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Does anybody use semantic techniques (RDF, OWL, machine reasoning, etc.) in comercial apps or is it still an academia's toy?
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Yes, for the industries the Semantic Web is dead, but for Cultural Heritage it is still alive.
Although the RDF/XML format is still in use, other RDF serializations are now preferred by many RDF users, both because they are more human-friendly, and because some RDF graphs are not representable in RDF/XML due to restrictions on the syntax of XML QNames.
“APIs are proliferating,” he says. He also notes that the biggest reason that the Semantic Web is failing where other, smarter technologies are succeeding is that semantic languages were hard to use. “Semantic Web technologies were complex and opaque, made by academics for academics,” he adds.
The semantic web has great potential and is generally believed to be the future of the web, Web 3.0; which is not a system of interlinked documents as the early web, but a system of interlinked data.
Semantic Web is Dead, Long live the AI!!! Last week I’ve had to present a little paper about the state of the Semantic Web. Before that I don’t think I’ve actually heard anyone say anything about it even though there’s a whole class where I’m studying about it. After the presentation I’ve decided to write a little about it.
By linking all data you can bring a whole new level to the Web. You can easily see the source of all information and, more importantly, the computers can actually understand what we are seeing. And the main idea of Semantic Web is that, to write the Web in a way that’s understandable not only to us but also to the computers.
(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...) A Python frontend to Ontologies. The Knowledge Graph notebook. Apache license. A curated list of Clojure resources for dealing with graph-like data. GraphQL interface for querying and serving linked data on the Web.
A curated list of various semantic web and linked data resources. DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text. RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data. RSS as RESTful. This service allows you to transform RSS feed into an awesome API.
There are many organizations who have started using it. Like BBC Programmes and BBC Music, Crunchbase, OpenCalias are few examples. Many Biological data repositories store data using these technologies as well. Commercial software to store and query RDF like virtuoso are also available.
Search engines have also started using and displaying such data (For example see Google snippets)
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Oracle have done some work and IBM have done some research too.
I studied the semantic web at university a couple of years ago and I wasn't convinced then. It doesn't seem to have made much progress beyond academia since then.
The basic problem is that needs to get a critical mass of ontologies to be widely used, but creating that critical mass is too difficult so it just isn't going to happen.
Some other questions that are related:
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