- From: Egon Willighagen <egon.willighagen@gmail.com>
- Date: Mon, 10 Apr 2023 07:54:10 +0200
- To: IS4 <illidans4@gmail.com>
- Cc: public-lod@w3.org, semantic-web@w3.org
- Message-ID: <CAMPqvY-y8hWVN59aNkPVAHVo-67FDygBmnoGWJmb6eTfwqeMuA@mail.gmail.com>
Hi IS4, do you know Strigi/Nepomuk? See e.g.: - https://dot.kde.org/2007/04/11/road-kde-4-strigi-and-file-information-extraction - https://dot.kde.org/2007/05/08/interview-flavio-castelli-strigi-developer - https://neksa.blogspot.com/2007/08/strigi-plugins-tokenizers-and-ontology.html Looking forward to seeing your code online. With kind regards, Egon On Thu, 30 Mar 2023 at 15:58, IS4 <illidans4@gmail.com> wrote: > Hello! > > I have made a tool that can describe any file or piece of data, including > its formats and contents, in RDF: the Semantic File Inspector, available at > https://sfi.is4.site/ (requires WebAssembly)! It currently supports over > 30 different formats including common media formats, archives, executables > and documents, and is able to collect rich metadata including common file > properties and format-specific properties such as image dimensions and > others, it can also compute hashes using various algorithms to describe and > identify the data, and it encodes all of this in RDF using common > vocabularies found on the semantic web, with the possibility to save the > result in one of the many RDF serialization formats, or use SPARQL to > extract information or data. > > Additional cool abilities: > - It can represent and describe files at different levels of abstraction, > for example: the file node itself, its binary/text content, the XML > document it encodes, and the object it represents. > - It can derive multiple formats from a single file, for example both ISO > and UDF from images. > - It looks recursively into archives or other resources storing resources. > - It can emulate MS-DOS executables and store their output as > dcterms:description. > - All components can be configured or disabled, if needed. Plugins may be > developed for additional functionality. > - No data is sent anywhere; all runs in the browser. > > I would be happy for any feedback. Code will be available soon. > > Enjoy! > -- Predicting binding affinities can be predicted for each protein variant with a new QSAR model that takes into account the amino acid change: https://jcheminf.biomedcentral.com/articles/10.1186/s13321-023-00701-3 -- E.L. Willighagen Department of Bioinformatics - BiGCaT Maastricht University (http://www.bigcat.unimaas.nl/) Homepage: https://egonw.github.io/ Blog: https://chem-bla-ics.blogspot.com/ Mastodon: https://scholar.social/@egonw PubList: https://orcid.org/0000-0001-7542-0286
Received on Monday, 10 April 2023 05:54:28 UTC