BibSonomyburst/tag/knowledgeBibSonomy RSS feed for /tag/knowledge2012-02-15T13:59:58+01:00http://www.bibsonomy.org/bibtex/29694689a034cc02aae1e27114ca26a94/jaeschkejaeschke2012-02-06T17:42:47+01:00analysis concept discovery fca formal kdd knowledge survey <span class="authorEditorList"><a href="/author/Poelmans">Jonas Poelmans</a>, <a href="/author/Elzinga">Paul Elzinga</a>, <a href="/author/Viaene">Stijn Viaene</a>, and <a href="/author/Dedene">Guido Dedene</a> </span><em>Conceptual Structures: From Information to Intelligence, </em><em>volume 6208 of Lecture Notes in Computer Science, </em><em>Springer, </em><em>Berlin/Heidelberg, </em>(<em>2010</em>)Mon Feb 06 17:42:47 CET 2012Berlin/HeidelbergConceptual Structures: From Information to Intelligence139--153Lecture Notes in Computer ScienceFormal Concept Analysis in Knowledge Discovery: A Survey62082010analysis concept discovery fca formal kdd knowledge survey In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing terms related to FCA research. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.http://www.bibsonomy.org/bibtex/2db5b020d744539bec9b1f75cb4075833/khilgenbergkhilgenberg2012-01-26T13:12:53+01:002011 association bible classification clustering database discovery kde knowledge rules seminar twitter <span class="authorEditorList"><a href="/author/Ester">Martin Ester</a>, and <a href="/author/Sander">Jörg Sander</a> </span><em>Springer Berlin Heidelberg, </em><em>1 edition, </em>(<em>2000</em>)Thu Jan 26 13:12:53 CET 20121Knowledge Discovery in Databases: Techniken und Anwendungen20002011 association bible classification clustering database discovery kde knowledge rules seminar twitter http://www.bibsonomy.org/bibtex/2569dca71fd27523848ad0a169ed79aaf/lwa_2011lwa_20112012-01-11T13:01:15+01:002011 LWA LWA_2011 approach conservation driven gamification knowledge semantic <span class="authorEditorList"><a href="/author/Meder">Michael Meder</a>, <a href="/author/Plumbaum">Till Plumbaum</a>, <a href="/author/Luca">Ernesto William De Luca</a>, and <a href="/author/Albayrak">Sahin Albayrak</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 11 13:01:15 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationGamification: A Semantic Approach for User Driven Knowledge Conservation20112011 LWA LWA_2011 approach conservation driven gamification knowledge semantic http://www.bibsonomy.org/bibtex/2c24fa4fd03456f4b640a65a70a435b76/lwa_2011lwa_20112012-01-11T13:01:15+01:002011 LWA LWA_2011 continuous developing integration knowledge systems <span class="authorEditorList"><a href="/author/Baumeister">Joachim Baumeister</a>, and <a href="/author/Reutelshoefer">Jochen Reutelshoefer</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 11 13:01:15 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationDeveloping Knowledge Systems with Continuous Integration20112011 LWA LWA_2011 continuous developing integration knowledge systems http://www.bibsonomy.org/bibtex/28e6eefcbee12500b8c7420736899cede/lwa_2011lwa_20112012-01-11T13:01:15+01:002011 LWA LWA_2011 beyond knowledge management personal versioning <span class="authorEditorList"><a href="/author/Thaul">Witold Thaul</a>, <a href="/author/Bleimann">Udo Bleimann</a>, and <a href="/author/Clarke">Nathan Clarke</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 11 13:01:15 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationPersonal Knowledge Management - Beyond Versioning20112011 LWA LWA_2011 beyond knowledge management personal versioning http://www.bibsonomy.org/bibtex/2ccea3a9868735f98d75ee847b0127838/lwa_2011lwa_20112012-01-11T13:01:15+01:002011 LWA LWA_2011 advanced evaluation information knowledge methods product reasoning representation <span class="authorEditorList"><a href="/author/Dornhöfer">Mareike Dornhöfer</a>, <a href="/author/Fathi">Madjid Fathi</a>, and <a href="/author/Holland ">Alexander Holland </a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 11 13:01:15 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationEvaluation of Advanced Knowledge Representation Methods for Reasoning of Product Use Information20112011 LWA LWA_2011 