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Lecture
Semantic Web: Modeling and Ontologies
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Related lectures (53)
Connecting the Dots in Circular Lifecycle Management
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Explores Circular Lifecycle Management, Zero Defect Manufacturing, Big Data Analytics, and Predictive Maintenance in industrial processes.
Data Warehouses and Decision Support Systems
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Explores views in data warehouses, materialization tradeoffs, top-k queries optimizations, and the impact of column stores.
Distributed Information Systems: Overview and Models
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Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.
Knowledge Inference: Entity Disambiguation and Graph Embeddings
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Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.
Semantic Web Resources
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Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.
Semi-Structured Data
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Explores semi-structured data, embedding schema information to explain data values and relationships, discussing XML, schema-less data benefits, and serialization.
Closed-Loop Lifecycle Management
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Explores Closed-Loop Lifecycle Management, Circular Economy, and Zero Defect Manufacturing strategies for sustainable development.
Entity-Relationship Model
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Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.
Untitled
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Introduction to Data Science
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Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Introduction to Database Systems
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Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
OLAP Data Model: Multidimensional and Relational Approaches
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Explains OLAP data models, focusing on multidimensional and relational approaches.
Clustering Evaluation
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Explores clustering evaluation using the RAND index and ontologies, followed by classic clustering algorithms.
Information Extraction: Bootstrapping
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Explores Information Extraction approaches like hand-written patterns and distant supervision, with examples of entity pairs matching patterns.
Data Representation: Models and Systems
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Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.
Data Warehouses and Decision Support Systems
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Explores data warehouses, decision support systems, OLAP, data lakes, multidimensional data models, and query optimizations.
Introduction to Database Systems
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Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.
Phenomenological Applications of the Standard Model
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Explores the verification of the standard model through scattering experiments and the implications of minimal dark matter models.
Views: Simplifying SQL Queries
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Explores views in SQL, covering creation, materialization, maintenance, cube building, and top-k queries optimizations.
Distributed Information Systems: Overview and Course Information
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Covers key concepts of Distributed Information Systems and course logistics.
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