Relation Extraction for Semantic Web with Taxonomic Sequential Patterns

2011 ◽  
pp. 185-209
Author(s):  
Sebastian Blohm ◽  
Krisztian Buza ◽  
Lars Schmidt-Thieme ◽  
Philipp Cimiano
Keyword(s):  
Semantic Web ◽  
Relation Extraction ◽  
Sequential Patterns

Domain-Adaptive Relation Extraction for the Semantic Web

2014 ◽  
pp. 289-297 ◽  
Author(s):  
Feiyu Xu ◽  
Hans Uszkoreit ◽  
Hong Li ◽  
Peter Adolphs ◽  
Xiwen Cheng
Keyword(s):  
Semantic Web ◽  
Relation Extraction

An assessment of open relation extraction systems for the semantic web

2017 ◽  
Vol 71 ◽  
pp. 228-239 ◽  
Author(s):  
Amal Zouaq ◽  
Michel Gagnon ◽  
Ludovic Jean-Louis
Keyword(s):  
Semantic Web ◽  
Relation Extraction

A Pattern Language for Knowledge Discovery in a Semantic Web Context

2012 ◽  
pp. 59-74
Author(s):  
Mehdi Adda
Keyword(s):  
Data Mining ◽  
Semantic Web ◽  
Domain Knowledge ◽  
Hierarchical Structures ◽  
Sequential Patterns ◽  
Semantic Web Services ◽  
Database Integration ◽  
Specific Domain ◽  
Meaningful Information ◽  
Peer To Peer Systems

Ontologies are used to represent data and share knowledge of a specific domain, and in recent years they tend to be used in many applications such as database integration, peer-to-peer systems, e-commerce, semantic web services, bioinformatics, or social networks. Feeding ontological domain knowledge into those applications has proven to increase flexibility and inter-operability and interpretability of data and knowledge. As more data is gathered/generated by those applications, it becomes important to analyze and transform it to meaningful information. One possibility is to use data mining techniques to extract patterns from those large amounts of data. One challenging general problem in mining ontological data is taking into account not only domain concepts, properties and instances, but also hierarchical structures of those concepts and properties. In this paper, the authors research the specific problem of extracting ontology-based sequential patterns.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning
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