Interesting topics - Intelligent Systems Group
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Interesting topics - Intelligent Systems Group
Interesting resources and news for research on intelligent systems
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OpenIMAJ: Open Intelligent Multimedia Analysis

OpenIMAJ: Open Intelligent Multimedia Analysis | Interesting topics - Intelligent Systems Group | Scoop.it
OpenIMAJ is an award-winning set of libraries and tools for multimedia content analysis and content generation.
cif's insight:

OpenIMAJ is an award-winning set of libraries and tools for multimedia content analysis and content generation. OpenIMAJ is very broad and contains everything from state-of-the-art computer vision (e.g. SIFT descriptors, salient region detection, face detection, etc.) and advanced data clustering, through to software that performs analysis on the content, layout and structure of webpages.

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About YASGUI

About YASGUI | Interesting topics - Intelligent Systems Group | Scoop.it

YASGUI (Yet Another Sparql GUI) is a web application to query any SPARQL endpoint. I work on this tool as a pet-project, as I could not find any other SPARQL graphical user interface which fits all my requirements:

Work on all endpoints (not just the CORS-enabled ones)Multi-platform (i.e. a web application)Easy-to-work user interface (i.e. prefix fetching, syntax highlighting/checking, storing queries)
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Wandora - WandoraWiki

Wandora - WandoraWiki | Interesting topics - Intelligent Systems Group | Scoop.it

Wandora is a general purpose information management application. Wandora is written in Java programming language. Wandora's internal data model is based on Topic Maps. Wandora is a desktop application with a graphical user interface, layered data storage, huge collection of data extraction, import and export options and embedded HTTP server. Wandora's license is GNU GPL version 3.

cif's insight:

Herramienta interesante para combinar y visualizar datos. Tiene extractores para muchas fuentes (Twitter, CMSs, ...)

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Wikilinks Corpus : Learning from Big Data: 40 Million Entities in Context

cif's insight:

To provide that help, we are releasing the Wikilinks Corpus: 40 million total disambiguated mentions within over 10 million web pages -- over 100 times bigger than the next largest corpus (about 100,000 documents, see the table below for mention and entity counts). The mentions are found by looking for links to Wikipedia pages where the anchor text of the link closely matches the title of the target Wikipedia page. If we think of each page on Wikipedia as an entity (an idea we’ve discussed before), then the anchor text can be thought of as a mention of the corresponding entity.

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Research Blog: From Words to Concepts and Back: Dictionaries for Linking Text, Entities and Ideas

cif's insight:

The data set contains triples, each consisting of (i) text, a short, raw natural language string; (ii) url, a related concept, represented by an English Wikipedia article's canonical location; and (iii) count, an integer indicating the number of times text has been observed connected with the concept's url. Our database thus includes weights that measure degrees of association. For example, the top two entries for football indicate that it is an ambiguous term, which is almost twice as likely to refer to what we in the US call soccer:

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Bigdata - Big Data for Semantic Apps

Bigdata - Big Data for Semantic Apps | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

Proyecto open source que ofrece una base de datos RDF escalable hasta 50 billones de triplas.

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SuperBowl Sentiment Analysis using Hadoop, Hbase and Twitter4j

SuperBowl Sentiment Analysis using Hadoop, Hbase and Twitter4j | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

Ejemplo de aplicación de Big Data a Análisis de Sentimientos con Hadoop

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Tim Berners-Lee and Linked Data on TED.com

20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he's building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together.
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ReVerb - Open Information Extraction Software

ReVerb - Open Information Extraction Software | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

ReVerb is a program that automatically identifies and extracts binary relationships from English sentences. ReVerb is designed for Web-scale information extraction, where the target relations cannot be specified in advance and speed is important.

 
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CLiPS

CLiPS | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

Biblioteca python para análisis de sentimientos

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TweetUM: Twitter-based User Modeling Framework

TweetUM: Twitter-based User Modeling Framework | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

TweetUM is the Twitter-based User Modeling Frameworkdeveloped by the Web Information Systems group at TU Delft. It features a set of strategies that allow for semantic enrichment of Twitter messages (tweets) and relates tweets to external (Semantic) Web resources. TweetUM offers functionality such as entity recognition or discovery of relations between entities. Based on enriched tweets, it provides a variety of user modeling strategies that are applied for various applications such as personalized news recommendations. Some TweetUM highlights:

semantic enrichment by linking tweets with (Semantic) Web resourcesuser modeling with temporal dynamicsTUMS Web service makes TweetUM features available to other Web applicationspersonalization based on TweetUM: news recommendations, personalized faceted search
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ws4j - WordNet Similarity for Java

ws4j - WordNet Similarity for Java | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

WS4J (WordNet Similarity for Java) provides a pure Java API for several published Semantic Relatedness/Similarity algorithms listed in the table below. Download a jar file from the "Downloads" tab and you can immediately use WS4J on Princeton's English WordNet 3.0 & NICT's Japanese WordNet 0.9, from your Java program. The codebase is mostly a Java re-implementation of WordNet-Similarity-2.05 (Perl), with some test cases for verifying the same logic. WS4J designed to be thread-safe.

