Matches in ScholarlyData for { ?s ?p ?o. }
- 33 hasTopic Rule_of_inference.
- 33 hasTopic Semantic_Web.
- 33 isPartOf proceedings.
- 33 keyword "hybrid reasoning".
- 33 keyword "integration ontologies and rules".
- 33 keyword "minimal model semantics".
- 33 keyword "rule language".
- 33 title "Hybrid Reasoning with Forest Logic Programs".
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- 34 creator gaelle-hignette.
- 34 creator juliette-dibie-barthelemy.
- 34 creator ollivier-haemmerle.
- 34 creator patrice-buche.
- 34 type InProceedings.
- 34 label "Fuzzy annotation of web data tables using a domain ontology".
- 34 sameAs 34.
- 34 abstract "We propose an automatic system for annotating accurately data tables extracted from the web. This system is designed to provide additional data to an existing querying system called MIEL, which relies on a common vocabulary used to query local relational databases. We will use the same vocabulary, translated into an OWL ontology, to annotate the tables. Our annotation system is unsupervised. It uses only the knowledge defined in the ontology to automatically annotate the entire content of tables, using an aggregation approach: first annotate cells, then columns, then relations between those columns. The annotations are fuzzy: instead of linking an element of the table with a precise concept of the ontology, the elements of the table are annotated with several concepts, associated with their relevance degree. Our annotation process has been validated experimentally on scientific domains (microbial risk in food, chemical risk in food) and a technical domain (aeronautics).".
- 34 hasAuthorList authorList.
- 34 hasTopic Annotation.
- 34 hasTopic Data.
- 34 hasTopic Semantic_Web.
- 34 isPartOf proceedings.
- 34 keyword "fuzzy set theory".
- 34 keyword "ontology driven method".
- 34 keyword "semantic relation instanciation".
- 34 keyword "semantic relation recognition".
- 34 title "Fuzzy annotation of web data tables using a domain ontology".
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- item-1 hasContent gaelle-hignette.
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- 39 creator michael-sintek.
- 39 creator paul-buitelaar.
- 39 creator peter-haase.
- 39 creator philipp-cimiano.
- 39 type InProceedings.
- 39 label "Towards Linguistically Grounded Ontologies".
- 39 sameAs 39.
- 39 abstract "In this paper we argue why it is necessary to associate linguistic information with ontologies and why more expressive models, beyond RDFS, OWL and SKOS, are needed to capture the relation between natural language constructs on the one hand and ontological entities on the other. We argue that in the light of tasks such as ontology-based information extraction, ontology learning and population from text and natural language generation from ontologies, currently available datamodels are not sufficient as they only allow to associate atomic terms without linguistic grounding or structure to ontology elements. Towards realizing a more expressive model for associating linguistic information to ontology elements, we base our work presented here on previously developed models (LingInfo, LexOnto, LMF) and present a new joint model for linguistic grounding of ontologies called LexInfo. LexInfo combines essential design aspects of LingInfo and LexOnto and builds on a sound model for representing computational lexica called LMF which has been recently approved as a standard under ISO.".
- 39 hasAuthorList authorList.
- 39 hasTopic Evaluation.
- 39 hasTopic Language_technology.
- 39 hasTopic Machine_learning.
- 39 hasTopic Natural_language_processing.
- 39 hasTopic Ontology_%28computer_science%29.
- 39 hasTopic Ontology_engineering.
- 39 hasTopic Semantic_Web.
- 39 isPartOf proceedings.
- 39 keyword "linguistic grounding of ontologies".
- 39 keyword "ontologies and multilinguality".
- 39 keyword "ontology enrichment for text mining".
- 39 keyword "ontology-based lexicon model".
- 39 keyword "ontology-based natural language processing".
- 39 title "Towards Linguistically Grounded Ontologies".
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