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I am a software engineer living in Barcelona. On Wikidata, I'm interested in:
- Hash links Making references more robust by linking to source data with IPFS using a self-certifying name (hash link). This makes it more reliable to find the source in the future.
- Represent assumptions Formal representation of the assumptions behind conflicting claims using an argumentation framework. (For example, different assumptions about what effects a drug has.) This allows a user to explore the consequences of different assumptions. (For example what diseases can be treated by which drug depending on the assumption of its effects.)
- Represent context Formal representation of the context of claims. For example, religious claims about actual people and places, widely-believed conspiracy theories, speculative scientific theories, etc. How can someone choose to see or not see query results from different contexts? (This is harder than fictional universes where the whole item is a "fictional human". The problem is an ordinary human or place but where some claims are made in an alternate context.)
- Upper ontology Making use of inferences based on upper ontology such as SUMO.
- Non-noteworthy data How a knowledge system based on Wikidata can also include information which is not "noteworthy". For example, an ordinary person.
- Noteworthy disallowed data How a knowledge system based on Wikidata can also include information for a noteworthy item which is effectively public but not allowed in Wikidata. For example, the car license plate numbers of Senators so that independent watchdog groups can see which corporations they are visiting. This is related to hash links since this data could be in IPFS.