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A simple or primitive UIMA Analysis Engine (AE) contains a single annotator. AEs, however, may be defined to contain other AEs organized in a workflow. These more complex analysis engines are called Aggregate Analysis Engines.

Annotators tend to perform fairly granular functions, for example language detection, tokenization or part of speech detection. These functions typically address just part of an overall analysis task. A workflow of component engines may be orchestrated to perform more complex tasks.

An AE that performs named entity detection, for example, may include a pipeline of annotators starting with language detection feeding tokenization, then part-of-speech detection, then deep grammatical parsing and then finally named-entity detection. Each step in the pipeline is required by the subsequent analysis. For example, the final named-entity annotator can only do its analysis if the previous deep grammatical parse was recorded in the CAS.

Aggregate AEs are built to encapsulate potentially complex internal structure and insulate it from users of the AE. In our example, the aggregate analysis engine developer acquires the internal components, defines the necessary flow between them and publishes the resulting AE. Consider the simple example illustrated in Figure 2.3, “Sample Aggregate Analysis Engine” where “MyNamed-EntityDetector” is composed of a linear flow of more primitive analysis engines.

Users of this AE need not know how it is constructed internally but only need its name and its published input requirements and output types. These must be declared in the aggregate AE’s descriptor. Aggregate AE’s descriptors declare the components they contain and a flow specification. The flow specification defines the order in which the internal component AEs should be run. The internal AEs specified in an aggregate are also called the delegate analysis engines. The term “delegate” is used because aggregate AE’s are thought to “delegate” functions to their internal AEs.

In UIMA 2.0, the developer can implement a “Flow Controller” and include it as part of an aggregate AE by referring to it in the aggregate AE’s descriptor. The flow controller is responsible for computing the “flow”, that is, for determining the order in which of delegate AE’s that will process the CAS. The Flow Contoller has access to the CAS and any external resources it may require for determining the flow. It can do this dynamically at run-time, it can make multi-step decisions and it can consider any sort of flow specification included in the aggregate AE’s descriptor. See Chapter 4, Flow Controller Developer’s Guide for details on the UIMA Flow Controller interface.

We refer to the development role associated with building an aggregate from delegate AEs as the Analysis Engine Assembler .

The UIMA framework, given an aggregate analysis engine descriptor, will run all delegate AEs, ensuring that each one gets access to the CAS in the sequence produced by the flow controller. The UIMA framework is equipped to handle different deployments where the delegate engines, for example, are tightly-coupled (running in the same process) or loosely-coupled (running in separate processes or even on different machines). The framework supports a number of remote protocols for loose coupling deployments of aggregate analysis engines, including SOAP (which stands for Simple Object Access Protocol, a standard Web Services communications protocol).

The UIMA framework facilitates the deployment of AEs as remote services by using an adapter layer that automatically creates the necessary infrastructure in response to a declaration in the component’s descriptor. For more details on creating aggregate analysis engines refer to Chapter 2, Component Descriptor Reference The component descriptor editor tool assists in the specification of aggregate AEs from a repository of available engines. For more details on this tool refer to Chapter 1, Component Descriptor Editor User’s Guide.

The UIMA framework implementation has two built-in flow implementations: one that support a linear flow between components, and one with conditional branching based on the language of the document. It also supports user-provided flow controllers, as described in Chapter 4, Flow Controller Developer’s Guide. Furthermore, the application developer is free to create multiple AEs and provide their own logic to combine the AEs in arbitrarily complex flows. For more details on this the reader may refer to Section 3.2, “Using Analysis Engines”.

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