advanced evaluation information knowledge methods product reasoning representation http://www.bibsonomy.org/bibtex/20a173c7c3f502885fdc0fb30917dacf2/lwa_2011lwa_20112012-01-11T13:01:15+01:002011 LWA LWA_2011 better collecting design knowledge management planmp practices systems <span class="authorEditorList"><a href="/author/Kohlhase">Andrea Kohlhase</a>, and <a href="/author/Jucovschi">Constantin Jucovschi</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 11 13:01:15 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationplanMP: Collecting Practices for a better Design of Knowledge Management Systems20112011 LWA LWA_2011 better collecting design knowledge management planmp practices systems http://www.bibsonomy.org/bibtex/2b7918943b5d5e02d5397d952ab4cb362/lwa_2011lwa_20112012-01-11T13:01:15+01:002011 LWA LWA_2011 authoring closedworld compilation documents incremental knowledge markupbased <span class="authorEditorList"><a href="/author/Reutelshoefer">Jochen Reutelshoefer</a>, <a href="/author/Striffler">Albrecht Striffler</a>, <a href="/author/Lemmerich">Florian Lemmerich</a>, and <a href="/author/Puppe">Frank Puppe</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 11 13:01:15 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationIncremental Compilation of Knowledge Documents for Markup-based Closed-World Authoring20112011 LWA LWA_2011 authoring closedworld compilation documents incremental knowledge markupbased http://www.bibsonomy.org/bibtex/20f45e870093c053e6f41f54c14bda46b/stummestumme2012-01-04T11:35:08+01:002011 community itegpub knowledge mining myown <span class="authorEditorList"><a href="/author/Mitzlaff">Folke Mitzlaff</a>, <a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Analysis of Social Media and Ubiquitous Data, </em><em>volume 6904 of LNAI, </em>(<em>2011</em>)Wed Jan 04 11:35:08 CET 2012Analysis of Social Media and Ubiquitous DataLNAI{Community Assessment using Evidence Networks}690420112011 community itegpub knowledge mining myown http://www.bibsonomy.org/bibtex/21fe037ea2712b205c564243d67840059/stummestumme2012-01-04T11:23:25+01:002011 analysis communities community conferator discovery itegpub knowledge myown rfid <span class="authorEditorList"><a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mitzlaff">Folke Mitzlaff</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proc. Workshop on Mining Ubiquitous and Social Environments MUSE 2011 at ECML/PKDD 2011, </em>(<em>2011</em>)Wed Jan 04 11:23:25 CET 2012Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players20112011 analysis communities community conferator discovery itegpub knowledge myown rfid http://www.bibsonomy.org/bibtex/2e51afa64e0503aa53b36eb4a02e97156/georges_pgeorges_p2011-12-22T11:51:38+01:00AD; Axiomatic Hand-held Human Human-machine Knowledge Large Man Problem Product TRIZ Theory Theory, Usability computer design design; development; engineering, interaction; interface inventive machine management; of omniselector; problem satellite scale solving; systems; <span class="authorEditorList"><a href="/author/M.a">Uang S.-T.a Liu C.-L.b Chang M.a</a> </span><em>Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics</em> <em>6770 LNCS(PART 2):225-233</em> (<em>2011</em>)<em>cited By since 1996 0; Conference of 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011,<span class="info">...<div>cited By since 1996 0; Conference of 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011, Held as Part of 14th International Conference on Human-Computer Interaction, HCI International 2011; Conference Date: 9 July 2011 through 14 July 2011; Conference Code: 85648</div></span> . </em>Thu Dec 22 11:51:38 CET 2011Orlando, FLLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)cited By (since 1996) 0; Conference of 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011, Held as Part of 14th International Conference on Human-Computer Interaction, HCI International 2011; Conference Date: 9 July 2011 through 14 July 2011; Conference Code: 85648PART 2225-233A product design approach by integrating axiomatic design and TRIZ6770 LNCS2011AD; Axiomatic