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MEMEX-software.json
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MEMEX-software.json
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[
{
"DARPA Program": "MEMEX",
"Program Teams": [
"InferLink"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Landmark Extractor",
"Internal Link": "",
"External Link": "https://github.com/inferlink/extraction",
"Public Code Repo": "https://github.com/inferlink/extraction.git",
"Instructional Material": "https://github.com/inferlink/extraction",
"Stats": "extraction",
"Description": "Library to extract semi-structured data from similar web pages based on rules. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Text Extraction"
],
"New Date": "20150729",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Carnegie Mellon University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "TAD (Temporal Anomaly Detector)",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Carnegie+Mellon+University",
"External Link": "https://github.com/autonlab/tad",
"Public Code Repo": "https://github.com/autonlab/tad.git",
"Instructional Material": "https://github.com/autonlab/tad",
"Stats": "TAD",
"Description": "Temporal scan anomaly detection algorithm for time series. (Python)",
"Internal Code Repo": "",
"License": [
"MIT"
],
"Languages": [
"Python"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Anomaly detection"
],
"Categories": [
"Time series statistics"
],
"New Date": "20150729",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"MIT-LL"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Text.jl",
"Internal Link": "",
"External Link": "https://github.com/mit-nlp/Text.jl",
"Public Code Repo": "https://github.com/mit-nlp/Text.jl.git",
"Instructional Material": "",
"Stats": "Text.jl",
"Description": "Text.jl provided numerous tools for text processing optimized for the Julia language. Functionality supported include algorithms for feature extraction, text classification, and language identification. (Julia)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Julia"
],
"Platform Requirements": [
""
],
"Dependent modules": [
"MLBase"
],
"Dependent module URLs": [
"Dependent Modules can all be downloaded from the Julia Central Repository"
],
"Component modules": [
"(Devectorize, DataStructures, GZip, Iterators) Stage, Ollam"
],
"Component module URLs": [
"Component modules listed in parentheses are available via the Julia Central Repository. Stage and Ollam are available for manual install via https://github.com/saltpork/Stage.jl and https://github.com/mit-nlp/Ollam.jl"
],
"Industry": [
""
],
"Functionality": [
"Text Processing",
"Metadata Extraction",
"Machine Learning"
],
"Categories": [
"Natural Language Processing"
],
"New Date": "20150414",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"SRI International"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Hidden Service Forum Spider",
"Internal Link": "",
"External Link": "http://public.mtc.sri.com/MEMEX/",
"Public Code Repo": "http://public.mtc.sri.com/MEMEX/forumSpider.tar.gz",
"Instructional Material": "",
"Stats": "",
"Description": "An interactive web forum analysis tool that operates over Tor hidden services. This tool is capable of passive forum data capture and posting dialog at random or user-specifiable intervals. (Python)",
"Internal Code Repo": "",
"License": [
"SRI open source license"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux"
],
"Dependent modules": [
"scrapy",
"torsocks"
],
"Dependent module URLs": [
"http://www.scrapy.org",
"https://github.com/dgoulet/torsocks/"
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Anonymity",
"privacy",
"censorship circumvention"
],
"Categories": [
"Infrastructure"
],
"New Date": "20150414",
"Update Date": "20150414"
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"SRI International"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "HSProbe (The Tor Hidden Service Prober)",
"Internal Link": "",
"External Link": "http://public.mtc.sri.com/MEMEX/",
"Public Code Repo": "http://public.mtc.sri.com/MEMEX/hsprobe-2.1.tar.gz",
"Instructional Material": "",
"Stats": "",
"Description": "HSProbe is a python multi-threaded STEM-based application designed to interrogate the status of Tor hidden services (HSs) and extracting hidden service content. It is an HS-protocol savvy crawler, that uses protocol error codes to decide what to do when a hidden service is not reached. HSProbe tests whether specified Tor hidden services (.onion addresses) are listening on one of a range of pre-specified ports, and optionally, whether they are speaking over other specified protocols. As of this version, support for HTTP and HTTPS is implemented. Hsprobe takes as input a list of hidden services to be probed and generates as output a similar list of the results of each hidden service probed. (Python)",
"Internal Code Repo": "",
"License": [
"SRI open source license"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux"
],
"Dependent modules": [
"socksipy",
"torstem"
],
"Dependent module URLs": [
"http://code.google.com/p/socksipy-branch/",
"https://stem.torproject.org/"
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Anonymity",
"privacy",
"censorship circumvention"
],
"Categories": [
"Infrastructure"
],
"New Date": "20150414",
"Update Date": "20150414"
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"The Tor Project",
"SRI International"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Tor",
"Internal Link": "",
"External Link": "https://www.torproject.org/",
"Public Code Repo": "https://gitweb.torproject.org/tor.git/",
"Instructional Material": "",
"Stats": "",
"Description": "The core software for using and participating in the Tor network. (C)",
"Internal Code Repo": "",
"License": [
"BSDv3"
],
"Languages": [
"C"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Anonymity",
"privacy",
"censorship circumvention"
],
"Categories": [
"Infrastructure"
],
"New Date": "20150413",
"Update Date": "20150413"
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Diffeo, Inc."
