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ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 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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ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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Linked Data Summarization with ABstraction and STATistics

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, '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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ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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Linked Data Summarization with ABstraction and STATistics

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, '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 > 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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ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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Linked Data Summarization with ABstraction and STATistics

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, '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" + '
Skip to content

Repository files navigation

ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

About

Linked Data Summarization with ABstraction and STATistics

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, '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('^' + ".*" + '
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Repository files navigation

ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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Linked Data Summarization with ABstraction and STATistics

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, '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

ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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Linked Data Summarization with ABstraction and STATistics

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ABSTAT Build Status

Prerequisites for running and developing ABSTAT

Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04

Checking out the repository and configuring your local machine

#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development

Controlling ABSTAT

ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:

$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started

Running the Summarization Pipeline

The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:

$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET

The result of the summarization can be found in data/summaries/$DATASET.

Indexing an RDF Summary in Virtuoso

Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN

Indexing a Summary in Solr

To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:

$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN

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Linked Data Summarization with ABstraction and STATistics

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