Add to ORKGAbstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic Web knowledge base. It offers a new way to get insights about ele-ments in an ontology, in particular for large amounts of instance data. For this reason, we applied the idea to the DBpedia data set, which contains an enormous amount of knowledge extracted from Wikipedia. We describe the workings of the Relationship Finder algorithm and present some interesting statistical discoveries about DBpedia and Wikipedia.
When it comes to factual knowledge about a wide range of domains, Wikipedia is often the prime sourc...
<p>The identification of semantic relationships, as expressed between named entities in text, is an ...
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes i...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
DBpedia is a community effort to extract structured information from Wikipedia. It has both inter-es...
This paper proposes the automatic acquisition of binary relational patterns (i.e. portions of text e...
This paper proposes the automatic acquisition of binary relational patterns (i.e. portions of text e...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
Extracting the semantic relatedness of terms is an important topic in several areas, including data...
Extracting the semantic relatedness of terms is an important topic in several areas, including data ...
The exponential growth and reliability of Wikipedia have made it a promising data source for intelli...
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or inst...
The entity relatedness problem refers to the question of exploring a knowledge base, represented as ...
Semantic web as a vision of Tim Berners-Lee is highly dependable upon the availability of machine re...
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes i...
When it comes to factual knowledge about a wide range of domains, Wikipedia is often the prime sourc...
<p>The identification of semantic relationships, as expressed between named entities in text, is an ...
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes i...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
DBpedia is a community effort to extract structured information from Wikipedia. It has both inter-es...
This paper proposes the automatic acquisition of binary relational patterns (i.e. portions of text e...
This paper proposes the automatic acquisition of binary relational patterns (i.e. portions of text e...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
Extracting the semantic relatedness of terms is an important topic in several areas, including data...
Extracting the semantic relatedness of terms is an important topic in several areas, including data ...
The exponential growth and reliability of Wikipedia have made it a promising data source for intelli...
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or inst...
The entity relatedness problem refers to the question of exploring a knowledge base, represented as ...
Semantic web as a vision of Tim Berners-Lee is highly dependable upon the availability of machine re...
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes i...
When it comes to factual knowledge about a wide range of domains, Wikipedia is often the prime sourc...
<p>The identification of semantic relationships, as expressed between named entities in text, is an ...
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes i...