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000946813 020__ $$a9783030620080$$q(electronic book)
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000946813 0247_ $$a10.1007/978-3-030-62008-0$$2doi
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000946813 1112_ $$aInternational Conference on Web Information Systems Engineering$$n(21st :$$d2020 :$$cAmsterdam, Netherlands ; Leiden, Netherlands)
000946813 24510 $$aWeb information systems engineering -- WISE 2020 :$$b21st International Conference, Amsterdam, The Netherlands, October 20-24, 2020, Proceedings.$$nPart II /$$cZhisheng Huang, Wouter Beek, Hua Wang, Rui Zhou, Yanchun Zhang (eds.).
000946813 2463_ $$aWISE 2020
000946813 260__ $$aCham :$$bSpringer,$$c2020.
000946813 300__ $$a1 online resource (620 pages).
000946813 336__ $$atext$$btxt$$2rdacontent
000946813 337__ $$acomputer$$bc$$2rdamedia
000946813 338__ $$aonline resource$$bcr$$2rdacarrier
000946813 347__ $$bPDF$$2rda
000946813 347__ $$atext file$$2rdaft$$0http://rdaregistry.info/termList/fileType/1002
000946813 4901_ $$aLecture Notes in Computer Science ;$$v12343
000946813 4901_ $$aLNCS sublibrary, SL 3, Information Systems and Applications, incl. Internet/Web, and HCI
000946813 500__ $$aIncludes author index.
000946813 5050_ $$aIntro -- 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
000946813 5058_ $$a6 Discussion -- 7 Conclusions and Future Work -- References -- Search Engine Similarity Analysis: A Combined Content and Rankings Approach -- 1 Introduction -- 2 Background and Related Work -- 3 The Metric -- 3.1 Problem Formulation -- 3.2 Starting Point -- 3.3 Calculation of Penalties -- 3.4 Similarity Boosting -- 3.5 The Metric T -- 3.6 Comparison with Other Metrics -- 4 Evaluation -- 4.1 Dataset -- 4.2 RQ1: Similarity of Search Engines -- 4.3 RQ2: Consistency of Search Engines -- 4.4 RQ3: Impact of Snippets, Titles, and Transpositions
000946813 5058_ $$a4.5 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
000946813 5058_ $$a4.4 Experimental Results -- 5 Discussion and Conclusion -- References -- Towards Efficient Retrieval of Top-k Entities in Systems of Engagement -- 1 Introduction -- 2 Context of the Problem -- 3 Top-K Query Processing Schemes -- 4 The HI-TREE Index for Computing Relevance Scores -- 5 Performance Evaluation -- 6 Conclusion -- References -- A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization -- 1 Introduction -- 2 Background -- 2.1 Compare-Aggregate Model -- 2.2 External Knowledge -- 3 Approach -- 3.1 Problem Formulation -- 3.2 Sentence Relevance Scorer
000946813 5058_ $$a3.3 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
000946813 506__ $$aAccess limited to authorized users.
000946813 520__ $$aThis 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.
000946813 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 6, 2021).
000946813 650_0 $$aSystems engineering$$vCongresses.
000946813 650_0 $$aInformation storage and retrieval systems$$vCongresses.
000946813 650_0 $$aWeb databases$$vCongresses.
000946813 7001_ $$aHuang, Zhisheng$$c(Computer scientist)
000946813 7001_ $$aBeek, Wouter.
000946813 7001_ $$aWang, Hua.
000946813 7001_ $$aZhou, Rui.
000946813 7001_ $$aZhang, Yanchun.
000946813 7730_ $$tSpringer Nature eBook
000946813 77608 $$iPrint version:$$aHuang, Zhisheng$$tWeb Information Systems Engineering - WISE 2020 : 21st International Conference, Amsterdam, the Netherlands, October 20-24, 2020, Proceedings, Part II$$dCham : Springer International Publishing AG,c2020$$z9783030620073
000946813 830_0 $$aLecture notes in computer science ;$$v12343.
000946813 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
000946813 852__ $$bebk
000946813 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-62008-0$$zOnline Access$$91397441.1
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000946813 980__ $$aBIB
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000946813 983__ $$aOnline
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