Relationships play a key role in Semantic Web to connect the dots between entities (concepts or instances in a way that enables to absorb the real sense of the entities. Even though relationships are important, it is difficult to categorize or identify them because they consist of complex knowledge in the schema. Therefore systematically identifying relationships yield many advantages and open doors for new research avenues. In this work, we try to identify a specific type of relationship (part of) in a multi-domain dataset and devised an algorithm using Wikipedia to identify patterns of part of relationships in the dataset. This paper is based on some in progress initial work based on identifying part of relationships
We present a minimally-supervised approach for learning part whole relations from texts. Unlike prev...
PATTY is a system for automatically distilling relational patterns from the Web, for example, the pa...
Meeting: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence,...
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or inst...
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: Web Integration System (WIS) provides abundant structured information about entities in a ...
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or inst...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
DBpedia is a community effort to extract structured information from Wikipedia. It has both inter-es...
Semantic relations between concepts or entities exist in textual documents, keywords or key phrases,...
Background knowledge as provided by repositories such as WordNet is of critical importance for linki...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
We present a minimally-supervised approach for learning part whole relations from texts. Unlike prev...
PATTY is a system for automatically distilling relational patterns from the Web, for example, the pa...
Meeting: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence,...
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or inst...
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: Web Integration System (WIS) provides abundant structured information about entities in a ...
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or inst...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
Abstract: The Relationship Finder is a tool for exploring connections between objects in a Semantic ...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
DBpedia is a community effort to extract structured information from Wikipedia. It has both inter-es...
Semantic relations between concepts or entities exist in textual documents, keywords or key phrases,...
Background knowledge as provided by repositories such as WordNet is of critical importance for linki...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
We present a minimally-supervised approach for learning part whole relations from texts. Unlike prev...
PATTY is a system for automatically distilling relational patterns from the Web, for example, the pa...
Meeting: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence,...