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Related lectures (32)
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Data Modeling: Concepts and Tools
Covers data modeling in GIS and software engineering, including entity-relationship models, associations, and modeling tools.
Data Management: Overview
Introduces fundamental concepts of data management, including data models, databases, and key tasks.
Data Representation: Models and Systems
Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.
Mathematics of Data: Models and Learning
Explores models, learning paradigms, and applications in Mathematics of Data.
Digitized and Born-Digital Sources in History
Explores the practice of history using digitized and born-digital sources, heuristics, critique, synthesis, and big data for historical analysis.
Digital Humanities Lab: Practices
Introduces students to digital humanities through practical exercises, such as working on a large ongoing project.
Taxonomy Induction: Learning Concepts and Relationships
Explores taxonomy induction, learning relationships and concepts from documents.
Distributed Information Systems: Overview and Challenges
Covers Distributed Information Systems challenges, including autonomy, heterogeneity, trust evaluation, and privacy protection.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Semantic Web: Knowledge Graphs
Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.
