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  • Conference proceedings
  • © 2019

Knowledge Science, Engineering and Management

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11776)

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

Conference series link(s): KSEM: International Conference on Knowledge Science, Engineering and Management

Conference proceedings info: KSEM 2019.

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Table of contents (37 papers)

  1. Front Matter

    Pages I-XXI
  2. Probabilistic Models and Applications

    1. Front Matter

      Pages 1-1
    2. TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM

      • Can Li, Ling Xu, Meng Yan, JianJun He, Zuli Zhang
      Pages 11-24
    3. Application of Probabilistic Process Model for Smart Factory Systems

      • Junsup Song, Yeongbok Choe, Moonkun Lee
      Pages 25-36
    4. A Distributed Topic Model for Large-Scale Streaming Text

      • Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li
      Pages 37-48
    5. Overview of Generation Methods for Business Process Models

      • Piotr Wiśniewski, Krzysztof Kluza, Krystian Jobczyk, Bernadetta Stachura-Terlecka, Antoni Ligęza
      Pages 55-60
  3. Text Mining and Document Analysis

    1. Front Matter

      Pages 61-61
    2. Dynamic Task-Specific Factors for Meta-Embedding

      • Yuqiang Xie, Yue Hu, Luxi Xing, Xiangpeng Wei
      Pages 63-74
    3. Automated Mining and Checking of Formal Properties in Natural Language Requirements

      • Xingxing Pi, Jianqi Shi, Yanhong Huang, Hansheng Wei
      Pages 75-87
    4. A Shallow Semantic Parsing Framework for Event Argument Extraction

      • Zhunchen Luo, Guobin Sui, He Zhao, Xiaosong Li
      Pages 88-96
    5. Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings

      • Wael Alkhatib, Steffen Schnitzer, Christoph Rensing
      Pages 97-104
    6. Text-Based Fusion Neural Network for Rumor Detection

      • Yixuan Chen, Liang Hu, Jie Sui
      Pages 105-109
    7. Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination

      • Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Gang He, Ning Jiang, Gang He et al.
      Pages 110-114
    8. Word Embeddings for Unsupervised Named Entity Linking

      • Debora Nozza, Cezar Sas, Elisabetta Fersini, Enza Messina
      Pages 115-132
    9. Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint

      • Ting Tuo, Huifang Ma, Zhixin Li, Xianghong Lin
      Pages 133-145
    10. A New Method for Complex Triplet Extraction of Biomedical Texts

      • Xiao Wang, Qing Li, Xuehai Ding, Guoqing Zhang, Linhong Weng, Minjie Ding
      Pages 146-158
    11. Assessing Semantic Similarity Between Concepts Using Wikipedia Based on Nonlinear Fitting

      • Guangjian Huang, Yuncheng Jiang, Wenjun Ma, Weiru Liu
      Pages 159-171
    12. A Two-Stage Model Based on BERT for Short Fake News Detection

      • Chao Liu, Xinghua Wu, Min Yu, Gang Li, Jianguo Jiang, Weiqing Huang et al.
      Pages 172-183

Other Volumes

  1. Knowledge Science, Engineering and Management

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. 

Keywords

  • classification
  • classification accuracy
  • data mining
  • image processing
  • information retrieval
  • knowledge-based system
  • learning algorithms
  • natural language processing systems
  • neural networks
  • probability recommender systems
  • search engines semantics
  • signal processing
  • social networks
  • support vector machines SVM
  • world wide web
  • algorithm analysis and problem complexity

Editors and Affiliations

  • University of Piraeus, Piraeus, Greece

    Christos Douligeris, Dimitris Apostolou

  • University of Vienna, Vienna, Austria

    Dimitris Karagiannis

Bibliographic Information

Buying options

eBook USD 69.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-29563-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 89.99
Price excludes VAT (USA)