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- 60 keyword "Rules".
- 60 title "Extending Description Logic Rules".
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- item-1 hasContent david-carral-martinez.
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- item-2 hasContent pascal-hitzler.
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- 7 creator aman-goel.
- 7 creator craig-knoblock.
- 7 creator jose-luis-ambite.
- 7 creator kristina-lerman.
- 7 creator maria-muslea.
- 7 creator mohsen-taheriyan.
- 7 creator parag-mallick.
- 7 creator pedro-szekely.
- 7 creator shubham-gupta.
- 7 type InProceedings.
- 7 label "Semi-Automatically Mapping Structured Sources into the Semantic Web".
- 7 sameAs 7.
- 7 abstract "The Linked Open Data continues to grow rapidly, but a limitation of much of the data that is being published is the lack of a semantic description. While there are tools that help users to quickly convert a database into RDF, they do not provide a way to easily map the data into an existing ontology. This paper presents an approach that allows users to interactively map their structured sources into an existing ontology and then use that mapping to generate RDF triples. This approach automatically generates a mapping from the data source into the ontology, but since the precise mapping is sometimes ambiguous, we allow the user to interactively refine the mappings. We implemented this approach in a system called Karma, and demonstrate that the system can map sources into an ontology with minimal user interaction and efficiently generate the corresponding RDF.".
- 7 hasAuthorList authorList.
- 7 isPartOf proceedings.
- 7 keyword "RDF generation".
- 7 keyword "linked data".
- 7 keyword "ontology mapping".
- 7 keyword "source modeling".
- 7 title "Semi-Automatically Mapping Structured Sources into the Semantic Web".
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- item-1 hasContent craig-knoblock.
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- item-2 hasContent pedro-szekely.
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- item-3 hasContent jose-luis-ambite.
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- item-4 hasContent aman-goel.
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- item-5 hasContent shubham-gupta.
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- item-6 hasContent kristina-lerman.
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- item-7 hasContent parag-mallick.
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- item-8 hasContent maria-muslea.
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- item-9 hasContent mohsen-taheriyan.
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- 73 creator isabelle-augenstein.
- 73 creator sebastian-pado.
- 73 creator sebastian-rudolph.
- 73 type InProceedings.
- 73 label "LODifier: Generating Linked Data from Unstructured Text".
- 73 sameAs 73.
- 73 abstract "The automated extraction of information from text and its transformation into a formal description is an important goal of in both Semantic Web research and computational linguistics. The extracted information can be used for a variety of tasks such as ontology generation, question answering and information retrieval. LODifier is an approach that combines deep semantic analysis with named entity recognition, word-sense disambiguation and controlled Semantic Web vocabularies in order to extract named entities and relations between them from text and to convert them into an RDF representation which is linked to DBpedia and WordNet. We present the architecture of our tool and discuss design decisions made. Evaluations of the tool give clear evidence of its potential for tasks like information extraction and computing document similarity.".
- 73 hasAuthorList authorList.
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- 73 keyword "Deep Semantic Analysis".
- 73 keyword "Linked Data".
- 73 keyword "NLP".
- 73 keyword "Named Entity Recognition".
- 73 keyword "RDF".
- 73 keyword "Relation Extraction".
- 73 title "LODifier: Generating Linked Data from Unstructured Text".
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