1 / 11

Linked Open Data Query Based on Natural Language

Linked Open Data Query Based on Natural Language. Jie Liu, Wei Li, Liming Luo, Jianshe Zhou, Xu Han, Jinsheng Shi Capital Normal University. Wentao Ding. Chinese Journal of Electronics Vol.26 , No.2, Mar. 2017. Conversion system based on Entity-property-modifier (EPM ).

schreiber
Download Presentation

Linked Open Data Query Based on Natural Language

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Linked Open Data Query Based on Natural Language Jie Liu, Wei Li, Liming Luo, JiansheZhou, Xu Han, Jinsheng Shi Capital Normal University Wentao Ding Chinese Journal of Electronics Vol.26, No.2, Mar. 2017

  2. Conversion system based on Entity-property-modifier (EPM) • Unsupervised query parsing method • Classify the NL words into five types • Rule based triple extraction • Map the triple patterns • Mapping by predicate & entity index lookups • Select vocabulary based on semantic & syntax similarity

  3. Annotation • POS based words classification • e.g.

  4. Query Analysis • Query Type and focus

  5. Query Analysis • Triple construction • Dependent Relationship -> DAG • Only semantic dependencies associated with key words

  6. Query Analysis • Triple instantiation

  7. Query Analysis • Give me all actors who were born in Berlin. • Result

  8. Resource Mapping • For entity, • Use Wikipedia to locate the resource in homepage • A special index is provided for mapping country. • For modifier constraint • Triple instantiation rules • For concept and relation/property • Use the WordNet to get its synonyms, hypernyms, and relative synset, and their corresponding indexes are used to map the resources

  9. Resource Mapping • Select candidates • A semantic score to get the top-K prior candidates Lin’s semantic similarity method on WordNet a fixed value in “our common index”

  10. Experimental Result • Standard test set provided by QALD-4

  11. Q & A • Thanks for listening.

More Related