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Knowledge Management and Acquisition for Smart Systems and Services: 13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014, Gold Cost, Qld, Australia, December 1-2, 2014. Proceedings PDF

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Yang Sok Kim Byeong Ho Kang Deborah Richards (Eds.) Knowledge Management and Acquisition 3 6 8 for Smart Systems 8 I A and Services N L 13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014 Gold Cost, Qld, Australia, December 1–2, 2014 Proceedings 123 Lecture Notes in Artificial Intelligence 8863 Subseries of Lecture Notes in Computer Science LNAISeriesEditors RandyGoebel UniversityofAlberta,Edmonton,Canada YuzuruTanaka HokkaidoUniversity,Sapporo,Japan WolfgangWahlster DFKIandSaarlandUniversity,Saarbrücken,Germany LNAIFoundingSeriesEditor JoergSiekmann DFKIandSaarlandUniversity,Saarbrücken,Germany Yang Sok Kim Byeong Ho Kang Deborah Richards (Eds.) Knowledge Management and Acquisition for Smart Systems and Services 13th Pacific Rim KnowledgeAcquisition Workshop, PKAW 2014 Gold Cost, Qld,Australia, December 1-2, 2014 Proceedings 1 3 VolumeEditors YangSokKim UniversityofTasmania,Hobart,TAS,Australia E-mail:[email protected] ByeongHoKang UniversityofTasmania,Hobart,TAS,Australia E-mail:[email protected] DeborahRichards MacquarieUniversity,Sydney,NSW,Australia E-mail:[email protected] ISSN0302-9743 e-ISSN1611-3349 ISBN978-3-319-13331-7 e-ISBN978-3-319-13332-4 DOI10.1007/978-3-319-13332-4 SpringerChamHeidelbergNewYorkDordrechtLondon LibraryofCongressControlNumber:2014954090 LNCSSublibrary:SL7–ArtificialIntelligence ©SpringerInternationalPublishingSwitzerland2014 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection withreviewsorscholarlyanalysisormaterialsuppliedspecificallyforthepurposeofbeingenteredand executedonacomputersystem,forexclusiveusebythepurchaserofthework.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheCopyrightLawofthePublisher’slocation, inistcurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Permissionsforuse maybeobtainedthroughRightsLinkattheCopyrightClearanceCenter.Violationsareliabletoprosecution undertherespectiveCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Whiletheadviceandinformationinthisbookarebelievedtobetrueandaccurateatthedateofpublication, neithertheauthorsnortheeditorsnorthepublishercanacceptanylegalresponsibilityforanyerrorsor omissionsthatmaybemade.Thepublishermakesnowarranty,expressorimplied,withrespecttothe materialcontainedherein. Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface The Pacific Rim Knowledge Acquisition Workshop (PKAW) has provided a forum for presentation and discussion of all aspects of knowledge acquisition research.In particular,the study ofknowledgeacquisitionhasenormousimpor- tance currently, because the unprecedented data, called big data, are available today and knowledge acquisition mainly aims to extract useful knowledge from vast and diverse data as well as directly from human experts. PKAW has evolved to embrace and foster advances in theory, practice, and technology not only in knowledge acquisition and capture but also in all as- pectsofknowledgemanagementincludingreuse,sharing,maintenance,transfer, merging, reconciliation, creation, and dissemination. As many nations strive to beknowledgeeconomiesandorganizationsseektomaximizetheirknowledgeas- sets and usage, solutions to handle the complex task of knowledge management are more important than ever before. This volume contributes towardthis goal. This volume seeks to disseminate the latest solutions from the International Workshop on Knowledge Management and Acquisition for Smart Systems and Services(PKAW2014),heldontheGoldCoast,Australia,duringDecember1–2, 2014,in conjunction withthe PacificRim InternationalConference onArtificial Intelligence (PRICAI 2014). The workshopreceived69submissions from11countries.Fromthese, we ac- cepted18papers(26%)asregularlongpaperand4papersasregularshortpaper (6%). All paperswerereviewedbyatleasttwomembers ofthe PKAW/PRICAI ProgramCommittee.Thepapersdemonstrateabalanceoftheoretical,technical, and application-driven research, many papers incorporating all three foci. The workshop co-chairs would like to thank all those who were involved with PKAW 2014, including the PRICAI 2014 Organizing Committee, PKAW ProgramCommittee members, those who submitted papers and reviewed them and of course the authors, presenters, and attendees. PKAW is made possible by the generoussupportofour sponsors- Air ForceOffice ofScientific Research (AFOSR)andAsianOffice ofAerospaceResearchandDevelopment(AOARD). We warmly invite you to participate in PKAW 2014 anticipated to be held in Gold Coast, Queensland in conjunction with PRICAI 2014. December 2014 Yang Sok Kim Byeong Ho Kang Deborah Richards Organization Program Committee Ghassan Beydoun University of Wollongong, Australia Ivan Bindo University of Tasmania, Australia Xiongcai Cai The University of New South Wales, Australia Kyung Jin Cha KeiMyung University, Korea Paul Compton The University of New South Wales, Australia Richard Dazeley University of Ballarat, Australia Saurabh Garg University of Tasmania, Australia