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Commonsense knowledge in Wikidata
This document summarizes research on commonsense knowledge in Wikidata. It finds that Wikidata contains some commonsense knowledge concepts and relations, though it is a very small percentage (0.01%) of overall knowledge. The commonsense knowledge in Wikidata has little overlap with existing commonsense knowledge graphs. Future work could aim to enrich Wikidata's commonsense coverage and integrate commonsense knowledge across different sources.
Commonsense knowledge in Wikidata
- 1. Commonsense Knowledge in Wikidata FilipIlievski - Pedro Szekely - Daniel Schwabe submitted to the Wikidata workshop @ ISWC’20
- 2. 1.1 billion edges 84million nodes (May 2020) ‘sister’ of Wikipedia
- 3. 1.1 billion edges 84million nodes (May 2020) ‘sister’ of Wikipedia Q: pictures of animals with female grammatical gender in German but male grammatical gender in French
- 4. Common sense the basicability to perceive, understand, and judge things that are shared by nearly all people and can be reasonably expected of nearly all people without need for debate
- 5. Research questions Q1: DoesWikidata contain relevant commonsense knowledge? Q2: If so, is this complementary to other commonsense knowledge sources?
- 6. Principles of CommonsenseKnowledge P1: Concepts, not entities Houses have rooms Versailles Palace has 700 rooms P2: Commonness Container used for storage Noma subclass of aphthous stomatitis P3: General-domain knowledge wheel is part of a car cholesterol has component cell membrane
- 7. Principles of CommonsenseKnowledge P1: Concepts, not entities Houses have rooms Versailles Palace has 700 rooms Keep nodes with lowercase alphanumeric characters P2: Commonness Container used for storage Noma subclass of aphthous stomatitis P3: General-domain knowledge wheel is part of a car cholesterol has component cell membrane
- 8. Principles of CommonsenseKnowledge P1: Concepts, not entities Houses have rooms Versailles Palace has 700 rooms Keep nodes with lowercase alphanumeric characters P2: Commonness Container used for storage Noma subclass of aphthous stomatitis Frequent words ~ common concepts Usage stats on a large (independent!) corpus P3: General-domain knowledge wheel is part of a car cholesterol has component cell membrane
- 9. After step 1& 2: 414 relations 421k edges
- 11. Principles of CommonsenseKnowledge P1: Concepts, not entities Houses have rooms Versailles Palace has 700 rooms Keep nodes with lowercase alphanumeric characters P2: Commonness Container used for storage Noma subclass of aphthous stomatitis Frequent words ~ common concepts Usage stats on a large (independent!) corpus P3: General-domain knowledge wheel is part of a car cholesterol has component cell membrane Take the top 50 relations (97.4% of all edges) Annotate: domain-specific? Annotate: map to ConceptNet relations
- 12. Domain-specific relations cell component strandorientation molecular function biological process decays to property constraint
- 13.
- 14. How much commonsense is there in WD?
- 15.
- 16. Is WD’s commonsenseknowledge novel?
- 17. Discussion 1. Integrating Wikidata-CSwith ConceptNet and other sources 2. Generalizing over instance-level knowledge a. birthplace of people -> functional property 3. Missing knowledge types a. typical/expected quantities (chairs have 4 legs, spiders have 8) b. agent goals (compete in order to win) c. symbolism (red - danger)
- 18. Conclusions Common concepts &general relations allow us to distill Wikidata-CS Wikidata contains some commonsense knowledge (0.01%) Very little overlap with existing commonsense KGs Future work: 1. enrich common sense coverage of Wikidata 2. integrate commonsense knowledge across sources
- 19.