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Dossier Stack",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Dossier+Stack",
"External Link": "http://dossier-stack.readthedocs.org",
"Public Code Repo": "https://github.com/dossier",
"Instructional Material": "",
"Stats": "",
"Description": "Dossier Stack provides a framework of library components for building active search applications that learn what users want by capturing their actions as truth data. The frameworks web services and javascript client libraries enable applications to efficiently capture user actions such as organizing content into folders, and allows back end algorithms to train classifiers and ranking algorithms to recommend content based on those user actions. (Python, JavaScript, Java)",
"Internal Code Repo": "",
"License": [
"MIT"
],
"Languages": [
"Python",
"JavaScript",
"Java"
],
"Platform Requirements": [
"Available as a docker container or can install on python 2.7 via pip"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"active search and recommendations framework",
"machine learning tools for active ranking"
],
"Categories": [
"Machine Learning"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Carnegie Mellon University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "TJBatchExtractor",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Carnegie+Mellon+University",
"External Link": "https://github.com/mille856/CMU_memex_kickoff",
"Public Code Repo": "https://github.com/mille856/CMU_memex.git",
"Instructional Material": "",
"Stats": "CMU_memex_kickoff",
"Description": "Regex based information extractor for online advertisements (Java).",
"Internal Code Repo": "",
"License": [
"MIT"
],
"Languages": [
"Java"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Escort"
],
"Functionality": [
"Information extraction"
],
"Categories": [
"Natural Language Processing"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Georgetown University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Dumpling",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Georgetown+University",
"External Link": "http://www.dumplingproject.org",
"Public Code Repo": "https://github.com/jiezhou0731/Dumpling.git",
"Instructional Material": "",
"Stats": "Dumpling",
"Description": "Dumpling implements a novel dynamic search engine which refines search results on the fly. Dumpling utilizes the Winwin algorithm and the Query Change retrieval Model (QCM) to infer the user's state and tailor search results accordingly. Dumpling provides a friendly user interface for user to compare the static results and dynamic results. (Java, JavaScript, HTML, CSS)",
"Internal Code Repo": "https://github.com/jiezhou0731/Dumpling",
"License": [
"Public Domain"
],
"Languages": [
"Java",
"JavaScript",
"HTML",
"CSS"
],
"Platform Requirements": [
"Ubuntu"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Dynamic Information Retrieval",
"Information Retrieval Modeling",
"Session Search",
"Search Engine"
],
"Categories": [
"Information Retrieval",
"Search Algorithms",
"Machine Learning"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Georgetown University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "TREC-DD Annotation",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Georgetown+University",
"External Link": "https://github.com/shawn67/TREC-DD-Annotation-Tool",
"Public Code Repo": "https://github.com/shawn67/TREC-DD-Annotation-Tool.git",
"Instructional Material": "",
"Stats": "TREC-DD-Annotation-Tool",
"Description": "This Annotation Tool supports the annotation task in creating ground truth data for TREC Dynamic Domain Track. It adopts drag and drop approach for assessor to annotate passage-level relevance judgement. It also supports multiple ways of browsing and search in various domains of corpora used in TREC DD. (Python, JavaScript, HTML, CSS)",
"Internal Code Repo": "https://github.com/shawn67/TREC-DD-Annotation-Tool",
"License": [
"Public Domain"
],
"Languages": [
"Python",
"HTML",
"CSS",
"JavaScript"
],
"Platform Requirements": [
"Chrome 4.0+",
"Firefox 3.5+",
"IE 9+",
"Safari 6.0+"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"TREC",
"Dynamic Domain",
"Human annotation",
"Evaluation",
"Search Result Evaluation"
],
"Categories": [
"Search Result Evaluation"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Georgetown University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "CubeTest",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Georgetown+University",
"External Link": "https://github.com/trec-dd/trec-dd-metrics/tree/master/cube-test/cubetest",
"Public Code Repo": "https://github.com/trec-dd/trec-dd-metrics.git",
"Instructional Material": "",
"Stats": "cubetest",
"Description": "Official evaluation metric used for evaluation for TREC Dynamic Domain Track. It is a multiple-dimensional metric that measures the effectiveness of complete a complex and task-based search process. (Perl)",
"Internal Code Repo": "https://github.com/trec-dd/trec-dd-metrics/tree/master/cube-test/cubetest",
"License": [
"Public Domain"
],
"Languages": [
"Perl"
],
"Platform Requirements": [
"Unix"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"TREC Dynamic Domain",
"Evaluation",
"System Evaluation",
"Retrieval Algorithm Evaluation"
],
"Categories": [
"Search Result Evaluation"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Autologin",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/autologin",
"Public Code Repo": "",
"Instructional Material": "",
