عنوان
پدید آورنده
موضوع
رده
QA76.5913
QA76
.
5913
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789811331466
(Number (ISBN
9789811331473
(Number (ISBN
9811331464
(Number (ISBN
9811331472
Erroneous ISBN
9789811331459
Erroneous ISBN
9811331456
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Knowledge graph and semantic computing :
General Material Designation
[Book]
Other Title Information
knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised selected papers /
First Statement of Responsibility
Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li (eds.).
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xvi, 143 pages) :
Other Physical Details
illustrations (some color)
SERIES
Series Title
Communications in computer and information science,
Volume Designation
957
ISSN of Series
1865-0929 ;
GENERAL NOTES
Text of Note
Includes author index.
CONTENTS NOTE
Text of Note
Intro; Preface; Organization; Contents; Towards Answering Geography Questions in Gaokao: A Hybrid Approach; 1 Introduction; 2 Challenges and Related Work; 3 Overview of the Approach; 4 Detailed Implementation; 4.1 Question Parsing; 4.2 Knowledge Graph Construction; 4.3 Semantic Matching; 4.4 Spreading Activation and Answer Generation; 5 Evaluation; 5.1 Evaluation of the Entire Approach; 5.2 Evaluation of Components; 6 Future Directions; References; Distant Supervision for Chinese Temporal Tagging; Abstract; 1 Introduction; 2 Related Works; 3 Methodology; 3.1 Task Description
Text of Note
3 Problem Formulation and Model Overview3.1 Problem Formulation; 3.2 Overview of STBNet; 4 Method; 4.1 Semantic Embedding; 4.2 Text Embedding for Ontology Stream; 4.3 Semantic Prediction; 5 Experiments; 5.1 Dataset and Setup; 5.2 Training and Evaluation; 5.3 Experiment Results; 6 Conclusion and Future Work; References; DSKG: A Deep Sequential Model for Knowledge Graph Completion; 1 Introduction; 2 Related Work; 2.1 TransE-Like Models; 2.2 Other Models; 3 Methodology; 3.1 RNN and Its Multi-layer Version; 3.2 The Proposed Deep Sequential Model; 3.3 Type-Based Sampling
Text of Note
3.2 Train Set Construction3.3 Sequence Labeling Model; 4 Experiments and Analysis; 4.1 Model Settings; 4.2 Experiment Grouping; 4.3 Results and Analysis; 5 Conclusion and Future Work; References; Convolutional Neural Network-Based Question Answering Over Knowledge Base with Type Constraint; Abstract; 1 Introduction; 2 Related Work; 3 Approach; 3.1 Model Description; 3.2 Training; 4 Experiments; 4.1 Data and Evaluation Metric; 4.2 Experimental Settings; 4.3 Results; 4.4 Error Analysis; 5 Conclusion; Acknowledgements; References
Text of Note
3.4 Enhancing Entity Prediction with Relation Prediction4 Experiments; 4.1 Datasets and Experiment Settings; 4.2 Entity Prediction; 4.3 Triple Prediction; 5 Analysis; 5.1 Comparison with Alternative Models; 5.2 Influence of Layer Number; 5.3 Influence of Embedding Size; 6 Conclusion and Future Work; References; Pattern Learning for Chinese Open Information Extraction; 1 Introduction; 2 Related Work; 3 Issues and Solutions; 3.1 Trans-Classed Word; 3.2 Light Verb Construction; 4 PLCOIE System; 4.1 Pattern Learning; 4.2 Relation Candidates Extraction; 4.3 Computing the Confidence
Text of Note
MMCRD: An Effective Algorithm for Deploying Monitoring Point on Social Network1 Introduction; 2 Related Work; 3 Problem Formulation; 3.1 Deploy Monitoring Points on Social Network; 3.2 Set Cover Problem Formulation; 4 MMCRD for Monitoring Point Deployment; 5 Experiment and Evaluation; 5.1 Dataset Description; 5.2 Experiments; 6 Conclusion and Future Work; References; Deep Learning for Knowledge-Driven Ontology Stream Prediction; 1 Introduction; 2 Related Work; 2.1 Ontology Stream Learning Problems; 2.2 Text Stream Learning; 2.3 Time Series Forecasting Models
0
8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018. The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811331466
OTHER EDITION IN ANOTHER MEDIUM
Title
Knowledge graph and semantic computing.
International Standard Book Number
9789811331459
PARALLEL TITLE PROPER
Parallel Title
CCKS 2018
TOPICAL NAME USED AS SUBJECT
Big data, Congresses.
Knowledge representation (Information theory), Congresses.
Semantic computing, Congresses.
Big data.
Knowledge representation (Information theory)
Semantic computing.
(SUBJECT CATEGORY (Provisional
COM004000
UYQ
UYQ
DEWEY DECIMAL CLASSIFICATION
Number
006
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
5913
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Han, Xianpei
Li, Xianyong
Tang, Jie, (Computer scientist)
Van Harmelen, Frank
Wang, Quan
Zhao, Jun, (College teacher)
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
CCKS (Conference)(3rd :2018 :, Tianjin, China)
ORIGINATING SOURCE
Date of Transaction
20200823234712.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