Hand-held Human Human-machine Knowledge Large Man Problem Product TRIZ Theory Theory, Usability computer design design; development; engineering, interaction; interface inventive machine management; of omniselector; problem satellite scale solving; systems; The purpose of this research intends to integrate the strengths of axiomatic design (AD) theory and theory of inventive problem solving (TRIZ). This study establishes a systematic product design model by adopting some major tools from AD and TRIZ such as functional requirements, design parameters, design matrix, contradiction matrix and inventive principles. Furthermore, the proposed model's efficiency is analyzed and evaluated by a case study of a Handheld GPS product. Results indicate that the design model which combines with two theories can find out the usability problems and solutions efficiently. When applying the proposed model on product redesign or new product development may avoid the cost waste and increase the design efficiency and usability during the product design and development processes. Β© 2011 Springer-Verlag.http://www.bibsonomy.org/bibtex/20fb9eaffae73aedcd98193fca6c7d9ae/georges_pgeorges_p2011-12-22T11:51:38+01:00Abstraction Design Design; Formalisation; Knowledge Level Matching Natural Ontology, Problem TRIZ; Whole based body, detail; languages; level; matching; of ontology problems; process; solving sources; systems; <span class="authorEditorList"><a href="/author/F.b">Yan W.a Zanni-Merk C.b Rousselot F.b</a> </span><em>Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics</em> <em>6884 LNAI(PART 4):445-454</em> (<em>2011</em>)<em>cited By since 1996 0; Conference of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011; Confer<span class="info">...<div>cited By since 1996 0; Conference of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011; Conference Date: 12 September 2011 through 14 September 2011; Conference Code: 86591</div></span> . </em>Thu Dec 22 11:51:38 CET 2011KaiserslauternLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)cited By (since 1996) 0; Conference of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011; Conference Date: 12 September 2011 through 14 September 2011; Conference Code: 86591PART 4445-454Matching of different abstraction level knowledge sources: The case of inventive design6884 LNAI2011Abstraction Design Design; Formalisation; Knowledge Level Matching Natural Ontology, Problem TRIZ; Whole based body, detail; languages; level; matching; of ontology problems; process; solving sources; systems; The formalization of the inventive design process has become an important problem to be solved. Formalizing the inventive design process based on ontologies is a good approach, and using the matching approaches available to solve the specific matching problems in inventive design ontologies is worth to be examined. In fact, there are different knowledge sources used for solving inventive design problems. These sources are about similar notions, but the level of detail of their description is very different. We are interested in the formalisation of these knowledge sources (for the moment described in natural language) and to make the whole body complete and coherent. It is needed, therefore, to make the links among them explicit. It is a typical problem of ontology matching. This article presents a survey of the possible ontology matching approaches for the specific characteristics of this problem. Β© 2011 Springer-Verlag.http://www.bibsonomy.org/bibtex/219d09600a3874b14695a3d6d78855456/georges_pgeorges_p2011-12-22T11:51:38+01:00Design Design; Development Industrial Industry; Innovative Knowledge Original Patent Patented Patents Requirement Requirements Washers; Washing Washing; analysis, analysis; and costs; cycle; design; economy; engineering; infringement; infringements; inventions machines, patent technology; <span class="authorEditorList"><a href="/author/R.">Liu Y. Jiang P. Wang W. Tan R.</a> </span>(<em>2011</em>)<em>cited By since 1996 0; Conference of IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011; Conference Date: 20 Aug<span class="info">...