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Check the traffic stats of Protégé on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Protégé on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Protégé's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Protégé on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Protégé on Reddit. This can help you find out how popualr the product is and what people think about it.
The semantic web standards are sorely lacking (for decades now) a killer application. Not in a theoretical universe of decentralized philosopher-computer-scientists but in the dumbed down, swipe-the-next-30sec-video, adtech oligopolized digital landscape of walled gardens. Providing better search metadata is hardly that killer app. Not in 2024. The lack of adoption has, imho, two components. 1. Bad luck: the Web... - Source: Hacker News / 10 months ago
Along those lines, not Jena but useful for playing with ideas is Protege, Https://protege.stanford.edu/. Source: about 2 years ago
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. Source: almost 3 years ago
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... Source: about 3 years ago
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... - Source: Hacker News / over 3 years ago
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