F5594548-l.jpg |