Search Results for "apache framework"
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Showing 7 open source projects for "apache framework"
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panFMP is a generic framework suitable for harvested XML metadata that is searchable through Apache Lucene without any additional RDBMS. Fields can be defined by XPath allowing for full text queries on all types of fields including numerical ranges. The code was moved to Github: https://github.com/pangaea-data-publisher/panfmp
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YouSeer is an open source search engine framework, which was built on top of other open source components. It’s part of the general SeerSuite framework. YouSeer utilizes Hereitrix as a crawler and solr as an indexing system.
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eXtensible Text Framework (XTF)
Framework for search and display of heterogenous document collections.
NOTICE: This code repository is deprecated. Please visit https://github.com/cdlib/xtf for the latest updates. Obsolete Description: The eXtensible Text Framework (XTF) is an architecture that supports searching across collections of heterogeneous textual data (XML, PDF, HTML, text, and more), and the presentation of results and documents in a highly configurable manner. Includes highly customized versions of the proven open-source components Lucene and Saxon. -
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Kneobase is an enterprise search engine, based upon the Lucene search engine and the Spring framework. It allows to perform full-text search across many different content sources. It is highly adaptable out-of-the-box and has a pluggable architecture.
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DBPrism is a framework to generate dynamic XML from a database, it provides an high performance DBGenerator for Cocoon2. Also is a J2EE replacement for Oracle mod_plsql. This project also includes a Restlet-Oracle connector exam. and Lucene Domain In
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The implementation of Bee Hive @ Work algorithm that simulates the foraging behavior of honey bees in nature. The aim is to provide an extensible framework that can be used by researchers to simply create new applications of this algorithm.
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A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
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