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AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Repository files navigation

AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

AutoRDF is an original open source framework used to make it a lot easier to work with RDF data from a software engineering point of view. Building on top of the Redland software package, it bridges the gap between semantic web ontology and legacy object oriented languages, by providing transparent access to RDF resources from within standard C++ objects. Its use of widespread C++11, Boost and Redland make it suitable not only for the desktop and server, but also to low computing power embedded devices.

More info at https://github.com/ariadnext/AutoRDF/wiki

Build Status

In order to generate the Conda Packaging, here are the steps:

  • Run the docker container from the the Dockerfile ./docker/Dockerfile.buildconda mount the current repository as a volume
docker build --build-arg irma_rsa= <Gitlab Private Key> \
--build-arg irma_rsa_pub= <Gitlab Public Key> \
--build-arg known_hosts= <Gitlab Known Host> \
-t autordf_conda_packaging -f ./docker/Dockerfile.buildconda .
docker run -it -v ./:/workspaces autordf_conda_packaging:latest
cd /workspaces
conda build recipe
  • The Conda Python Package is now available under: /home/developer/conda-bld/linux-64/autordf-1.0.0-py310h3fd9d12_0.tar.bz2 Note that the conda build can be exectued by using Dockerfile.buildconda as a Dev Container.

To change the version of the package, modify version variable in recipe/meta.yaml

About

A framework for C++ proxy class generation from Web Ontology Language

Resources

Stars

7 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages