Building Concept Lattices by Learning Concepts from RDF Graphs Annotating Web Documents
نویسندگان
چکیده
This paper presents a method for building concept lattices by learning concepts from RDF annotations of Web documents. It consists in extracting conceptual descriptions of the Web resources from the RDF graph gathering all the resource annotations and then forming concepts from all possible subsets of resources each such subset being associated with a set of descriptions shared by the resources belonging to it. The concept hierarchy is the concept lattice built upon a context built from the power context family representing the RDF graph. In the framework of the CoMMA European IST project dedicated to ontologyguided Information Retrieval in a corporate memory, the hierarchy of the so learned concepts will enrich the ontology of primitive concepts, organize the documents of the organization’s Intranet and then improve Information Retrieval. The RDF Model is close to the Simple Conceptual Graph Model; our method can be thus generalized to Simple Conceptual Graphs.
منابع مشابه
OntoMiner: automated metadata and instance mining from news websites
RDF/XML has been widely recognised as the standard for annotating online web documents and for transforming the HTML web into the so-called Semantic Web. In order to enable widespread usability of the Semantic Web, there is a need to bootstrap large, rich and up-to-date domain ontologies that organise the most relevant concepts, their relationships and instances. In this paper, we present autom...
متن کاملConcept Lattices of RDF Graphs
The concept lattice of an RDF graph is defined. The intents are described by graph patterns rather than sets of attributes, a view that is supported by the fact that RDF data is essentially a graph. A simple formalization by triple graphs defines pattern closures as connected components of graph products. The patterns correspond to conjunctive queries, generalization of properties is supported....
متن کاملGlossOnt: A Concept-focused Ontology Building Tool
The demand for ontologies is rapidly growing especially due to developments in knowledge management, E-commerce and the Semantic Web. Building an ontology and a background knowledge base manually is so costly and timeconsuming that it hampers progress in intelligent information access. Therefore, semi-automatic or automatic construction of ontologies is very useful. This paper presents a concep...
متن کاملExtending Ontologies with Free Keywords in a Collaborative Annotation Environment
Semantic web technologies have introduced the idea of annotating content in terms of concepts taken from ontologies. Since concepts are defined in terms of properties and relations to other concepts, descriptions grow up into larger RDF graphs that can be used as a basis for data integration and intelligent information retrieval. Since ontologies do not typically contain all the possible concep...
متن کاملConceptual Navigation in RDF Graphs with SPARQL-Like Queries
Concept lattices have been successfully used for information retrieval and browsing. They offer the advantage of combining querying and navigation in a consistent way. Conceptual navigation is more flexible than hierarchical navigation, and easier to use than plain querying. It has already been applied to formal, logical, and relational contexts, but its application to the semantic web is a cha...
متن کامل