Byeong Ho Kang University of Tasmania, Australia Mihye Kim Catholic University of Daegu, South Korea Yang Sok Kim University of Tasmania, Australia Masahiro Kimura Ryukoku University, Japan Alfred Krzywicki University of New South Wales, Australia Maria Lee Shih Chien University, Taiwan Kyongho Min University of New South Wales, Australia Toshiro Minami Kyushu Institute of Information Sciences and Kyushu University Library, Japan Luke Mirowski University of Tasmania, Australia James Montgomery University of Tasmania, Australia Hiroshi Motota Osaka University, Japan Kouzou Ohara Aoyama Gakuin University, Japan Ulrich Reimer University of Applied Sciences St. Gallen, Switzerland Deborah Richards Macquarie University, Australia Kazumi Saito Univesity of Shizuoka, Japan Shuxiang Xu University of Tasmania, Australia VIII Organization Sponsoring Organizations Air Force Office of Scientific Research (AFOSR) Asian Office of Aerospace Research and Development (AOARD) University of Tasmania Table of Contents Machine Learning and Data Mining Academic Performance in a 3D Virtual Learning Environment: Different Learning Types vs. Different Class Types ................... 1 Nader Hanna, Deborah Richards, and Michael J. Jacobson The Performance of Objective Functions for Clustering Categorical Data ........................................................... 16 Zhengrong Xiang and Md Zahidul Islam ModelingofOperatingPhotovoltaicModuleTemperatureUsingHybrid Cuckoo and Artificial Neural Network .............................. 29 Shahril Irwan Sulaiman, Nur Zahidah Zainol, Zulkifli Othman, and Hedzlin Zainuddin lp-Norm Multiple Kernel Learning with Diversity of Classes ........... 38 Dayin Zhang and Hui Xue Design of Technology Value Analysis System Based on Patent Big Data ........................................................... 48 Youngkon Lee and Ukhyun Lee Incremental Knowledge Acquisition Problems Detected by a Ripple-Down Rules Based Medication Review Decision Support System: Are They Relevant?....................... 59 Ivan Bindoff, Colin Curtain, Gregory Peterson, Juanita Westbury, and Tristan Ling Incremental Schema Mapping ..................................... 69 Sarawat Anam, Yang Sok Kim, and Qing Liu Linked Production Rules: Controlling Inference with Knowledge ....... 84 Paul Compton, Yang Sok Kim, and Byeong Ho Kang Using a Domain Expert in Semi-supervised Learning ................. 99 Angela Finlayson and Paul Compton Web-Based Techniques and Applications Impacts of Linked URLs in Social Media: Preliminary Analysis of Linked URLs for Health-Related Social Media Postings ............... 112 Kyongho Min, William H. Wilson, and Yoo Jin Moon X Table of Contents Twitter Trending Topics Meaning Disambiguation ................... 126 Soyeon Caren Han, Hyunsuk Chung, Do Hyeong Kim, Sungyoung Lee, and Byeong Ho Kang Utilizing Customers’PurchaseandContractRenewalDetailsto Predict Defection in the Cloud Software Industry ........................... 138 Niken Prasasti Martono, Katsutoshi Kanamori, and Hayato Ohwada Multi-robot Coordination Based on Ontologies and Semantic Web Service..................................................... 150 Yuichiro Mori, Yuhei Ogawa, Akatsuki Hikawa, and Takahira Yamaguchi Domain Specific Knowledge Acquisition Methods and Application Towards Management of the Data and Knowledge Needed for Port Integration: An Initial Ontology ................................... 165 Ana Ximena Halabi Echeverry and Deborah Richards Cultivation Planning Application to Enhance Decision Making among Sri Lankan Farmers .............................................. 180 Tamara Ginige, Deborah Richards, and Michael Hitchens Extracting Conceptual Relations from Children’s Stories .............. 195 Briane Paul Samson and Ethel Ong Interpreting Overlaps in Business Process Mapping via Organisational Soft Knowledge Flows ............................................ 209 Alis Keshishi and Peter Busch Building a Vietnamese SentiWordNet Using Vietnamese Electronic Dictionary and String Kernel ...................................... 223 Xuan-Son Vu, Hyun-Je Song, and Seong-Bae Park Regular Short Papers Estimating Network Structure from Anonymous Ego-centric Information ..................................................... 236 Takayasu Fushimi, Kazumi Saito, and Kazuhiro Kazama Evolution Strategies with an RBM-Based Meta-model ................ 246 Kirill Makukhin Table of Contents XI A Comparison of Graph-Based and Statistical Metrics for Learning Domain Keywords ............................................... 260 Alexandre Kouznetsov and Amal Zouaq Using Generic and Generated Components to Create Static Software Analysis Tools Faster............................................. 269 Edward Tippetts Author Index.................................................. 279

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This book constitutes the proceedings of the 13th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2014, held in Gold Cost, Qld, Australia, in December 2014. The 18 full papers and 4 short papers included in this volume were carefully reviewed and selected
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