Intelligent identification of trademark case precedents using semantic ontology

Keyphrases

• Intellectual Property 100%
• Law 100%
• Legal Cases 100%
• Similar Cases 100%
• Semantic Ontology 100%
• Legal Action 100%
• Intelligent Recommender System 100%
• Intelligent Identification 100%
• Ontology Schema 50%
• Term Frequency-inverse Document Frequency (TF-IDF) 50%
• Text Mining 50%
• Feature-based 50%
• Experimental Dataset 50%
• Strategic Planning 50%
• Intellectual Property Rights 50%
• Products or Services 50%
• Legal Documents 50%
• Clustering Algorithm 50%
• Knowledge Representation 50%
• Semantic Analysis 50%
• Automatically Identify 50%
• Recommender 50%
• Latent Dirichlet Allocation 50%
• Semantic Network 50%
• Soft Clustering 50%
• District Court 50%
• Registered Trademark 50%
• Machine-readable 50%
• Judgment Documents 50%
• Legal Semantic Web 50%
• Legal Research 50%
• Action Planning 50%
• Federal Courts 50%
• Computer-assisted System 50%

Computer Science

• Ontology 100%
• Legal Action 100%
• Inverse Document Frequency 50%
• Text Mining 50%
• Strategic Planning 50%
• Clustering Algorithm 50%
• Recommender Systems 50%
• Latent Dirichlet Allocation 50%
• Experimental Dataset 50%
• Semantic Network 50%
• Trademark Owner 50%