Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313342178> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4313342178 endingPage "72" @default.
- W4313342178 startingPage "57" @default.
- W4313342178 abstract "Fighting against misinformation and computational propaganda requires integrated efforts from various domains like law or education, but there is also a need for computational tools. I investigate here how reasoning in Description Logics (DLs) can detect inconsistencies between trusted knowledge and not trusted sources. The proposed method is exemplified on fake news for the new coronavirus. Indeed, in the context of the Covid-19 pandemic, many were quick to spread deceptive information. Since, the not-trusted information comes in natural language (e.g. “Covid-19 affects only the elderly”), the natural language text is automatically converted into DLs using the FRED tool. The resulted knowledge graph formalised in Description Logics is merged with the trusted ontologies on Covid-10. Reasoning in Description Logics is then performed with the Racer reasoner, which is responsable to detect inconsistencies within the ontology. When detecting inconsistencies, a “red flag” is raised to signal possible fake news. The reasoner can provide justifications for the detected inconsistency. This availability of justifications is the main advantage compared to approaches based on machine learning, since the system is able to explain its reasoning steps to a human agent. Hence, the approach is a step towards human-centric AI systems. The main challenge remains to improve the technology which automatically translates text into some formal representation." @default.
- W4313342178 created "2023-01-06" @default.
- W4313342178 creator A5085701846 @default.
- W4313342178 date "2022-01-01" @default.
- W4313342178 modified "2023-10-12" @default.
- W4313342178 title "Towards Detecting Fake News Using Natural Language Understanding and Reasoning in Description Logics" @default.
- W4313342178 cites W2051889487 @default.
- W4313342178 cites W2091763900 @default.
- W4313342178 cites W2130252997 @default.
- W4313342178 cites W2151194187 @default.
- W4313342178 cites W2517489125 @default.
- W4313342178 cites W2546592134 @default.
- W4313342178 cites W2615497377 @default.
- W4313342178 cites W2749363930 @default.
- W4313342178 cites W2770749103 @default.
- W4313342178 cites W2772792254 @default.
- W4313342178 cites W2790166049 @default.
- W4313342178 cites W2791544114 @default.
- W4313342178 cites W2800249869 @default.
- W4313342178 cites W2852434548 @default.
- W4313342178 cites W2889554559 @default.
- W4313342178 cites W3101739755 @default.
- W4313342178 cites W4213168938 @default.
- W4313342178 doi "https://doi.org/10.1007/978-3-031-22228-3_3" @default.
- W4313342178 hasPublicationYear "2022" @default.
- W4313342178 type Work @default.
- W4313342178 citedByCount "0" @default.
- W4313342178 crossrefType "book-chapter" @default.
- W4313342178 hasAuthorship W4313342178A5085701846 @default.
- W4313342178 hasConcept C102993220 @default.
- W4313342178 hasConcept C108827166 @default.
- W4313342178 hasConcept C111472728 @default.
- W4313342178 hasConcept C138885662 @default.
- W4313342178 hasConcept C151730666 @default.
- W4313342178 hasConcept C154945302 @default.
- W4313342178 hasConcept C161301231 @default.
- W4313342178 hasConcept C195324797 @default.
- W4313342178 hasConcept C204321447 @default.
- W4313342178 hasConcept C25810664 @default.
- W4313342178 hasConcept C2776990098 @default.
- W4313342178 hasConcept C2779343474 @default.
- W4313342178 hasConcept C2779756789 @default.
- W4313342178 hasConcept C38652104 @default.
- W4313342178 hasConcept C41008148 @default.
- W4313342178 hasConcept C86803240 @default.
- W4313342178 hasConcept C9616225 @default.
- W4313342178 hasConceptScore W4313342178C102993220 @default.
- W4313342178 hasConceptScore W4313342178C108827166 @default.
- W4313342178 hasConceptScore W4313342178C111472728 @default.
- W4313342178 hasConceptScore W4313342178C138885662 @default.
- W4313342178 hasConceptScore W4313342178C151730666 @default.
- W4313342178 hasConceptScore W4313342178C154945302 @default.
- W4313342178 hasConceptScore W4313342178C161301231 @default.
- W4313342178 hasConceptScore W4313342178C195324797 @default.
- W4313342178 hasConceptScore W4313342178C204321447 @default.
- W4313342178 hasConceptScore W4313342178C25810664 @default.
- W4313342178 hasConceptScore W4313342178C2776990098 @default.
- W4313342178 hasConceptScore W4313342178C2779343474 @default.
- W4313342178 hasConceptScore W4313342178C2779756789 @default.
- W4313342178 hasConceptScore W4313342178C38652104 @default.
- W4313342178 hasConceptScore W4313342178C41008148 @default.
- W4313342178 hasConceptScore W4313342178C86803240 @default.
- W4313342178 hasConceptScore W4313342178C9616225 @default.
- W4313342178 hasLocation W43133421781 @default.
- W4313342178 hasOpenAccess W4313342178 @default.
- W4313342178 hasPrimaryLocation W43133421781 @default.
- W4313342178 hasRelatedWork W1492027561 @default.
- W4313342178 hasRelatedWork W1759289205 @default.
- W4313342178 hasRelatedWork W180507639 @default.
- W4313342178 hasRelatedWork W1915025741 @default.
- W4313342178 hasRelatedWork W2101552159 @default.
- W4313342178 hasRelatedWork W2127527675 @default.
- W4313342178 hasRelatedWork W2167976864 @default.
- W4313342178 hasRelatedWork W4313342178 @default.
- W4313342178 hasRelatedWork W4313799917 @default.
- W4313342178 hasRelatedWork W51870112 @default.
- W4313342178 isParatext "false" @default.
- W4313342178 isRetracted "false" @default.
- W4313342178 workType "book-chapter" @default.