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

OpenPipe is an open source scalable platform for manipulating a stream of documents. A pipeline is an ordered set of steps / operations performed on a document to convert from its raw form to something ready to be put into the index.
 The operations performed on documents include language detection, field manipulation, POS tagging, entity extraction or submitting the document to a search engine. OpenPipe has support to extract content from database and file system. It could extract content or metadata from any file formats.

OpenPipe is an open source scalable platform for manipulating a stream of documents. A pipeline is an ordered set of steps / operations performed on a document to convert from its raw form to something ready to be put into the index.
  The operations performed on documents include language detection, field manipulation, POS tagging, entity extraction or submitting the document to a search engine.

OpenPipe - Document Pipeline

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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SMILA - Unified information access architecture

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SMILA - Unified information access architecture

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UIMA - Unstructured information management architecture

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