Search Results for "databases" - Page 6

CoSD is a tool for searching and demonstrating code structure based on graph database. Since some commercial code is involved in the industrial version of CoSD , we just give out a baseline version of it. We also provide a quick demo for this baseline version. To use CoSD, please read the file readme.txt at first.

...The access to knowledge base is realized through a "server" to which you can connect an unlimited number of "clients" as one computer can run multiple servers that are located in different folders and listen to different ports. Each server can create and access the unlimited knowledge bases and databases associated with other servers located on the Internet or Intranet. Knowledge bases managed by artificial intelligence language, such as executable code can be written as in external files and in the elements of the base. The Knowledge Base is powerful enough, it can be used for indexing web contents.

...It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning.

Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).

A developing environment for abstract board games. The user declares game rules in the IDE using a high-level visual language; Abstromatic plays it locally or via Internet, computes databases, openings, heuristics, variants, strategies and much more!

...The design provides training and optimization parameters that have been characterized using several detectors and descriptors for several input datasets. Evaluation tests performed on public image databases allow to compare obtained results with previously published literature. All the tools and resources used in this project are Open Source licensed.

WQuery is a domain-specific query language designed to process WordNet-like lexical databases. It may be used as a standalone application or as an API to a lexical database in Java based systems.

SpatialML is a markup language for representing spatial expressions in natural language documents. The goal is to allow for better integration of text collections with resources such as databases that provide spatial information about a domain.

Mandarax is a pure Java implementation of a rule engine. It supports mutiples types of facts and rules based on reflection, databases, EJB etc, supporting XML standards (RuleML 0.8). It provides a J2EE compliant inference engine using backward chaining.

Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.

Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.

sexyalice is a chatterbot for IRC networks. It does not have any internal databases, but instead connects to alicebot's website to get answers. It keeps sessions for each user, and has many other nice features. Check code for details.

openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.

INDUS is a porject for knowledge acquisition and data integration from heterogeneous distributed data, particularly from bio-informatics databases

KAON is an ontology management infrastructure targeted for business applications. It includes a comprehensive tool suite allowing easy ontology creation and management. Persistence mechanisms of KAON are based on relational databases.