"Stats": "autologin",
"Description": "(please send an email to contact@hyperiongray.com to request access to the repository) AutoLogin is a utility that allows a web crawler to start from any given page of a website (for example the home page) and attempt to find the login page, where the spider can then log in with a set of valid, user-provided credentials to conduct a deep crawl of a site to which the user already has legitimate access. AutoLogin can be used as a library or as a service. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Login",
"Autologin"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Formasaurus",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/Formasaurus",
"Public Code Repo": "",
"Instructional Material": "",
"Stats": "Formasaurus",
"Description": "(please send an email to contact@hyperiongray.com to request access to the repository) Formasaurus is a Python package that tells users the type of an HTML form: is it a login, search, registration, password recovery, join mailing list, contact form or something else. Under the hood it uses machine learning. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Form Identification"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "HG Profiler",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/hgprofiler",
"Public Code Repo": "",
"Instructional Material": "",
"Stats": "hgprofiler",
"Description": "(please send an email to contact@hyperiongray.com to request access to the repository) HG Profiler is a tool that allows users to take a list of entities from a particular source and look for those same entities across a pre-defined list of other sources. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Personas",
"Entity Research"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "SourcePin",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/memex-pinterest",
"Public Code Repo": "",
"Instructional Material": "",
"Stats": "memex-pinterest",
"Description": "(please send an email to contact@hyperiongray.com to request access to the repository) SourcePin is a tool to assist users in discovering websites that contain content they are interested in for a particular topic, or domain. Unlike a search engine, SourcePin allows a non-technical user to leverage the power of an advanced automated smart web crawling system to generate significantly more results than the manual process typically does, in significantly less time. The User Interface of SourcePin allows users to quickly across through hundreds or thousands of representative images to quickly find the websites they are most interested in. SourcePin also has a scoring system which takes feedback from the user on which websites are interesting and, using machine learning, assigns a score to the other crawl results based on how interesting they are likely to be for the user. The roadmap for SourcePin includes integration with other tools and a capability for users to actually extract relevant information from the crawl results. (Python, JavaScript)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python",
"JavaScript"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Information Retrieval",
"Search",
"Machine Learning"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
"Diffeo"
],
"Sub-contractors": [
""
],
"Software": "Frontera",
"Internal Link": "",
"External Link": "http://frontera.readthedocs.org/en/latest/",
"Public Code Repo": "https://github.com/scrapinghub/frontera.git",
"Instructional Material": "",
"Stats": "frontera",
"Description": "Frontera (formerly Crawl Frontier) is used as part of a web crawler, it can store URLs and prioritize what to visit next. (Python)",
"Internal Code Repo": "",
"License": [
"BSD"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Machine Learning"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Distributed Frontera",
"Internal Link": "",
"External Link": "http://distributed-frontera.readthedocs.org/en/latest/",
"Public Code Repo": "https://github.com/scrapinghub/distributed-frontera.git",
"Instructional Material": "",
"Stats": "distributed-frontera",
"Description": "Distributed Frontera is an extension to Frontera (https://github.com/scrapinghub/frontera), providing replication, sharding, and isolation of all parts of Frontera-based crawler to scale and distribute it. Frontera (also in the DARPA Open Catalog) is a crawl frontier framework, the part of a crawling system that decides the logic and policies to follow when a crawler is visiting websites (what pages should be crawled next, priorities and ordering, how often pages are revisited, etc.). (Python)",
"Internal Code Repo": "",
"License": [
"BSD"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Distribruted",
"Broad Crawl"
],
"Categories": [
"Data Collection"
],
"New Date": "20150807",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Arachnado",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/arachnado",
"Public Code Repo": "",
"Instructional Material": "",
"Stats": "arachnado",
"Description": "(please send an email to contact@hyperiongray.com to request access to the repository) Arachnado is a simple management interface for launching a deep crawl of a specific website. It provides a Tornado-based HTTP API and a web UI for a Scrapy-based crawler. (Python)",
"Internal Code Repo": "",
"License": [
"MIT"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Deep Crawl"
],
"Categories": [
"Data Collection"
],
"New Date": "20150807",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],