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2020 – today
- 2024
[j31]Hong N. Dao
, Tuyen Nguyen, Chérubin Mugisha, Incheon Paik:
A Multimodal Transfer Learning Approach Using PubMedCLIP for Medical Image Classification. IEEE Access 12: 75496-75507 (2024)- [j30]Kungan Zeng, Incheon Paik:
Web service embedding: Representing the invocation association between services with practical-valued vectors. Expert Syst. Appl. 238(Part F): 122196 (2024) - 2023
- [j29]Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik:
Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases. IEEE Access 11: 12504-12524 (2023) - [j28]T. H. Akila S. Siriweera, Incheon Paik, Huawei Huang:
Constraint-Driven Complexity-Aware Data Science Workflow for AutoBDA. IEEE Trans. Big Data 9(6): 1438-1457 (2023) - [c96]Zheqi Shen, Incheon Paik:
Predicting Depression on Twitter with Word Embedding by Pretrained Language Model. iCAST 2023: 247-252 - [c95]Jean Flaherty, Chibuike Onuoha, Incheon Paik, Truong Cong Thang:
AI to Judge AI-Generated Images: Both Semantics and Perception Matter. ICCE-Berlin 2023: 51-52 - [c94]Hong N. Dao, Incheon Paik:
Patient Similarity using Electronic Health Records and Self-supervised Learning. MCSoC 2023: 105-110 - 2022
- [j27]Chérubin Mugisha, Incheon Paik:
Comparison of Neural Language Modeling Pipelines for Outcome Prediction From Unstructured Medical Text Notes. IEEE Access 10: 16489-16498 (2022) - [c93]Chérubin Mugisha, Incheon Paik:
Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER. BIBM 2022: 3859-3861 - [c92]Incheon Paik, Kungan Zeng, Munhan Bae:
Web-based Automatic Deep Learning Service Generation System by Ontology Technologies. CSE 2022: 65-72 - [c91]Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Bathala Venus Vikranth Raj, R. Uday Kiran, Yutaka Watanobe, Incheon Paik:
Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases. IEA/AIE 2022: 831-843 - [c90]Truong Cong Thang, Yutaka Watanobe, Rage Uday Kiran, Incheon Paik:
Towards QoE Management for Post-Pandemic Online Learning : Invited Paper. KSE 2022: 1-6 - [c89]Tuyen Nguyen, Incheon Paik, Hiroyuki Sagawa, Truong Cong Thang:
Quantum Machine Learning with Quantum Image Representations. QCE 2022: 851-854 - [c88]Tuyen Nguyen, Incheon Paik, Hiroyuki Sagawa, Truong Cong Thang:
Towards Quantum Scalable Data for Heterogeneous Computing Environments. QCE 2022: 886-889 - [c87]Incheon Paik:
Semantic Repository for Automatic Deep Learning Generation. ICSC 2022: 167-170 - 2021
- [j26]Kungan Zeng, Incheon Paik:
Semantic Service Clustering With Lightweight BERT-Based Service Embedding Using Invocation Sequences. IEEE Access 9: 54298-54309 (2021) - [j25]Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Truong Cong Thang, Incheon Paik:
Impact of Practical Skills on Academic Performance: A Data-Driven Analysis. IEEE Access 9: 139975-139993 (2021) - [j24]Wuhui Chen, Baichuan Liu, Incheon Paik, Zhenni Li, Zibin Zheng:
QoS-Aware Data Placement for MapReduce Applications in Geo-Distributed Data Centers. IEEE Trans. Engineering Management 68(1): 120-136 (2021) - [c86]Atsushi Oba, Incheon Paik, Ayato Kuwana:
Automatic Classification for Ontology Generation by Pretrained Language Model. IEA/AIE (1) 2021: 210-221 - [c85]Haklin Kimm, Incheon Paik:
Distributed Neural Network with TensorFlow on Human Activity Recognition Over Multicore TPU. MCSoC 2021: 127-134 - [c84]Kungan Zeng, Incheon Paik:
Dynamic Service Recommendation Using Lightweight BERT-based Service Embedding in Edge Computing. MCSoC 2021: 182-189 - [c83]Haklin Kimm, Incheon Paik, Hanke Kimm:
