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Protégé | Guava | |
---|---|---|
9 | 58 | |
944 | 49,412 | |
2.3% | 0.6% | |
5.6 | 9.6 | |
20 days ago | 3 days ago | |
Java | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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
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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/
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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
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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/
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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.
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EquivalentTo versus SubClassOf
Protege Desktop
- Holloman Airforce Base Landing
Guava
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Lists: do you know the nature of yours? The strange story of a data container in Java
The first problem is at the level of Type System, given that a situation more correct would allow us to distinguish through the Collection Type which abstraction we are operating with, species if definable as mutable or immutable. The JCF was born at a time when great care was taken to offer immediate operational data structures, and with attention to performance, but with less attention to constructs or uses that are now seen as common. These concepts have been taken up by other infrastructures from which we certainly cannot fail to mention: Eclipse Collection, Guava Collections, and VAVR.
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Google/guava: Google core libraries for Java
Even better is getting Gradle/Maven to correctly pull "plain" vs "Android" versions of the package instead of them just publishing the diverging code base as two repository packages.
https://github.com/google/guava/issues/2914
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Guava 32.0 (released today) and the @Beta annotation
I'll admit I'm surprised to see that BOMs have been documented on maven.apache.org since mid-2008. It looks like Spring, for example, didn't adopt them until mid-2014. I don't know how widely they caught on in other areas. The first discussion of them in the context of Guava may have been in 2018, as I don't see mention of them in the various issues from 2011-2015 (#605, #1329, #1471, #1954.
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Best Practice of Guava ImmutableList
And a quick peek at the source code for ImmutableList seems to confirm this (https://github.com/google/guava/blob/master/guava/src/com/google/common/collect/ImmutableList.java - it goes via a bunch of methods, but ends up using Arrays.copyOf(), which creates a fixed-size array).
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Genuine question: how do you all use Haskell IRL?
The guava library of Java has some of these data structures implemented: https://github.com/google/guava/wiki/ImmutableCollectionsExplained , but implementations of the above book in many languages can be found on github (say, this one for Haskell: https://github.com/aistrate/Okasaki )
- Murmurhash -criando um rollout progressivo via backend
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Один из примеров почему ChatGPT еще очень далеко до замены программистов, та и остальных профессий тоже.
Java Mask: Java Mask is a library that offers various string masking techniques for sensitive data such as credit card numbers, email addresses, and more. You can find the library at: https://github.com/miguelfreitas93/java-mask DataMasker: DataMasker is a Java library specifically designed for masking sensitive data, including credit card numbers, using customizable masking patterns. Visit the GitHub repository for more information and usage examples: https://github.com/GDSSecurity/DataMasker Maskify: Maskify is a simple Java library that can be used to mask credit card numbers, Social Security numbers, and other sensitive information. You can find the library at: https://github.com/jonathancarvalhoalves/maskify CreditCardUtils: This is a lightweight Java library that provides utility methods for validating, formatting, and masking credit card numbers. Visit the GitHub repository for more information: https://github.com/malkusch/creditcardutils Google Guava: Google Guava is a popular set of Java libraries containing a wealth of utilities for working with strings, collections, and more. While not specifically designed for masking credit card information, you can use Guava's string manipulation methods to mask sensitive data: https://github.com/google/guava
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Twitter makes some of its source code public
I mean, I guess, technically? If you define it like that, then Microsoft has people working for them for free, as does Google, as does Apple, etc. It's not that weird, and you can try to twist it to be weird, but those of us in the software industry largely regard this as a good thing.
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Managing unfixable CVEs
So we have https://github.com/google/guava/issues/4011
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Java 17 migration: bias locks regression
Ok, so let's implement our lazy initialization more smartly to avoid acquiring the lock every time and use old fashion but still working double-checked locking. I've found it implemented by Suppliers.memoize in guava library.
What are some alternatives?
Gephi - Gephi - The Open Graph Viz Platform
JGit - JGit project repository (jgit)
javatuples - Typesafe representation of tuples in Java.
Caffeine - A high performance caching library for Java
JADE - a pug implementation written in Java (formerly known as jade)
Eclipse Collections - Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.
Embulk - Embulk: Pluggable Bulk Data Loader.
Hashids.java - Hashids algorithm v1.0.0 implementation in Java
HaikunatorJAVA - Generate Heroku-like random names to use in your Java applications