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Web information systems engineering -- WISE 2020 : 21st International Conference, Amsterdam, the Netherlands, October 20-24, 2020, Proceedings. Part II / Zhisheng Huang, Wouter Beek, Hua Wang, Rui Zhou, Yanchun Zhang (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12343. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham : Springer, 2020.Description: 1 online resource (620 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030620080
  • 3030620085
Other title:
  • WISE 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: Web Information Systems Engineering - WISE 2020 : 21st International Conference, Amsterdam, the Netherlands, October 20-24, 2020, Proceedings, Part II.DDC classification:
  • 004.678 23
LOC classification:
  • TA168 .I584 2020eb
Online resources:
Contents:
Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Information Extraction -- TaskGenie: Crowd-Powered Task Generation for Struggling Search -- 1 Introduction -- 2 Related Literature -- 3 Task Generation Framework -- 3.1 Intuition and Method -- 3.2 TaskGenie -- A Crowd-Powered Platform -- 3.3 System Implementation -- 4 Study Design -- 4.1 Task Generation -- 4.2 Task Evaluation -- 5 Task Evaluation Results -- 5.1 Topical Characteristics -- 5.2 Query Characteristics -- 5.3 Clicks Characteristics -- 5.4 Task Difficulty Analysis -- 5.5 Publicly Released Task Set
6 Discussion -- 7 Conclusions and Future Work -- References -- Search Engine Similarity Analysis: A Combined Content and Rankings Approach -- 1 Introduction -- 2 Background and Related Work -- 3 The Metric -- 3.1 Problem Formulation -- 3.2 Starting Point -- 3.3 Calculation of Penalties -- 3.4 Similarity Boosting -- 3.5 The Metric T -- 3.6 Comparison with Other Metrics -- 4 Evaluation -- 4.1 Dataset -- 4.2 RQ1: Similarity of Search Engines -- 4.3 RQ2: Consistency of Search Engines -- 4.4 RQ3: Impact of Snippets, Titles, and Transpositions
4.5 RQ4: Search Engine Similarity in Different Search Services -- 4.6 RQ5: Comparison with Other Approaches -- 4.7 Threats to Validity -- 5 Conclusions and Discussion -- References -- Evaluating Similarity Measures for Dataset Search -- 1 Introduction -- 2 Preliminaries -- 2.1 Similarity Measures -- 2.2 Evaluation Measures for Information Retrieval -- 3 Similarity Measure and Evaluation Measure -- 3.1 Similarity Between Sets of Concepts -- 3.2 Evaluation Measure -- 4 Experiments and Results -- 4.1 Data Selection -- 4.2 Extract Terms from Query or Dataset -- 4.3 Similarity Experiments
4.4 Experimental Results -- 5 Discussion and Conclusion -- References -- Towards Efficient Retrieval of Top-k Entities in Systems of Engagement -- 1 Introduction -- 2 Context of the Problem -- 3 Top-K Query Processing Schemes -- 4 The HI-TREE Index for Computing Relevance Scores -- 5 Performance Evaluation -- 6 Conclusion -- References -- A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization -- 1 Introduction -- 2 Background -- 2.1 Compare-Aggregate Model -- 2.2 External Knowledge -- 3 Approach -- 3.1 Problem Formulation -- 3.2 Sentence Relevance Scorer
3.3 Sentence Selection -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Baselines -- 4.3 Evaluation Results -- 5 Related Work -- 5.1 Unsupervised Methods -- 5.2 Supervised Methods -- 5.3 Semi-supervised Methods -- 6 Conclusion and Future Work -- References -- An Active Learning Based Hybrid Neural Network for Joint Information Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Formulation -- 2.2 Related Work -- 3 The Framework -- 4 Joint IE Model -- 4.1 Word Embedding Layer -- 4.2 Bidirectional LSTM Encoding Layer -- 4.3 Graph Attention Network Layer
Summary: This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020. The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Information Extraction -- TaskGenie: Crowd-Powered Task Generation for Struggling Search -- 1 Introduction -- 2 Related Literature -- 3 Task Generation Framework -- 3.1 Intuition and Method -- 3.2 TaskGenie -- A Crowd-Powered Platform -- 3.3 System Implementation -- 4 Study Design -- 4.1 Task Generation -- 4.2 Task Evaluation -- 5 Task Evaluation Results -- 5.1 Topical Characteristics -- 5.2 Query Characteristics -- 5.3 Clicks Characteristics -- 5.4 Task Difficulty Analysis -- 5.5 Publicly Released Task Set

6 Discussion -- 7 Conclusions and Future Work -- References -- Search Engine Similarity Analysis: A Combined Content and Rankings Approach -- 1 Introduction -- 2 Background and Related Work -- 3 The Metric -- 3.1 Problem Formulation -- 3.2 Starting Point -- 3.3 Calculation of Penalties -- 3.4 Similarity Boosting -- 3.5 The Metric T -- 3.6 Comparison with Other Metrics -- 4 Evaluation -- 4.1 Dataset -- 4.2 RQ1: Similarity of Search Engines -- 4.3 RQ2: Consistency of Search Engines -- 4.4 RQ3: Impact of Snippets, Titles, and Transpositions

4.5 RQ4: Search Engine Similarity in Different Search Services -- 4.6 RQ5: Comparison with Other Approaches -- 4.7 Threats to Validity -- 5 Conclusions and Discussion -- References -- Evaluating Similarity Measures for Dataset Search -- 1 Introduction -- 2 Preliminaries -- 2.1 Similarity Measures -- 2.2 Evaluation Measures for Information Retrieval -- 3 Similarity Measure and Evaluation Measure -- 3.1 Similarity Between Sets of Concepts -- 3.2 Evaluation Measure -- 4 Experiments and Results -- 4.1 Data Selection -- 4.2 Extract Terms from Query or Dataset -- 4.3 Similarity Experiments

4.4 Experimental Results -- 5 Discussion and Conclusion -- References -- Towards Efficient Retrieval of Top-k Entities in Systems of Engagement -- 1 Introduction -- 2 Context of the Problem -- 3 Top-K Query Processing Schemes -- 4 The HI-TREE Index for Computing Relevance Scores -- 5 Performance Evaluation -- 6 Conclusion -- References -- A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization -- 1 Introduction -- 2 Background -- 2.1 Compare-Aggregate Model -- 2.2 External Knowledge -- 3 Approach -- 3.1 Problem Formulation -- 3.2 Sentence Relevance Scorer

3.3 Sentence Selection -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Baselines -- 4.3 Evaluation Results -- 5 Related Work -- 5.1 Unsupervised Methods -- 5.2 Supervised Methods -- 5.3 Semi-supervised Methods -- 6 Conclusion and Future Work -- References -- An Active Learning Based Hybrid Neural Network for Joint Information Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Formulation -- 2.2 Related Work -- 3 The Framework -- 4 Joint IE Model -- 4.1 Word Embedding Layer -- 4.2 Bidirectional LSTM Encoding Layer -- 4.3 Graph Attention Network Layer

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed January 6, 2021).

This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020. The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications.

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