Knowledge Graph and Semantic Computing: Language, Knowledge, and Intelligence

Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence: Second China Conference, CCKS 2017, Chengdu, China, August 26–29, 2017, … in Computer and Information Science)

This book constitutes the refereed proceedings of the Second China Conference on Knowledge Graph and Semantic Computing, CCKS 2017, held in Chengdu, China, in August 2017.

The 11 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers cover wide research fields including the knowledge graph, the Semantic Web, linked data, NLP, knowledge representation, graph databases.

Table of Contents

Chapter 1. Knowledge Base Completion by Learning to Rank Model
Chapter 2. Path-Based Learning for Plant Domain Knowledge Graph
Chapter 3. A Graph-Based Approach to Incremental Classification in OWL 2 QL Ontology
Chapter 4. Tensor-Based Representation and Reasoning of Horn-SHOIQ Ontologies
Chapter 5. Attention-Based Event Relevance Model for Stock Price Movement Prediction
Chapter 6. A Survey on Relation Extraction
Chapter 7. A Sentiment and Topic Model with Timeslice, User and Hashtag for Posts on Social Media
Chapter 8. Collective Entity Linking Based on DBpedia
Chapter 9. A CWTM Model of Topic Extraction for Short Text
Chapter 10. Micro-blog User Community Detection by Focusing on Micro-blog Content and Community Structure
Chapter 11. Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification
Chapter 12. Tracking Topic Trends for Short Texts
Chapter 13. BSBM+: Extending BSBM to Evaluate Annotated RDF Features on Graph Databases
Chapter 14. Detecting Spammers in Sina Micro-blog Based on Multiple Features
Chapter 15. A Hybrid Method to Sentiment Analysis for Chinese Microblog
Chapter 16. A User Personality-Similarity Model for Personalized Followee Recommendation in SINA Microblog
Chapter 17. CrowdGeoKG: Crowdsourced Geo-Knowledge Graph