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Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.
Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
BpMatch is an algorithm that, given 2 strings S and T, compute the maximum coverage of T using only subequence or reversed complemented subsequences of S, of minimum length l.
Apolda is a plugin for the Gate framework (see http://sourceforge.net/projects/gate/) that annotates texts with labels of concepts from an arbitrary OWL-ontology.
An open-source corpus analysis class library written in C#. GUI of Tenka Text 0.1.3 comes with Wordlister - an advanced, extremely fast graphical wordlist tool and a simple regex concordance tool. Tenka Text - the open-source answer to WordSmith Tool
Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.
ssSVMToolbox is a Java application capable of performing supervised and semi-supervised learning tasks with Support Vector Machines. It is based on Spring (http://springframework.org/), RapidMiner (http://www.rapidminer.com) and Eclipse RCP (http://eclip
A toolkit with using Suffix Array indexing for empirical natural language processing. Providing functions such as searching the occurrences of n-grams in the corpus and suffix array language model which can use arbitrarily long history.
Pricem is a "Desktop Application" that implements a Mathematic Model for predicting the impact of Intellectual Property Rights in the price of drugs. This project involves organizations like Panamerican Health Organization and other entities interested
OpenEphyra is an open framework for question answering (QA). It retrieves answers to natural language questions from the Web and other sources. Visit http://www.ephyra.info/ for more details and information on joining this open research initiative.
HanNanum is a Korean Morphological Analyzer and POS Tagger. A plug-in component-based architecture is adapted to the new Java version for flexible use. You can find the work flow for morphological analysis, POS tagging, noun extraction, etc.
Contact:
kschoi@kaist.ac.kr
hjjeong@world.kaist.ac.kr
MetaCoDe is an open source project which purpose is the automated semantic tagging of medical texts, based on the UMLS metathesaurus. Targeted languages are French and English languages in the first time.
An elevator (lift) system analysis and design tool. The main goal of the project is to produce the ultimate platform for comparing elevator control algorithms (call scheduling systems).
The Wikipedia Miner toolkit provides simplified access to Wikipedia. This open encyclopedia represents a vast, constantly evolving multilingual database of concepts and semantic relations; a promising resource for nlp and related research.
ELIA(Eyegaze Language Integration Analysis) supports the analysis of eye-tracking data for studies in language processing. ELIA eases early analysis of data to enable iterative development of experiments in response to spoken language.
Digitizer program to manually digitize data from graphic images. Allows for multiple calibrations and source image files for a single set of data series. Also includes an auto-export feature to streamline interoperability.
TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
The Simple Semantic Classifier classifies short chunks of natural language text into broad semantic classes that correspond to the OBO ontologies provided as input.
SEMANTIXS is a semantic information extraction system that can extract, represent and visualize domain-specific information from free-text in the form of complex (and simple) relationships. Refer - http://www.cs.iastate.edu/~semantix/ for more info.