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Knowledge Science, Engineering and Management

12th International Conference, KSEM 2019, Athens, Greece, August 28–30, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Christos Douligeris

    1. University of Piraeus, Piraeus, Greece

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  2. Dimitris Karagiannis

    1. University of Vienna, Vienna, Austria

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  3. Dimitris Apostolou

    1. University of Piraeus, Piraeus, Greece

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11775)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KSEM 2019.

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Table of contents (75 papers)

  1. Front Matter

    Pages i-xxii
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  2. Formal Reasoning and Ontologies

    1. Front Matter

      Pages 1-1
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    2. Centralized Reasoning Translation and Its Computing Complexity for Heterogeneous Semantic Mappings

      • Xiaofei Zhao, Zhiyong Feng
      Pages 3-14

    3. Inconsistency Handling for Partially Preordered Ontologies: Going Beyond Elect

      • Sihem Belabbes, Salem Benferhat
      Pages 15-23

    4. Semantic Modeling of Textual Relationships in Cross-modal Retrieval

      • Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Zhiguo Shi
      Pages 24-32

    5. A Smart Search-Based Ontology Visualization Tool Using SPARQL Patterns

      • Mariem Neji, Fatma Ghorbel, Bilel Gargouri
      Pages 33-44

  3. Recommendation Algorithms and Systems

    1. Front Matter

      Pages 45-45
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    2. PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation

      • Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du
      Pages 47-59

    3. Social-Aware and Sequential Embedding for Cold-Start Recommendation

      • Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao
      Pages 60-71

    4. Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention

      • Xing Wei, Xianglin Zuo, Bo Yang
      Pages 72-83

    5. Multi-attention Item Recommendation Model Based on Social Relations

      • Yuan Li, Kedian Mu
      Pages 84-95

    6. A Network Embedding and Clustering Algorithm for Expert Recommendation Service

      • Xiaolong Xu, Weijie Yuan
      Pages 96-108

    7. Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network

      • Enhan Liu, Yan Chu, Lan Luan, Guang Li, Zhengkui Wang
      Pages 109-117

    8. 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
      Pages 118-127

    9. NRSA: Neural Recommendation with Summary-Aware Attention

      • Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao
      Pages 128-140

    10. Paper Recommendation with Item-Level Collaborative Memory Network

      • Mei Yu, Yue Hu, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu et al.
      Pages 141-152

  4. Social Knowledge Analysis and Management

    1. Front Matter

      Pages 153-153
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    2. UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation

      • Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan
      Pages 155-167

    3. A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes

      • Dongxiao He, Yue Song, Di Jin
      Pages 168-175

    4. Location-Interest-Aware Community Detection for Mobile Social Networks Based on Auto Encoder

      • Ming Chen, Wenzhong Li, Sanglu Lu, Daoxu Chen
      Pages 176-184
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Other volumes

  1. Knowledge Science, Engineering and Management

  2. Knowledge Science, Engineering and Management

Keywords

About this book

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. 

Editors and Affiliations

  • University of Piraeus, Piraeus, Greece

    Christos Douligeris, Dimitris Apostolou

  • University of Vienna, Vienna, Austria

    Dimitris Karagiannis

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