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OpenLink showcases vector similarity search on DBpedia knowledge graph

By PulseAugur Editorial · [1 sources] ·

OpenLink has demonstrated vector similarity search capabilities on a DBpedia instance, indexing embeddings for literal objects within the knowledge graph. This allows for semantic searching, enabling users to find literal values semantically similar to a given text query. The demonstration showcases how this technology can be applied to knowledge graphs for more advanced querying and data retrieval. AI

IMPACT Enhances knowledge graph querying with semantic search capabilities.

RANK_REASON Demonstration of a specific technical capability on an existing dataset.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenLink showcases vector similarity search on DBpedia knowledge graph

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0 / 100
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Tool
Demonstration of a specific technical capability on an existing dataset.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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3 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · openlink ·

    Showcasing the impact of vector similarity search on a DBpedia instance where embeddings have been generated and indexed on literal objects in a DBpedia knowled

    Showcasing the impact of vector similarity search on a DBpedia instance where embeddings have been generated and indexed on literal objects in a DBpedia knowledge graph. https:// vec.demo.openlinksw.com/sparql ?default-graph-uri=&query=%23+Virtuoso+built-in+functions%2C+including…

    LINKS vec.demo.openlinksw.com/sparql vec.demo.openlinksw.com/sparql vec.demo.openlinksw.com/sparql

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