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Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network

Recognizing ingredients for a given dish image is at the core of automatic dietary assessment, attracting increasing attention from both industry and academia. Nevertheless, the task is challenging due to the difficulty of collecting and labeling …

Predicting Concept-based Research Trends with Rhetorical Framing

Applying data mining techniques to help researchers discover, understand, and predict research trends is a highly beneficial but challenging task. The existing researches mainly use topics extracted from literatures as objects to build predicting …

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation

Massive Open Online Courses (MOOCs), offering a new way to study online, are revolutionizing education. One challenging issue in MOOCs is how to design effective and fine-grained course concepts such that students with different backgrounds can grasp …

Prerequisite Relation Learning for Concepts in MOOCs

What prerequisite knowledge should students achieve a level of mastery before moving forward to learn subsequent coursewares? We study the extent to which the prerequisite relation between knowledge concepts in Massive Open Online Courses (MOOCs) can …

Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding

The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream multi-lingual ontologies based on online wikis still face the limited coverage of …

Boosting to Build a Large-Scale Cross-Lingual Ontology

The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream Wikipedia-based multi-lingual ontologies still face the following problems: the scarcity of …

RiMOM results for OAEI 2016

This paper presents the results of RiMOM in the Ontology Alignment Evaluation Initiative (OAEI) 2016. RiMOM participated in all three tracks of Instance Matching this year. In this paper, we first describe the overall framework of our system (RiMOM). …