Explores mining social graphs, regularization, community structures, and community detection algorithms in various applications.
Introduces the Girvan-Newman Algorithm for network decomposition based on edge betweenness and demonstrates its application in physics collaborations.
Explores semi-structured data, embedding schema information to explain data values and relationships, discussing XML, schema-less data benefits, and serialization.
Explores RDF syntax, schema properties, and classification of resources in the Semantic Web.
Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.
Covers keyphrase extraction, a method to extract important phrases from text for document summarization, indexing, and search.
