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

289 Pages·2014·22.87 MB·English

by  Yang Sok Kim

Yang Sok Kim
Byeong Ho Kang
Deborah Richards (Eds.)
Knowledge Management
and Acquisition
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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
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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