Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/heyvaert_ld4ie_2017/#publication> ?p ?o }
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- publication author me.
- publication author me.
- publication author erik_mannens.
- publication author me.
- publication creator me.
- publication creator me.
- publication creator erik_mannens.
- publication creator me.
- publication about RML.
- publication about rules.
- publication about Linked_Data.
- publication author me.
- publication author me.
- publication author erik_mannens.
- publication author me.
- publication coparticipatesWith me.
- publication coparticipatesWith me.
- publication coparticipatesWith erik_mannens.
- publication coparticipatesWith me.
- publication type PublicationVolume.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Document.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Work.
- publication P50 me.
- publication P50 me.
- publication P50 erik_mannens.
- publication P50 me.
- publication maker me.
- publication maker me.
- publication maker erik_mannens.
- publication maker me.
- publication title "Semi-Automatic Example-Driven Linked Data Mapping Creation".
- publication isPartOf proceedings_of_the_5th_international_workshop_on_linked_data_for_information_extraction.
- publication name "Semi-Automatic Example-Driven Linked Data Mapping Creation".
- publication label "Semi-Automatic Example-Driven Linked Data Mapping Creation".
- publication name "Semi-Automatic Example-Driven Linked Data Mapping Creation".
- publication topic RML.
- publication topic rules.
- publication topic Linked_Data.
- publication subject RML.
- publication subject rules.
- publication subject Linked_Data.
- publication authorList b0_b2147.
- publication topic RML.
- publication topic rules.
- publication topic Linked_Data.
- publication abstract "Linked Data can be generated by applying mapping rules on existing (semi-)structured data. The manual creation of these rules involves a costly process for users. Therefore, (semi-)automatic approaches have been developed to assist users. Although, they provide promising results, in use cases where examples of the desired Linked Data are available they do not use the knowledge provided by these examples, resulting in Linked Data that might not be as desired. This in turn requires manual updates of the rules. These examples can in certain cases be easy to create and offer valuable knowledge relevant for the mapping process, such as which data corresponds to entities and attributes, how this data is annotated and modeled, and how different entities are linked to each other. In this paper, we introduce a semi-automatic approach to create rules based on examples for both the existing data and corresponding Linked Data. Furthermore, we made the approach available via the RMLEditor, making it readily accessible for users through a graphical user interface. The proposed approach provides a first attempt to generate a complete Linked Dataset based on user-provided examples, by creating an initial set of rules for the users.".
- publication datePublished "2017".
- publication mainEntityOfPage heyvaert_ld4ie_2017.
- publication sameAs publication.
- publication isPrimaryTopicOf heyvaert_ld4ie_2017.
- publication page heyvaert_ld4ie_2017.
- publication number "1946".
- publication volume "1946".
- publication locator "1946".
- publication volume "1946".
- publication position "1946".
- publication volumeNumber "1946".