Performance Comparision of TPU, GPU, CPU on Google Colaboratory Over Distributed Deep Learning. MCSoC 2021: 312-319 - [c82]Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Truong Cong Thang, Incheon Paik:
Challenges and Exit Strategies for Adapting Interactive Online Education Amid the Pandemic and its Aftermath. TALE 2021: 595-602 - 2020
- [j23]Banujan Kuhaneswaran, Banage T. G. S. Kumara, Incheon Paik:
Strengthening Post-Disaster Management Activities by Rating Social Media Corpus. Int. J. Syst. Serv. Oriented Eng. 10(1): 34-50 (2020) - [j22]Banage T. G. S. Kumara, Incheon Paik, Yuichi Yaguchi:
Context-Aware Web Service Clustering and Visualization. Int. J. Web Serv. Res. 17(4): 32-54 (2020) - [c81]Quang-Minh Do, Kungan Zeng, Incheon Paik:
Resolving Lexical Ambiguity in English-Japanese Neural Machine Translation. AICCC 2020: 46-51 - [c80]Chérubin Mugisha, Incheon Paik:
Pneumonia Outcome Prediction Using Structured And Unstructured Data From EHR. BIBM 2020: 2640-2646 - [c79]R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang:
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. IEEE BigData 2020: 4724-4733 - [c78]Kungan Zeng, Incheon Paik:
Web Service Composition Sequence Learning Based on Neural Language Networks. BigDataSE 2020: 1-8 - [c77]Ty V. Nguyen, Incheon Paik:
Feature Extraction with Triplet Loss to Classify Disease on Leaf Data. iCAST 2020: 1-5 - [c76]Kungan Zeng, Incheon Paik:
A Lightweight Transformer with Convolutional Attention. iCAST 2020: 1-6
2010 – 2019
- 2019
- [j21]Wuhui Chen, Incheon Paik, Patrick C. K. Hung:
Transformation-Based Streaming Workflow Allocation on Geo-Distributed Datacenters for Streaming Big Data Processing. IEEE Trans. Serv. Comput. 12(4): 654-668 (2019) - [c75]Incheon Paik, T. H. Akila S. Siriweera:
Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition. DSAA 2019: 610-611 - [c74]Incheon Paik, Ryo Ataka:
Adaptable Deep Learning Generation by Automatic Service Composition. ICWS 2019: 437-439 - [c73]Atsushi Oba, Incheon Paik:
Extraction of Taxonomic Relation of Complex Terms by Recurrent Neural Network. ICCC 2019: 70-72 - 2018
- [j20]T. H. Akila S. Siriweera, Incheon Paik:
QoS-Aware Rule-Based Traffic-Efficient Multiobjective Service Selection in Big Data Space. IEEE Access 6: 48797-48814 (2018) - [j19]Benying Tan, Yujie Li, Shuxue Ding, Incheon Paik, Atsunori Kanemura:
DC programming for solving a sparse modeling problem of video key frame extraction. Digit. Signal Process. 83: 214-222 (2018) - [j18]Rupasingha A. H. M. Rupasingha, Incheon Paik, Banage T. G. S. Kumara:
Specificity-Aware Ontology Generation for Improving Web Service Clustering. IEICE Trans. Inf. Syst. 101-D(8): 2035-2043 (2018) - [j17]Wuhui Chen, Incheon Paik, Zhenni Li, Neil Y. Yen:
A cost minimization data allocation algorithm for dynamic datacenter resizing. J. Parallel Distributed Comput. 118(Part): 280-295 (2018) - [c72]Rupasingha A. H. M. Rupasingha, Incheon Paik:
Evaluation of Web Service Recommendation Performance via Sparsity Alleviating by Specificity-Aware Ontology-Based Clustering. iCAST 2018: 279-284 - [c71]K. Banujan., Banage T. G. S. Kumara, Incheon Paik:
Twitter and Online News analytics for Enhancing Post-Natural Disaster Management Activities. iCAST 2018: 302-307 - [c70]Takeyuki Miyagi, Rupasingha A. H. M. Rupasingha, Incheon Paik:
Analysis of Web Service Using Word Embedding by Deep Learning. iCAST 2018: 336-341 - [c69]Rupasingha A. H. M. Rupasingha, Incheon Paik:
Improving Service Recommendation by Alleviating the Sparsity with a Novel Ontology-Based Clustering. ICWS 2018: 351-354 - [c68]Kazuki Omine, Incheon Paik:
Classification of Taxonomical Relationship by Word Embedding. ICCC 2018: 122-125 - [c67]Incheon Paik, Yuji Ishizuka, Quang-Minh Do, Wuhui Chen:
On-Line Cost-Aware Workflow Allocation in Heterogeneous Computing Environments. MCSoC 2018: 209-216 - [e1]Jeffrey Tsai, Ernesto Damiani, Xiaoqing (Frank) Liu, Incheon Paik:
2018 IEEE International Conference on Cognitive Computing, ICCC 2018, San Francisco, CA, USA, July 2-7, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-7241-9 [contents] - 2017
- [j16]Wuhui Chen, Incheon Paik, Neil Y. Yen:
Discovering internal social relationship for influence-aware service recommendation. Multim. Tools Appl. 76(18): 18193-18220 (2017) - [j15]Wuhui Chen, Incheon Paik, Zhenni Li:
Cost-Aware Streaming Workflow Allocation on Geo-Distributed Data Centers. IEEE Trans. Computers 66(2): 256-271 (2017) - [c66]T. H. Akila S. Siriweera, Incheon Paik, Banage T. G. S. Kumara:
QoS and Customizable Transaction-Aware Selection for Big Data Analytics on Automatic Service Composition. SCC 2017: 116-123 - [c65]Banage T. G. S. Kumara, Incheon Paik, T. H. A. S. Siriweera, Koswatte R. C. Koswatte:
QoS Aware Service Clustering to Bootstrap the Web Service Selection. SCC 2017: 233-240 - [c64]Sheng Zhang, Incheon Paik:
An efficient algorithm for web service selection based on local selection in large scale. iCAST 2017: 188-193 - [c63]Chungho Lee, Incheon Paik:
Stock market analysis from Twitter and news based on streaming big data infrastructure. iCAST 2017: 312-317 - [c62]Thenuwara Hannadige Akila Sanjaya Siriweera, Incheon Paik, Banage Thanne Gedara Samantha Kumara:
Constraint-Driven Dynamic Workflow for Automation of Big Data Analytics Based on GraphPlan. ICWS 2017: 357-364 - [c61]Rupasingha A. H. M. Rupasingha, Incheon Paik, Banage T. G. S. Kumara:
Improving Web Service Clustering through a Novel Ontology Generation Method by Domain Specificity. ICWS 2017: 744-751 - [c60]Incheon Paik, Yutaka Koshiba, T. H. Akila S. Siriweera:
Efficient Service Discovery Using Social Service Network Based on Big Data Infrastructure. MCSoC 2017: 166-173 - [c59]Yujie Li, Benying Tan, Shuxue Ding, Incheon Paik, Atsunori Kanemura:
Key Frame Extraction from Video Based on Determinant-Type of Sparse Measure and DC Programming. MCSoC 2017: 174-180 - 2016
- [j14]Wuhui Chen, Incheon Paik, Zhenni Li:
Tology-Aware Optimal Data Placement Algorithm for Network Traffic Optimization. IEEE Trans. Computers 65(8): 2603-2617 (2016) - [c58]T. H. Akila S. Siriweera, Incheon Paik, Banage T. G. S. Kumara:
QoS-Aware Traffic-Efficient Web Service Selection over BigData Space. CIT 2016: 197-203 - [c57]Banage T. G. S. Kumara, Incheon Paik, T. H. A. S. Siriweera, Koswatte R. C. Koswatte:
Cluster-Based Web Service Recommendation. SCC 2016: 348-355 - [c56]Yutaka Koshiba, Incheon Paik, Wuhui Chen:
Fast Social Service Network Construction Using Map-Reduce for Efficient Service Discovery. SCC 2016: 371-378 - [c55]Yuji Ishizuka, Wuhui Chen, Incheon Paik:
Workflow Transformation for Real-Time Big Data Processing. BigData Congress 2016: 315-318 - [c54]Incheon Paik:
Situation awareness based on big data analysis. ICMLC 2016: 911-916 - [c53]T. H. Akila S. Siriweera, Incheon Paik, Jia Zhang, Banage T. G. S. Kumara:
Big Data Analytic Service Discovery Using Social Service Network with Domain Ontology and Workflow Awareness. ICWS 2016: 324-331 - [c52]Incheon Paik, Satoshi Hotta, Wuhui Chen:
Analysis of data distribution to classify data based on taxonomy hierarchy. SMC 2016: 3540-3545 - 2015