<div>cited By since 1996 0; Conference of IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011; Conference Date: 20 August 2011 through 21 August 2011; Conference Code: 86652</div></span> . </em>Thu Dec 22 11:51:38 CET 2011WuhanCCIE 2011 - Proceedings: 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineeringcited By (since 1996) 0; Conference of IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011; Conference Date: 20 August 2011 through 21 August 2011; Conference Code: 86652320-323Integrating requirements analysis and design around strategy for designing around patents22011Design Design; Development Industrial Industry; Innovative Knowledge Original Patent Patented Patents Requirement Requirements Washers; Washing Washing; analysis, analysis; and costs; cycle; design; economy; engineering; infringement; infringements; inventions machines, patent technology; In the era of knowledge economy, enterprises have set up patent barriers to protect their proprietary intellectual property. Therefore, it's an important issue for the industrial circles to break the patent barriers. Design around patents is an effective method to avoid the patent infringement, which is in connection with the competitor's patented product or technology. This paper presents an innovative design process which can combine the strategy and the requirement analysis. In order to reduce the design cost, shorten the development cycle and lower the risk of patent infringement, we try a systematic way which blends the needs analysis into the law of patent infringement, in using the TRIZ theory; we can achieve the original design to aim at the method and patented technology. Finally, we take the avoid powder washing machine for example to express the process of design around. Β© 2011 IEEE.http://www.bibsonomy.org/bibtex/2dfaa846cee91fda31bf632c7e830ef87/griesbaugriesbau2011-12-16T16:17:10+01:00assessing assessment confidence effects interest knowledge relative relevance <span class="authorEditorList"><a href="/author/Ruthven"> Ruthven</a>, <a href="/author/Ian"> Ian</a>, <a href="/author/Baillie"> Baillie</a>, <a href="/author/Mark"> Mark</a>, <a href="/author/Elsweiler"> Elsweiler</a>, and <a href="/author/David"> David</a> </span><em>Journal of Documentation</em> <em>63(4):482--504</em> (<em>2007</em>)Fri Dec 16 16:17:10 CET 2011Journal of Documentation4482--504The relative effects of knowledge, interest and confidence in assessing relevance632007assessing assessment confidence effects interest knowledge relative relevance http://www.bibsonomy.org/bibtex/220ced51227aff62f6912b4a641d5de54/flint63flint632011-12-16T10:53:19+01:00information knowledge zzz.spm paper recognition data semantic web analysis ieee ai pattern v1010 temporal processing management <span class="authorEditorList"><a href="/author/Valle">Emanuele Della Valle</a>, <a href="/author/Ceri">Stefano Ceri</a>, <a href="/author/van Harmelen">Frank van Harmelen</a>, and <a href="/author/Fensel">Dieter Fensel</a> </span><em>IEEE Intelligent Systems</em> <em>24(6):83-89</em> (<em>2009</em>)Fri Dec 16 10:53:19 CET 2011IEEE Intelligent Systems683-89It's a Streaming World! Reasoning upon Rapidly Changing Information242009information knowledge zzz.spm paper recognition data semantic web analysis ieee ai pattern v1010 temporal processing management Data streams occur in modern applications such as sensor network monitoring, traffic engineering, {RFID} tags applications, telecom call recording, medical record management, financial applications, and clickstreams. On the Web, many sites distribute and present information in real-time streams. In many of these application areas, the ability to perform complex reasoning tasks that combine streaming data with evolving knowledge would be of great benefit. Stream reasoning---an unexplored, yet high-impact research area---is a new multidisciplinary approach that will build on the Semantic Web and provide the abstractions, foundations, methods, and tools required to integrate data streams and reasoning systems.http://www.bibsonomy.org/bibtex/215a182205dff7d5db8313c1fe9443e0b/flint63flint632011-12-15T15:55:12+01:00ai