Knowlege Graph about AI Research, built via web scraping, entity resolution, external KG linkage, ontology generation and RDF deployment. Includes PageRank, Topic Modeling, Recommender System and UI.
Identifying matching entities in noisy datasets generated from web scraping, then merging the datasets and creating an unifying ontology.
Cross-source entity resolution with Probabilistic Soft Logic (PSL), employing external attributes for collective entity resolution.
Creating various Knowledge Graph embeddings based on differing archictures, then generating probabilistic inference from them.
Training a Neural Network to selectively apply extractors to text for automated information mining.
Leveraging lexical and syntactical text attributes for information extraction on unstructured web data.