Knowledge Science, Engineering and Management: 12th International Conference, KSEM 2019, Athens, Greece, August 28-30, 2019, Proceedings, Part I

Description

This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019.
The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications.
The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.

Table of Contents

1. Formal Reasoning and Ontologies
2. Centralized Reasoning Translation and Its Computing Complexity for Heterogeneous Semantic Mappings – Xiaofei Zhao, Zhiyong Feng
3. Inconsistency Handling for Partially Preordered Ontologies: Going Beyond Elect – Sihem Belabbes, Salem Benferhat
4. Semantic Modeling of Textual Relationships in Cross-modal Retrieval – Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Zhiguo Shi
5. A Smart Search-Based Ontology Visualization Tool Using SPARQL Patterns – Mariem Neji, Fatma Ghorbel, Bilel Gargouri
6. Recommendation Algorithms and Systems
7. PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation – Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du
8. Social-Aware and Sequential Embedding for Cold-Start Recommendation – Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao
9. Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention – Xing Wei, Xianglin Zuo, Bo Yang
10. Multi-attention Item Recommendation Model Based on Social Relations – Yuan Li, Kedian Mu
11. A Network Embedding and Clustering Algorithm for Expert Recommendation Service – Xiaolong Xu, Weijie Yuan
12. Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network – Enhan Liu, Yan Chu, Lan Luan, Guang Li, Zhengkui Wang
13. SCCF Parameter and Similarity Measure Optimization and Evaluation – Wissam Al Jurdi, Chady Abou Jaoude, Miriam El Khoury Badran, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul
14. NRSA: Neural Recommendation with Summary-Aware Attention – Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao
15. Paper Recommendation with Item-Level Collaborative Memory Network – Mei Yu, Yue Hu, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu et al.
16. Social Knowledge Analysis and Management
17. UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation – Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan
18. A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes – Dongxiao He, Yue Song, Di Jin
19. Location-Interest-Aware Community Detection for Mobile Social Networks Based on Auto Encoder – Ming Chen, Wenzhong Li, Sanglu Lu, Daoxu Chen
20. Retweet Prediction Using Context-Aware Coupled Matrix-Tensor Factorization – Bo Jiang, Feng Yi, Jianjun Wu, Zhigang Lu
21. A New Multi-objective Evolution Model for Community Detection in Multi-layer Networks – Xuejiao Chen, Xianghua Li, Yue Deng, Siqi Chen, Chao Gao
22. Jointly Modeling Community and Topic in Social Network – Yunlei Zhang, Nianwen Ning, Jinna Lv, Chenguang Song, Bin Wu
23. A Social Relationships Enhanced Credit Risk Assessment Approach – Caihong Sun, Chengcheng Deng, Wei Xu, Jun Su
24. Context Aware Community Formation for MAS-Oriented Collective Adaptive System – Wei Liu, Jingzhi Guo, Longlong Xu, Deng Chen
25. Data Processing and Data Mining
26. ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques – Silvana Albert, Gabriela Czibula
27. Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code – Diana-Lucia Miholca, Gabriela Czibula
28. A Novel Method for Highly Imbalanced Classification with Weighted Support Vector Machine – Biao Qi, Jianguo Jiang, Zhixin Shi, Meimei Li, Wei Fan
29. A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students – Liana Maria Crivei, Gabriela Czibula, Andrei Mihai
30. Strict Subspace and Label-Space Structure for Domain Adaptation – Ying Li, Pei Zhang, Lin Cheng, Yaxin Peng, Chaomin Shen
31. Multi-view Locality Preserving Embedding with View Consistent Constraint for Dimension Reduction – Yun He, Weiling Cai, Ming Yang, Fengyi Song
32. Research on Ship Classification Based on Trajectory Association – Tao Zhang, Shuai Zhao, Junliang Chen
33. Learning a Subclass of Deterministic Regular Expression with Counting – Xiaofan Wang, Haiming Chen
34. Aggregately Regularized Multi-task Matrix Factorization for Household Energy Breakdown – Hongtao Wang, Miao Zhao, Chunlan Niu, Hongmei Wang
35. Learning Continuous User and Item Representations for Neural Collaborative Filtering – Qinglin Jia, Xiao Su, Zhonghai Wu
36. Partial Alignment of Data Sets Based on Fast Intrinsic Feature Match – Yaxin Peng, Naiwu Wen, Xiaohuang Zhu, Chaomin Shen
37. Image and Video Data Analysis
38. Implicit Rating Methods Based on Interest Preferences of Categories for Micro-Video Recommendation – Jie Chen, Junjie Peng, Lizhe Qi, Gan Chen, Wenqiang Zhang
39. An Enhanced Deep Hashing Method for Large-Scale Image Retrieval – Cong Chen, Weiqin Tong, Xuehai Ding, Xiaoli Zhi
40. Spatio-Temporal Correlation Graph for Association Enhancement in Multi-object Tracking – Zhijie Zhong, Hao Sheng, Yang Zhang, Yubin Wu, Jiahui Chen, Wei Ke
41. Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope – Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu
42. Deep Learning
43. DST: A Deep Urban Traffic Flow Prediction Framework Based on Spatial-Temporal Features – Jingyuan Wang, Yukun Cao, Ye Du, Li Li
44. Small-Scale Data Classification Based on Deep Forest – Meiyang Zhang, Zili Zhang
45. A Text Annotation Tool with Pre-annotation Based on Deep Learning – Fei Teng, Minbo Ma, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li
46. Object Detection by Combining Deep Dilated Convolutions Network and Light-Weight Network – Yu Quan, Zhixin Li, Canlong Zhang
47. D3N: DGA Detection with Deep-Learning Through NXDomain – Mingkai Tong, Xiaoqing Sun, Jiahai Yang, Hui Zhang, Shuang Zhu, Xinran Liu et al.
48. Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities – Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li
49. State Representation Learning for Minimax Deep Deterministic Policy Gradient – Dapeng Hu, Xuesong Jiang, Xiumei Wei, Jian Wang
50. Low-Sampling Imagery Data Recovery by Deep Learning Inference and Iterative Approach – Jiping Lin, Yu Zhou, Junhao Kang
51. Knowledge Graph and Knowledge Management
52. Enhancing Graph-Based Keywords Extraction with Node Association – Huifang Ma, Shuang Wang, Miao Li, Ning Li
53. TransI: Translating Infinite Dimensional Embeddings Based on Trend Smooth Distance – Xiaobo Guo, Neng Gao, Lei Wang, Xin Wang
54. A Knowledge-Based Conceptual Modelling Approach to Bridge Design Thinking and Intelligent Environments – Michael Walch, Takeshi Morita, Dimitris Karagiannis, Takahira Yamaguchi
55. Named Entity Recognition in Traditional Chinese Medicine Clinical Cases Combining BiLSTM-CRF with Knowledge Graph – Zhe Jin, Yin Zhang, Haodan Kuang, Liang Yao, Wenjin Zhang, Yunhe Pan
56. Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding – Shoukang Han, Xiaobo Guo, Lei Wang, Zeyi Liu, Nan Mu
57. Entity Linking Based on Graph Model and Semantic Representation – Ningyu Ma, Xiao Liu, Yulun Gao
58. The Model-Driven Enterprise Data Fabric: A Proposal Based on Conceptual Modelling and Knowledge Graphs – Ana-Maria Ghiran, Robert Andrei Buchmann
59. Leveraging User Preferences for Community Search via Attribute Subspace – Haijiao Liu, Huifang Ma, Yang Chang, Zhixin Li, Wenjuan Wu
60. Knowledge Graph and Knowledge Management
61. Visualization of Customer Satisfaction Linked to Behavior Using a Process-Based Web Questionnaire – Hisashi Masuda, Wilfrid Utz
62. A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems – Wafa Wali, Fatma Ghorbel, Bilel Gragouri, Fayçal Hamdi, Elisabeth Metais
63. From Attribute Relationship Diagrams to Process (BPMN) and Decision (DMN) Models – Krzysztof Kluza, Piotr Wiśniewski, Weronika T. Adrian, Antoni Ligęza
64. Building Chinese Legal Hybrid Knowledge Network – Sheng Bi, Yanhui Huang, Xiya Cheng, Meng Wang, Guilin Qi
65. Machine Learning
66. Evidential Artificial Immune Recognition System – Abir Lahsoumi, Zied Elouedi
67. Gated Self-attentive Encoder for Neural Machine Translation – Xiangpeng Wei, Yue Hu, Luxi Xing
68. RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis – Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai
69. An Evidential Semi-supervised Label Aggregation Approach – Lina Abassi, Imen Boukhris
70. Improved Feature Selection Algorithm for Biological Sequences Classification – Naoual Guannoni, Faouzi Mhamdi, Mourad Elloumi
71. DRAM: A Deep Reinforced Intra-attentive Model for Event Prediction – Shuqi Yu, Linmei Hu, Bin Wu
72. Permission-Based Feature Scaling Method for Lightweight Android Malware Detection – Dali Zhu, Tong Xi
73. Agile Query Processing in Statistical Databases: A Process-In-Memory Approach – Shanshan Lu, Peiquan Jin, Lin Mu, Shouhong Wan
74. Enhancing the Conciseness of Linked Data by Discovering Synonym Predicates – Subhi Issa, Fayçal Hamdi, Samira Si-said Cherfi
75. A Comparative Analysis Methodology for Process Mining Software Tools – Panagiotis Drakoulogkonas, Dimitrios Apostolou
76. Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning – Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao
77. IDML: IDentifier-Based Markup Language for Resource-Constrained Smart Objects in WoT – Wuming Luo
78. Understanding Decision Model and Notation: DMN Research Directions and Trends – Krzysztof Kluza, Weronika T. Adrian, Piotr Wiśniewski, Antoni Ligęza
79. Data and Knowledge: An Interdisciplinary Approach for Air Quality Forecast – Cheng Feng, Wendong Wang, Ye Tian, Xiangyang Gong, Xirong Que
80. Knowledge Engineering Applications
81. A Multi-label Active Learning Approach for Mobile App User Review Classification – Montassar Ben Messaoud, Ilyes Jenhani, Nermine Ben Jemaa, Mohamed Wiem Mkaouer
82. A Causality-Based Approach to Assessing Inconsistency for Multi-context Systems – Kedian Mu
83. Extracting Hidden Preferences over Partitions in Hedonic Cooperative Games – Athina Georgara, Dimitrios Troullinos, Georgios Chalkiadakis
84. Agent-Based Approach for Inventory Pre- and Post-disruption Decision Support – Maroua Kessentini, Narjes Bellamine Ben Saoud, Sami Sboui
85. Correction to: Spatio-Temporal Correlation Graph for Association Enhancement in Multi-object Trackin – Zhijie Zhong, Hao Sheng, Yang Zhang, Yubin Wu, Jiahui Chen, Wei Ke

Editors Biography

University of Piraeus, Piraeus, Greece
Christos Douligeris, Dimitris Apostolou

University of Vienna, Vienna, Austria
Dimitris Karagiannis