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Chapter and Conference Paper
CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method
Data repairing aims at discovering and correcting erroneous data in databases. Traditional methods relying on predefined quality rules to detect the conflict between data may fail to choose the right way to fi...
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Chapter and Conference Paper
CTextEM: Using Consolidated Textual Data for Entity Matching
Entity Matching (EM) identifies records referring to the same entity within or across databases. Existing methods using structured attribute values (such as digital, date or short string values) only may fail ...
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Chapter and Conference Paper
Measuring Semantic Relatedness with Knowledge Association Network
Measuring semantic relatedness between two words is a fundamental task for many applications in both databases and natural language processing domains. Conventional methods mainly utilize the latent semantic info...
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Chapter and Conference Paper
SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment
We consider the problem of entity alignment in knowledge graphs. Previous works mainly focus on two aspects: One is to improve the TransE-based models which mostly only consider triple-level structural informa...
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Chapter and Conference Paper
Fine-Grained Entity Ty** for Relation-Sparsity Entities
This paper works on fine-grained entity ty** without using external knowledge for Knowledge Graphs (KGs). Aiming at identifying the semantic type of an entity, this task has been studied predominantly in KGs...
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Chapter and Conference Paper
Multimodal Named Entity Recognition with Image Attributes and Image Knowledge
Multimodal named entity extraction is an emerging task which uses both textual and visual information to detect named entities and identify their entity types. The existing efforts are often flawed in two aspe...