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aima-python - Python implementation of algorithms from Russell and Norvig's 'Artificial Intelligence: A Modern Approach' - Google Project Hosting

aima-python - Python implementation of algorithms from Russell and Norvig's 'Artificial Intelligence: A Modern Approach' - Google Project Hosting | Interesting topics - Intelligent Systems Group | Scoop.it
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NodeBox - Linguistics

NodeBox -  Linguistics | Interesting topics - Intelligent Systems Group | Scoop.it

With the Nodebox English Linguistics library you can do grammar inflection and semantic operations on English content. You can use the library to conjugate verbs, pluralize nouns, write out numbers, find dictionary descriptions and synonyms for words, summarise texts and parse grammatical structure from sentences.

The library bundles WordNet (using Oliver Steele's PyWordNet), NLTK, Damian Conway'spluralisation rules, Bermi Ferrer's singularization rules, Jason Wiener's Brill tagger, several algorithms adopted from Michael Granger's Ruby Linguistics module, John Wiseman's implementation of the Regressive Imagery Dictionary, Charles K. Ogden's list of basic Englishwords, and Peter Norvig's spelling corrector.

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Yelp Dataset Challenge

Yelp is a fun and easy way to find, recommend and talk about what's great and not so great in San Francisco and beyond.
cif's insight:

If you are a student and come up with an appealing project, you’ll have the opportunity to win one of ten Yelp Dataset Challenge awards for $5,000. Yes, that’s $5,000 for showing us how you use our data in insightful, unique, and compelling ways.

 
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11 Billion Clues in 800 Million Documents: A Web Research Corpus Annotated with Freebase Concepts

cif's insight:

When you type in a search query -- perhaps Plato -- are you interested in the string of letters you typed? Or the concept or entity represented by that string? But knowing that the string represents something real and meaningful only gets you so far in computational linguistics or information retrieval -- you have to know what the string actually refers to. The Knowledge Graph and Freebase are databases of things, not strings, and references to them let you operate in the realm of concepts and entities rather than strings and n-grams.

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INEX Initiative

INEX Initiative | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

Initiative for evaluating IR on linked data and social media

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Tutorial on Twitter text mining

Update: An expanded version of this tutorial will appear in the new Elsevier book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by Gary Miner et. al which...
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Ollie - Open Information Extraction Software

Ollie - Open Information Extraction Software | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

Ollie is software that automatically identifies and extracts binary relationships from English sentences. Ollie is designed for information extraction, where the target relations cannot be specified in advance and speed is important.

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sentiment-analyzer

sentiment-analyzer | Interesting topics - Intelligent Systems Group | Scoop.it
sentiment-analyzer - Tweets Sentiment Analyzer
cif's insight:

The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites. At the moment, this project does a sentiment analysis on tweets (from twitter.com). It has two modes of operation

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cif's curator insight, May 7, 2013 6:28 PM

The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites. At the moment, this project does a sentiment analysis on tweets (from twitter.com). It has two modes of operation

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Home - loomp.org - Home of the semantic content authoring engine

Home - loomp.org - Home of the semantic content authoring engine | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

Semantic technologies, and in the first place linked data, promise further automation by turning the Web of information into a Web of interconnected and machine processable data sources. Although these technologies have reached an acceptable mature state, they are not broadly used in commercial and public Web applications. In our opinion this is mainly caused by the lack of user-tailored and easy-to-use tool support for creating and publishing semantic contents.

With the One Click Annotator (OCA) we address the issue of missing tool support for creating semantic content by non-expert users. The OCA is an editor for Web browsers for annotating words and phrases with references to ontology concepts. Our main design goal is to simplify the annotation process and provide a tool that non-expert users can easily use to create semantic content:

clear and intuitive user interfacesimple and well-described vocabularieslet users focus on the task of writing text.
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Ted Pedersen - WordNet::Similarity

Ted Pedersen - WordNet::Similarity | Interesting topics - Intelligent Systems Group | Scoop.it
cif's insight:

This is a Perl module that implements a variety of semantic similarity and relatedness measures based on information found in the lexical database WordNet. In particular, it supports the measures of Resnik, Lin, Jiang-Conrath, Leacock-Chodorow, Hirst-St.Onge, Wu-Palmer, Banerjee-Pedersen, and Patwardhan-Pedersen. 

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