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Knowledge Representation

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Knowledge Representation

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Research Frontiers in Ontology Learning from Unstructured Text

Automated extraction and construction of formal ontologies from natural language documents using machine learning and NLP techniques.

Implicit Entity Boundaries in Open-Domain Text Extraction
Semantic Drift Detection Across Heterogeneous Corpus Domains
Hierarchical Concept Emergence from Weakly Annotated Corpora
Cross-Lingual Ontology Alignment Without Parallel Data
Temporal Ontology Evolution in Dynamic Text Streams
Relational Ambiguity Resolution in Knowledge Graph Induction
Context-Dependent Polysemy in Automated Taxonomy Construction
Discovering Hidden Concept Dependencies Through Text Mining
Ontological Brittleness Under Domain Shift and Noise
Multi-Granularity Knowledge Extraction from Unstructured Narratives

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