- User Guidance for Efficient Fact Checking [PDF]
- Efficient Knowledge Graph Accuracy Evaluation [PDF] [techical reprot]
- Snuba: Automating Weak Supervision to Label Training Data [PDF]
- Ontology-based Entity Matching in Attributed Graphs [PDF, more similar to a graph paper]
- Meta-Mappings for Schema Mapping Reuse [PDF]
- Subjective Databases [PDF]
- Embedded Functional Dependencies and Data-completeness Tailored Database Design [PDF]
- Tutorial: Combating Fake News: A Data Management and Mining Perspective [Link]
- Tutorial: Data Lake Management: Challenges and Opportunities [Link]
- Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases [PDF, demo]
- Spade: A Modular Framework for Analytical Exploration of RDF Graphs [PDF, demo]
- SystemER: A Human-in-the-loop System for Explainable Entity Resolution [PDF, demo]
- PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration [PDF, demo]
Some interesting papers in other topics:
- A Distributed System for Large-scale n-gram Language Models at Tencent [PDF, industrial track]
- Rafiki: Machine Learning as an Analytics Service System [PDF]
- Local Algorithms for Hierarchical Dense Subgraph Discovery [PDF]
- Towards a Unified Framework for String Similarity Joins [PDF]
- Efficient Algorithms for Densest Subgraph Discovery [PDF]
- Exploring Change – A New Dimension of Data Analytics [PDF]
- Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks [Paper, Presentation]
- KGAT: Knowledge Graph Attention Network for Recommendation [Paper, Presentation]
- Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems [Paper, Presentation]
- The Role of “Condition”: A Novel Scientific Knowledge Graph Representation and Construction Model [Paper, Presentation]
- Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts[Paper, Presentation]
- AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation [Paper, applied science track]
- Constructing High Precision Knowledge Bases with Subjective and Factual Attributes [Paper, Presentation, applied science track]
- Towards Knowledge-Based Personalized Product Description Generation in E-commerce [Paper, applied science track]
- How to Invest my Time: Lessons from HITL Entity Extraction [Presentation, applied science track]
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs [Paper, applied science track]
- Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment [PDF]
- HoloDetect: Few-Shot Learning for Error Detection [PDF]
- Entity Matching Meets Data Science: A Progress Report from the Magellan Project [PDF, industrial track]
- Automatically Generating Interesting Facts from Wikipedia Tables [PDF, industrial track]
Some interesting papers in other topics:
- Answering Why-questions by Exemplars in Attributed Graphs [PDF]
- DeepBase: Deep Inspection of Neural Networks [PDF]
- Verifying Text Summaries of Relational Data Sets [PDF]
- An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning [PDF]
- SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning [PDF][VLDB2018 short version]
- AI Meets AI: Leveraging Query Executions to Improve Index Recommendations [PDF]
- PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs [PDF]
- Unsupervised String Transformation Learning for Entity Consolidation [PDF]
- MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps [PDF]
- NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding [PDF]
- Knowledge Graphs and Enterprise AI: The Promise of an Enabling Technology [PDF, keynote]
- Canonicalization of Open Knowledge Bases with Side Information from the Source Text [PDF]
- Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms [PDF]
- WebPut: A Web-Aided Data Imputation System for the General Type of Missing String Attribute Values [PDF, demo]
- EXPLAINER: Entity Resolution Explanations [PDF, best demo]
- Demonstrating Spindra: A Geographic Knowledge Graph Management System [PDF, demo]
- Entity Integrity, Referential Integrity, and Query Optimization with Embedded Uniqueness Constraints [Paper, short paper]
- Top-K Entity Resolution with Adaptive Locality-Sensitive Hashing [Paper, short paper]
Some interesting papers in other topics:
- Answering Why-Questions for Subgraph Queries in Multi-Attributed Graphs [PDF]
- A semi-supervised framework of clustering selection for de-duplication [PDF]
- An Efficient Parallel Keyword Search Engine on Knowledge Graphs [PDF]
- Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks [PDF]
- Finding Densest Lasting Subgraphs in Dynamic Graphs: a Stochastic Approach [PDF]
- Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment [PDF]
- Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach [Paper]
- RecovDB: accurate and efficient missing blocks recovery for large time series [Paper, demo]
- AI Pro: Data Processing Framework for AI Models [PDF, demo]
- Collective Keyword Query on a Spatial Knowledge Base
- Distribution-Aware Crowdsourced Entity Collection
- Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
- Schema-Agnostic Progressive Entity Resolution
- Normalization of Duplicate Records from Multiple Sources
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