Evaluation of a Semantic Similarity Measure for Natural Language Spatial Relations

2007 ◽  
pp. 116-132 ◽  
Author(s):  
Angela Schwering
Keyword(s):  
Natural Language ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Spatial Relations ◽  
Semantic Similarity Measure

Mining information from sentences through Semantic Web data and Information Extraction tasks

2020 ◽  
pp. 016555152093438
Author(s):  
Jose L. Martinez-Rodriguez ◽  
Ivan Lopez-Arevalo ◽  
Ana B. Rios-Alvarado
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Information Extraction ◽  
Knowledge Base ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Real World ◽  
Semantic Similarity Measure ◽  
Web Standards ◽  
Extract Information

The Semantic Web provides guidelines for the representation of information about real-world objects (entities) and their relations (properties). This is helpful for the dissemination and consumption of information by people and applications. However, the information is mainly contained within natural language sentences, which do not have a structure or linguistic descriptions ready to be directly processed by computers. Thus, the challenge is to identify and extract the elements of information that can be represented. Hence, this article presents a strategy to extract information from sentences and its representation with Semantic Web standards. Our strategy involves Information Extraction tasks and a hybrid semantic similarity measure to get entities and relations that are later associated with individuals and properties from a Knowledge Base to create RDF triples (Subject–Predicate–Object structures). The experiments demonstrate the feasibility of our method and that it outperforms the accuracy provided by a pattern-based method from the literature.

A Semantic Similarity Measure between Ontological Concepts

2012 ◽  
Vol 38 (2) ◽  
pp. 229-235 ◽  
Author(s):  
Wen-Qing LI ◽  
Xin SUN ◽  
Chang-You ZHANG ◽  
Ye FENG
Keyword(s):  
Semantic Similarity ◽  
Similarity Measure ◽  
Semantic Similarity Measure

A Semantic Similarity Measure for the SIMS Framework

2008 ◽  
pp. 285-292
Author(s):  
Roberto Pirrone ◽  
Giuseppe Russo ◽  
Pierluca Sangiorgi ◽  
Nunzio Ingraffia ◽  
Claudia Vicari
Keyword(s):  
Semantic Similarity ◽  
Similarity Measure ◽  
Semantic Similarity Measure
Sign in / Sign up

Export Citation Format

Share Document