Semantic Web: Exercise Solutions

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Inference Engines: Resolution and Horn Clauses

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Knowledge Inference for Graphs

Explores knowledge inference for graphs, discussing label propagation, optimization objectives, and probabilistic behavior.

Semantic Web: Modeling and Ontologies

Explores the Semantic Web, database schemas, XML data model, and ontologies.

Link Prediction: Knowledge Inference

Discusses link prediction in knowledge graphs and models like TransE.

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning

Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.

Dictionary Operations

Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.

Python Crash Course

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.

Music Semantics: Problems and Prospects

Explores music semantics, discussing inferences triggered by different musical elements and proposing a framework for understanding music's meaning.

Tuples, Sets, and Dictionaries

Covers tuples, sets, and dictionaries in Python, explaining their similarities and differences, common operations, and key concepts.