Dontopedia

Multilingual Document Retrieval

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Multilingual Document Retrieval has 2 facts recorded in Dontopedia across 2 references.

2 facts·2 predicates·2 sources
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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purposePurpose(1)

solvesSolves(1)

Other facts (2)

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2 facts
PredicateValueRef
Rdf:typeInformation Retrieval Task[1]
Indicated byLanguage Expansion[2]

Timeline

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typebeam/71bd619f-3a2a-4409-aa90-2bb4c8d66908
ex:InformationRetrievalTask
indicatedBybeam/83decc01-f770-4428-852b-466b97d6139c
ex:language-expansion

References (2)

2 references
  1. ctx:claims/beam/71bd619f-3a2a-4409-aa90-2bb4c8d66908
    • full textbeam-chunk
      text/plain1 KBdoc:beam/71bd619f-3a2a-4409-aa90-2bb4c8d66908
      Show excerpt
      4. **Building the Index**: We use Faiss to build an index of the document vectors. The index is optimized for inner product similarity. 5. **Searching and Retrieving**: We encode the query into a vector, normalize it, and search the index t
  2. ctx:claims/beam/83decc01-f770-4428-852b-466b97d6139c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/83decc01-f770-4428-852b-466b97d6139c
      Show excerpt
      expanded_query = query for lang in languages: if lang != 'en': # Use translation API or model to expand query # For simplicity, we assume a translation function `translate` translated_quer

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