Protégé
Hashids.java
Protégé | Hashids.java | |
---|---|---|
9 | 31 | |
948 | 1,012 | |
0.7% | 0.0% | |
5.4 | 0.0 | |
3 days ago | 7 months ago | |
Java | Java | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Protégé
- Protégé: A free, open-source ontology editor for building intelligent systems
-
What's the "best" way to work with Apache Jena
Along those lines, not Jena but useful for playing with ideas is Protege, https://protege.stanford.edu/
-
Does any useful knowledge graph tool that you recommend?
If you go with the Semantic Web there are many tools. The best free tool (possibly the best tool period) for creating OWL ontologies is the Protege ontology editor developed at Stanford. I wrote a tutorial that explains how to use Protege and gives more detail on OWL, SPARQL, etc. https://www.michaeldebellis.com/post/new-protege-pizza-tutorial
-
The formation of the meta-universe [no crypto]
The case is different for more mature ontologies. The prime example is the sharing of drug information among drug vendors. They have an incentive to share because that ultimate saves them time in developing a drug that may already have been developed. It's like a prescreening for patenable drugs. They sgare knowledge in an ontology library called "Bioportal". many of the dntris are written in a form suported by the Protoge' editor. The Bioportal is open so anyone can look at the submissions. Protoge' is free and you can find tutorials on how to use it. You can find it at: https://protege.stanford.edu/
-
Legal Drafting and Computer Programming
If you could put this into an ontological solver format, like Cyc or protege ( https://protege.stanford.edu/ ) then create a couple dozen translations of real laws into the format, you could turn gpt-3 loose on the entire set of United States federal, state, and local laws and regulations. Then propose a question to the solver using your model whereby a person can successfully sue or acquire property according to the letter of the law.
There are probably hundreds of obscure unintended consequences of laws not intended to have the effects they do in practice.
Figure out contract law and parse website TOS and EULAs for violations and you could probably make some money.
The biggest benefit of such a system, though, would be for actual legislators, so they could run simulations of proposals to get a sense of consequences in practice. Simulation and summarization could be very powerful.
-
EquivalentTo versus SubClassOf
Protege Desktop
- Holloman Airforce Base Landing
Hashids.java
- Hashids: Generate short unique ids from integers
-
Auto Generate Sequential UIID
You basically want Hashids but sequential? Why not simple convert a base 10 (0-9) number to hex? (0-F)
-
Features I'd Like in PostgreSQL
I found hashids [1] to be a great compromise between integer ids in the database and copyable non-enumerable strings on the client.
[1] https://hashids.org/
- Short, friendly base32 slugs from timestamps
-
We Chose NanoIDs for PlanetScale’s API
I wonder how this might compare to just storing regular autoincrementing ints in the database, and converting to/from hashids (https://hashids.org/) at the edge. It eliminates the collision concern and stores more compactly at the cost of a tiny amount of encode/decode when processing requests. You’d want to push it down as close to the database layer as possible to avoid inadvertent int ID leaks; I added native hashids support to clickhouse but I’m not sure what other database support might entail.
-
How can I generate truly unique slugs?
Since hashids are not really hashes and are not secure at all this is not even achieved. Hashids can be easily decoded without the salt by a simple brute-force attack described by the authors of hashid themselves right on their website: https://hashids.org/
-
How to handle id-based routes with UUID
You don't necessarily need to use UUIDs. You could use something like Hashids to generate random strings from your sequential IDs in a reversible way, so that users can't predict what their values will be, but you can decode them as needed.
-
All of my database models have id replaced with UUID4s. Is there any risk to using these in URLs?
You should not use UUIDv4 as a primary key. You can use normal int values and then use hashids to make them safe for URL. UUIDv7 might be good to use as well once they are more widely supported as well.
- What’s Django’s argument for using 64-bit int as default pk over uuid. Can anyone point me to something I can read?
- Library for generating string IDs from number IDs
What are some alternatives?
Gephi - Gephi - The Open Graph Viz Platform
BLAKE3 - the official Rust and C implementations of the BLAKE3 cryptographic hash function
JGit - JGit project repository (jgit)
uuid7 - UUID version 7, which are time-sortable (following the Peabody RFC4122 draft)
javatuples - Typesafe representation of tuples in Java.
Guava - Google core libraries for Java
JADE - a pug implementation written in Java (formerly known as jade)
Embulk - Embulk: Pluggable Bulk Data Loader.