Wandora is a general purpose information extraction, management, and publishing application based on Topic Maps and Java. Wandora has graphical user interface, layered presentation of knowledge, several data storage options, huge collection of data extraction, import and export options, embedded server, and open plug-in architecture. Wandora is a FOSS application with GNU GPL license.
Wandora suits well for rapid ontology construction and information mashups. Wandora is capable to extract and convert wide range of open data feeds to Topic Maps format (see image below). Beyond Topic Maps conversion this feature allows Wandora user to aggregate multidimensional information mashups where information from Flickr interleaves with information from GeoNames and YouTube, for example. Wandora's embedded HTTP server enables easy mashup publication. Addition to default HTML page service, Wandora user can easily set up a web service and publish Wandora content with CMSs such as Drupal and Joomla.
Topicmarks is a web tool that will help you summarize English text. It will also store the summaries in its storage space under your account forever – for free, unless you decide to discard items. However, the developer does have a plan to charge “heavy u
"Semantic Checker is a new and still experimental Firefox addon (download it here) highlighting semantic elements in the web page you are currently viewing.
The tool should be used for on-page analysis as well for educational purposes (to see which sites
SenseBot (Beta) is a semantic search engine that generates a text summary of multiple Web pages on the topic of your search query. It uses text mining and multidocument summarization to extract sense from Web pages and present it to the user in a coherent
Recently, however, the popular open source search library, Apache Lucene, and the powerful Lucene-powered search server, Apache Solr, have added spatial capabilities. Lucene and Solr committer Grant Ingersoll walks you through the basics of spatial search
Amberfish is general purpose text retrieval software, developed at Etymon by Nassib Nassar and distributed as open source software under the terms of version 2 of the GNU General Public License (GPL). Its distinguishing features are indexing/search of semi-structured text (i.e. both free text and multiply nested fields), built-in support for XML documents using the Xerces library, structured queries allowing generalized field/tag paths, hierarchical result sets (XML only), automatic searching across multiple databases (allowing modular indexing), TREC format results, efficient indexing, and relatively low memory requirements during indexing (and the ability to index documents larger than available memory). Z39.50 support is available. Other features include Boolean queries, right truncation, phrase searching, relevance ranking, support for multiple documents per file, incremental indexing, and easy integration with other UNIX tools. The architecture is also designed to permit proximity queries; however, they are not fully implemented at present.
Longwell mixes the flexibility of the RDF data model with the effectiveness of the faceted browsing UI paradigm and enables you to visualize and browse any arbitrarely complex RDF dataset, allowing you to build a user-friendly web site out of your data wi
In this project, we propose a strategy for enriching end-user applications with information about their users obtained using three simple strategies: mining information already available on a userùs own personal devices, logging user activity and contexts
a suite of simple-to-use utilities that you can use to apply compression techniques to the process of discovering and learning patterns.
remember being quite impressed by the technology but not their ability to deliver within europe - i hear that has improved
easy to access, autonomic and semantic indexing, searching and deep-searching functionalities.