- [j13]Wuhui Chen, Incheon Paik, Patrick C. K. Hung:
Privacy Issues in SOAP Message Exchange Pattern for Social Services. Fundam. Informaticae 137(2): 253-271 (2015) - [j12]Koswatte R. C. Koswatte, Incheon Paik, Wonhee Park, Banage T. G. S. Kumara:
Innovative Product Design using Metaontology with Semantic TRIZ. Int. J. Inf. Retr. Res. 5(2): 43-65 (2015) - [j11]Wuhui Chen, Incheon Paik:
Toward Better Quality of Service Composition Based on a Global Social Service Network. IEEE Trans. Parallel Distributed Syst. 26(5): 1466-1476 (2015) - [j10]Wuhui Chen, Incheon Paik, Patrick C. K. Hung:
Constructing a Global Social Service Network for Better Quality of Web Service Discovery. IEEE Trans. Serv. Comput. 8(2): 284-298 (2015) - [c51]T. H. A. S. Siriweera, Incheon Paik, Banage T. G. S. Kumara, Koswatte R. C. Koswatta:
Intelligent Big Data Analysis Architecture Based on Automatic Service Composition. BigData Congress 2015: 276-280 - [c50]Wuhui Chen, Banage T. G. S. Kumara, Incheon Paik, Zhenni Li:
Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure. BigDataService 2015: 353-360 - [c49]T. H. Akila S. Siriweera, Incheon Paik, Banage T. G. S. Kumara:
Onotology-based service discovery for intelligent Big Data analytics. iCAST 2015: 66-71 - [c48]Yutaka Koshiba, Wuhui Chen, Yuichi Yamada, Takazumi Tanaka, Incheon Paik:
Investigation of network traffic in geo-distributed data centers. iCAST 2015: 174-179 - [c47]Banage T. G. S. Kumara, Incheon Paik, Jia Zhang, T. H. A. S. Siriweera, Koswatte R. C. Koswatte:
Ontology-Based Workflow Generation for Intelligent Big Data Analytics. ICWS 2015: 495-502 - 2014
- [j9]Banage T. G. S. Kumara, Incheon Paik, Wuhui Chen, Keun Ho Ryu:
Web Service Clustering using a Hybrid Term-Similarity Measure with Ontology Learning. Int. J. Web Serv. Res. 11(2): 24-45 (2014) - [j8]Incheon Paik, Wuhui Chen, Michael N. Huhns:
A Scalable Architecture for Automatic Service Composition. IEEE Trans. Serv. Comput. 7(1): 82-95 (2014) - [c46]Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Wuhui Chen, Koswatte R. C. Koswatte:
Context Aware Post-filtering for Web Service Clustering. IEEE SCC 2014: 440-447 - [c45]Banage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte, Wuhui Chen:
Ontology learning with complex data type for Web service clustering. CIDM 2014: 129-136 - [c44]Banage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte, Wuhui Chen:
Recommendation for Web services with domain specific context awareness. CIDM 2014: 281-287 - [c43]Dingkun Li, Minghao Piao, Ho-Sun Shon, Keun Ho Ryu, Incheon Paik:
One pass preprocessing for token-based source code clone detection. iCAST 2014: 1-6 - [c42]Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi, Wuhui Chen:
Context-Aware Filtering and Visualization of Web Service Clusters. ICWS 2014: 89-96 - [c41]Koswatte R. C. Koswatte, Incheon Paik, Banage T. G. S. Kumara:
Meta-framework for semantic TRIZ. ISIC 2014: 1-7 - [c40]Hyeongsoo Kim, Hyun Woo Park, Wonwoo Cho, Incheon Paik, Keun Ho Ryu:
A Data Model for Object-Based Seamless Digital Map Using Digital Map 2.0. WAIM Workshops 2014: 360-371 - 2013
- [j7]Incheon Paik, Wuhui Chen:
Semantic pattern templates for automating business choreography on web services. Int. J. Bus. Process. Integr. Manag. 6(2): 97-111 (2013) - [j6]Wuhui Chen, Incheon Paik:
Improving efficiency of service discovery using Linked data-based service publication. Inf. Syst. Frontiers 15(4): 613-625 (2013) - [j5]Wuhui Chen, Incheon Paik, Tetsuya Tashiro:
Interlinking Distributed Services for Workflow-as-a-Service Based on Linked Data. J. Adv. Comput. Intell. Intell. Informatics 17(4): 561-572 (2013) - [c39]Banage T. G. S. Kumara, Yuichi Yaguchi, Incheon Paik, Wuhui Chen:
Clustering and Spherical Visualization of Web Services. IEEE SCC 2013: 89-96 - [c38]Victor W. Chu, Raymond K. Wong, Wuhui Chen, Incheon Paik, Chi-Hung Chi:
Service Discovery Based on Objective and Subjective Measures. IEEE SCC 2013: 360-367 - [c37]Wuhui Chen, Incheon Paik, Takazumi Tanaka, Banage T. G. S. Kumara:
Awareness of Social Influence for Service Recommendation. IEEE SCC 2013: 767-768 - [c36]Incheon Paik, Takazumi Tanaka, Hiroki Ohashi, Wuhui Chen:
Big Data Infrastructure for Active Situation Awareness on Social Network Services. BigData Congress 2013: 411-412 - [c35]Wuhui Chen, Incheon Paik, Junbo Wang, Banage T. G. S. Kumara, Takazumi Tanaka:
Awareness of social influence on linked social service. CYBCONF 2013: 32-39 - [c34]Ryohei Komiya, Incheon Paik, Keun Ho Ryu:
Customizable active situation awareness framework based on meta-process in ontology. iCAST/UMEDIA 2013: 114-120 - [c33]Hiroki Ohashi, Incheon Paik, Banage T. G. S. Kumara:
Calculating word similarity for context aware web service clustering. iCAST/UMEDIA 2013: 216-220 - [c32]Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi:
Web service filtering and visualization with context aware similarity to bootstrap clustering. iCAST/UMEDIA 2013: 220-226 - [c31]Tetsuya Tashiro, Wuhui Chen, Incheon Paik:
Constructing Web-scale functional map on global social service network for workflow-as-a-service. iCAST/UMEDIA 2013: 269-275 - [c30]Banage T. G. S. Kumara, Incheon Paik, Wuhui Chen:
Web-Service Clustering with a Hybrid of Ontology Learning and Information-Retrieval-Based Term Similarity. ICWS 2013: 340-347 - 2012
- [c29]Wuhui Chen, Incheon Paik, Ryohei Komiya:
Global Service Space Construction and Its Application to Workflow as a Service. IEEE SCC 2012: 547-554 - [c28]Wuhui Chen, Incheon Paik, Patrick C. K. Hung:
Linked Social Service: Connecting Isolated Services into a Global Social Service Network. APSCC 2012: 217-224 - [c27]Xiuming Yu, Meijing Li, Incheon Paik, Keun Ho Ryu:
Prediction of Web User Behavior by Discovering Temporal Relational Rules from Web Log Data. DEXA (2) 2012: 31-38 - [c26]Incheon Paik, Ryohei Komiya, Wuhui Chen, Kyeongmu Lee:
Active situation awareness framework for social network services. iCAST 2012: 54-57 - [c25]Wuhui Chen, Incheon Paik, Tetsuya Tashiro, Daeyong Kang:
Global service space for workflow as a service. iCAST 2012: 218-223 - [c24]Wuhui Chen, Incheon Paik, Daeyong Kang, Takazumi Tanaka:
Service discovery based on tree structure. iCAST 2012: 263-268 - [c23]Wuhui Chen, Ryusuke Tashiro, Incheon Paik, Takazumi Tanaka:
Connecting isolated service islands into Global Social Service Network. iCAST 2012: 269-274 - [c22]Eonseok Shin, Tsendsuren Munkhdalai, Meijing Li, Incheon Paik, Keun Ho Ryu:
A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition. ICHIT (1) 2012: 485-492 - [c21]Wuhui Chen, Incheon Paik, Ryohei Komiya:
Linked Social Service: Evolving from an Isolated Service into a Global Social Service Network. ICWS 2012: 618-619 - 2011
- [c20]Incheon Paik, Kyubo Kim, Wonhee Park, Ryohei Komiya:
Information infrastructure for innovative product design in SCM using semantic TRIZ. iCAST 2011: 1-6 - [c19]Ryohei Komiya, Incheon Paik, Masayuki Hisada:
Classification of malicious web code by machine learning. iCAST 2011: 406-411 - [c18]Incheon Paik, Wuhui Chen, Ryohei Komiya:
Identification of Semistructured Abstract Nonfunctional Properties for Automatic Service Composition. ICWS 2011: 674-681 - [c17]Incheon Paik, Wuhui Chen, Ryohei Komiya:
A Functional - Scalable Architecture for Automatic Service Composition. SERVICES 2011: 311-318 - 2010
- [j4]Incheon Paik, Hiroshi Mizugai:
Recommendation System Using Weighted TF-IDF and Naive Bayes Classifiers on RSS Contents. J. Adv. Comput. Intell. Intell. Informatics 14(6): 631-637 (2010) - [c16]Hiroshi Mizugai, Incheon Paik, Wuhui Chen:
Scalable Orchestration Strategy for Automatic Service Composition. CIT 2010: 1474-1479 - [c15]Incheon Paik, Shinsuke Mori, Wuhui Chen:
Semantic words similarity in triple relation using intermediate concept by PLSI. SMC 2010: 912-917 - [c14]Incheon Paik, Wuhui Chen:
Design of user interface for Automatic Service Composition. SMC 2010: 1046-1053
2000 – 2009
- 2009
- [c13]Incheon Paik, Haruhiko Takada:
Modeling and Transforming Abstract Constraints for Automatic Service Composition. CIT (2) 2009: 136-141 - [c12]Haruhiko Takada, Incheon Paik:
Transformation of Intermediate Nonfunctional Properties for Automatic Service Composition. ICSOC/ServiceWave Workshops 2009: 218-227 - 2008
- [c11]Haruhiko Takada, Incheon Paik:
Design of General User Interface for Automatic Web Service Composition. FCST 2008: 75-78 - [c10]Incheon Paik, Haruhiko Takada, Michael N. Huhns:
Transforming Abstract QoS Requirements, Preferences, and Logic Constraints for Automatic Web Service Composition. ICWS 2008: 764-765 - 2007
- [j3]Incheon Paik, Hiroyuki Akimoto:
Ontology querying and its software component for design support in supply chains. Int. J. Agent Oriented Softw. Eng. 1(2): 244-259 (2007) - [c9]Incheon Paik, Daisuke Maruyama:
Automatic Web Services Composition Using Combining HTN and CSP. CIT 2007: 206-211 - [c8]Incheon Paik, Hiroto Suzuki:
Pattern Templates for Automating Business Choreography on Web Services. AINA Workshops (2) 2007: 512-517 - 2006
- [c7]Daisuke Maruyama, Incheon Paik, Mitsuteru Shinozawa:
A Flexible and Dynamic CSP Solver for Web Service Composition in the Semantic Web Environment. CIT 2006: 43 - [c6]Incheon Paik, Daisuke Maruyama, Michael N. Huhns:
A Framework for Intelligent Web Services: Combined HTN and CSP Approach. ICWS 2006: 959-962 - 2005
- [j2]Incheon Paik, Wonhee Park:
Software Component Architecture for an Information Infrastructure to Support Innovative Product Design in a Supply Chain. J. Organ. Comput. Electron. Commer. 15(2): 105-136 (2005) - [c5]Ken Nariai, Incheon Paik, Mitsuteru Shinozawa:
Planning and Composition of Web Services with Dynamic Constraints Using Situation Calculus. CIT 2005: 1009-1013 - [c4]Incheon Paik, Hiroyuki Akimoto:
Ontology Querying and Its Software Component for Design Support in Supply Chains. ICITA (1) 2005: 179-184 - 2004
- [c3]Incheon Paik, Md. Saidul Hossain, Md. Tofazzal Hossain:
Automating Business Transaction and Negotiation in Supply Chains Using Web Service Composition. CIT 2004: 248-253 - [c2]Incheon Paik, Shinjirou Takami, Yuu Watanabe:
Intelligent Agent to Support Design in Supply Chain Based on Semantic Web Services. HIS 2004: 254-259 - [c1]Incheon Paik, Hiroyuki Akimoto, Shinjirou Takami:
Automating Design Support in Supply Chains on Semantic Web Services. WWW Workshop on Application Design, Development and Implementation Issues in the Semantic Web 2004 - 2003
- [j1]Incheon Paik, Tongwon Han, Dongik Oh, Sangho Ha, Donggue Park:
An affiliated search system for an electronic commerce and software component architecture. Inf. Softw. Technol. 45(8): 479-497 (2003)
Coauthor Index
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