knowledge springer zzz.th v1010 service book rdf processing semantic web conference <span class="authorEditorList"><a href="/author/Aroyo">Lora Aroyo</a>, <a href="/author/Welty">Chris Welty</a>, <a href="/author/Alani">Harith Alani</a>, <a href="/author/Taylor">Jamie Taylor</a>, <a href="/author/Bernstein">Abraham Bernstein</a>, <a href="/author/Kagal">Lalana Kagal</a>, and <a href="/author/und Eva Blomqvist">Natasha Noy und Eva Blomqvist</a> (Eds.). </span><em>Lecture Notes in Computer Science </em><em>Springer, </em><em>Berlin, </em>(<em>2011</em>)Thu Dec 15 15:55:12 CET 2011BerlinThe Semantic Web –- ISWC 2011, 10th International Semantic Web Conference, Bonn, Germany, Proceedings, Part IILecture Notes in Computer ScienceThe Semantic Web –- ISWC 2011, 10th International Semantic Web Conference, Bonn, Germany, October 23--27, 2011, Proceedings, Part II70322011ai knowledge springer zzz.th v1010 service book rdf processing semantic web conference The two-volume set LNCS 7031 and LNCS 7032 constitutes the proceedings of the 10th International Semantic Web Conference, ISWC 2011, held in Bonn, Germany, in October 2011. Part I contains 50 research papers which were carefully reviewed and selected from 264 submissions. The 17 semantic Web in-use track papers contained in part II were selected from 75 submissions. This volume also contains 15 doctoral consortium papers, selected from 31 submissions. The topics covered are: ontologies and semantics; database, IR, and AI technologies for the semantic Web; management of semantic Web data; reasoning over semantic Web data; search, query, integration, and analysis on the semantic Web; robust and scalable knowledge management and reasoning on the Web; interacting with semantic Web data; ontology modularity, mapping, merging and alignment; languages, tools, and methodologies for representing and managing semantic Web data; ontology, methodology, evaluation, reuse, extraction and evolution; evaluation of semantic Web technologies or data; specific ontologies and ontology pattern for the semantic Web; new formalisms for semantic Web; user interfaces to the semantic Web; cleaning, assurance, and provenance of semantic Web data; services, and processes; social semantic Web, evaluation of semantic Web technology; semantic Web population from the human Web.http://www.bibsonomy.org/bibtex/2b7a1de11bdb1e168eedbf7e2ef513c64/flint63flint632011-12-15T15:55:12+01:00ai knowledge springer zzz.th v1010 service book rdf processing semantic web conference <span class="authorEditorList"><a href="/author/Aroyo">Lora Aroyo</a>, <a href="/author/Welty">Chris Welty</a>, <a href="/author/Alani">Harith Alani</a>, <a href="/author/Taylor">Jamie Taylor</a>, <a href="/author/Bernstein">Abraham Bernstein</a>, <a href="/author/Kagal">Lalana Kagal</a>, and <a href="/author/und Eva Blomqvist">Natasha Noy und Eva Blomqvist</a> (Eds.). </span><em>Lecture Notes in Computer Science </em><em>Springer, </em><em>Berlin, </em>(<em>2011</em>)Thu Dec 15 15:55:12 CET 2011BerlinThe Semantic Web –- ISWC 2011, 10th International Semantic Web Conference, Bonn, Germany, Proceedings, Part ILecture Notes in Computer ScienceThe Semantic Web –- ISWC 2011, 10th International Semantic Web Conference, Bonn, Germany, October 23--27, 2011, Proceedings, Part I70312011ai knowledge springer zzz.th v1010 service book rdf processing semantic web conference The two-volume set LNCS 7031 and LNCS 7032 constitutes the proceedings of the 10th International Semantic Web Conference, ISWC 2011, held in Bonn, Germany, in October 2011. Part I contains 50 research papers which were carefully reviewed and selected from 264 submissions. The 17 semantic Web in-use track papers contained in part II were selected from 75 submissions. This volume also contains 15 doctoral consortium papers, selected from 31 submissions. The topics covered are: ontologies and semantics; database, IR, and AI technologies for the semantic Web; management of semantic Web data; reasoning over semantic Web data; search, query, integration, and analysis on the semantic Web; robust