Aperture is a Java framework for extracting and querying full-text content and metadata from various information systems. It could crawl and extract information from File system, Websites, Mail boxes and Mail servers. It supports various file formats like Office, PDF, Zip and lot more. Metadata information is extracted from image files. Aperture has a strong focus on semantics, metadata extracted could be mapped to predefined properties.

Aperture - Java framework for getting data and metadata

SMILA is an extensible framework for building search solutions to access unstructured information in the enterprise. Besides providing essential infrastructure components and services, SMILA also delivers ready-to-use add-on components, like connectors to most relevant data sources. Using the framework as their basis will enable developers to concentrate on the creation of higher value solutions, like semantic driven applications etc. It has a crawler / agent, which pushes the data. The data is then	processed by various filters. BPEL workflows could be created using its WorkerManager. The pipeline could be well managed by this workflow engine. 
 <img src="/AppImages/Article/smila_img1.jpg" alt="" class="float-center">

SMILA is an extensible framework for building search solutions to access unstructured information in the enterprise. Besides providing essential infrastructure components and services, SMILA also delivers ready-to-use add-on components, like connectors to most relevant data sources. Using the framework as their basis will enable developers to concentrate on the creation of higher value solutions, like semantic driven applications etc.

SMILA - Unified information access architecture

UIMA analyzes large volumes of unstructured information in order to discover knowledge that is relevant to an end user. It is a framework with different set of components. The components include Language Identification, Language specific segmentation, Sentence boundary detection, Entity detection (person/place names) etc. The framework manages these components and the data flows between them. It could detects entities like email addresses, URLs, phone numbers, zip codes or any other entity based on regular expressions.
 <img src="/AppImages/Article/uima-img1.jpg" alt="" class="float-center">

UIMA analyzes large volumes of unstructured information in order to discover knowledge that is relevant to an end user. It is a framework with different set of components. The components include Language Identification, Language specific segmentation, Sentence boundary detection, Entity detection (person/place names) etc. The framework manages these components and the data flows between them.

UIMA - Unstructured information management architecture

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Aperture - Java framework for getting data and metadata

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UIMA - Unstructured information management architecture

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Aperture - Java framework for getting data and metadata

SMILA - Unified information access architecture

UIMA - Unstructured information management architecture

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