and scalable knowledge management and reasoning on the Web; interacting with semantic Web data; ontology modularity, mapping, merging and alignment; languages, tools, and methodologies for representing and managing semantic Web data; ontology, methodology, evaluation, reuse, extraction and evolution; evaluation of semantic Web technologies or data; specific ontologies and ontology pattern for the semantic Web; new formalisms for semantic Web; user interfaces to the semantic Web; cleaning, assurance, and provenance of semantic Web data; services, and processes; social semantic Web, evaluation of semantic Web technology; semantic Web population from the human Web.http://www.bibsonomy.org/bibtex/21c8c72988e012ba58d47fc9c4b4d95a5/iyas_hilaliyas_hilal2011-12-13T19:04:29+01:00answering clustering communities discovering informations knowledge question <span class="authorEditorList"><a href="/author/Bouguessa">Mohamed Bouguessa</a>, <a href="/author/Wang">Shengrui Wang</a>, and <a href="/author/Dumoulin">Benoît Dumoulin</a> </span><em>TKDD</em> <em>5(1):3</em> (<em>2010</em>)Tue Dec 13 19:04:29 CET 2011TKDD13Discovering Knowledge-Sharing Communities in Question-Answering Forums.52010answering clustering communities discovering informations knowledge question http://www.bibsonomy.org/bibtex/2cb54f9a4a0f243b6b50e2571a4af0b13/omar.aboukhaledomar.aboukhaled2011-12-05T18:11:10+01:00Decision Making, Ontology, Schema argumentation, knowledge sharing, {OWL,} {XML} <span class="authorEditorList"><a href="/author/Evangelou">Christina E. Evangelou</a>, <a href="/author/Khaled">Omar Abou Khaled</a>, <a href="/author/Karacapilidis">Nikos I. Karacapilidis</a>, and <a href="/author/Drissi">Houda Chabbi Drissi</a> </span><em>ECKM, </em><em>page 317--324. </em><em>Paris, France, </em>(<em>2004</em>)Mon Dec 05 18:11:10 CET 2011Paris, France{ECKM}317--324An Ontology Model for Knowledge Management in Collaborative Decision Making Settings2004Decision Making, Ontology, Schema argumentation, knowledge sharing, {OWL,} {XML} Expert knowledge and decision-making capabilities are widely considered as organisational ressources of high value. In order to exploit the organisational knowledge capital in collaborative decision-making settings, we propose a generic ontology model that has been defined with the use of {XML} technologies, as it attempts to chieve maximun interoperability and reuse. In this paper we present the structure and the main features of th proposed ontology model, and we describe its application through a case concerning manufacturing management.http://www.bibsonomy.org/bibtex/24a372941c74fd8c759cc7fb040ce5cf6/omar.aboukhaledomar.aboukhaled2011-12-05T18:11:10+01:00Ontologies, argumentation, collaborative decision gathering, knowledge making, management, multicriteria reuse, semantics sharing, <span class="authorEditorList"><a href="/author/Evangelou">Christina E. Evangelou</a>, <a href="/author/Karacapilidis">Nikos I. Karacapilidis</a>, and <a href="/author/Khaled">Omar Abou Khaled</a> </span><em>Int. J. Knowledge Learning</em> <em>1(1/2):130--145</em> (<em>2005</em>)Mon Dec 05 18:11:10 CET 2011Int. J. Knowledge Learning1/2130--145Interweaving knowledge management, argumentation and decision making in a collaborative setting: the {KAD} ontology model12005Ontologies, argumentation, collaborative decision gathering, knowledge making, management, multicriteria reuse, semantics sharing, Admitting that ontologies are a means to accomplish a shared understanding of different knowledge domains and to facilitate sharing and reuse of bodies of knowledge across groups and applications, this paper presents an ontology model, namely {KAD,} which applies to argumentative discourses carried out in collaborative decision making settings. The proposed model interweaves concepts from the Knowledge Management, Argumentation Theory, Decision Making, and Multicriteria Decision Aid disciplines. Through the case of manufacturing management, it is shown that {KAD} can be easily expanded in order to apply to any particular knowledge domain, after the proper definition of the relevant semantics.