Hi Eric, If the pipeline AE has no use for "out-of-typesystem" data in the serialized CASes, it can deserialize using the "lenient" flag. Only types in the AE typesystem will be put into the pipeline CAS.
Is that all you need? Eddie On Thu, Mar 15, 2012 at 10:38 AM, Eric Riebling <[email protected]> wrote: > I have a pipeline with it's own type system. > I also have deserialized, annotated CASes on disk with a different type > system. > Suppose I want an Analysis Engine in the pipeline to read in the > deserialized > CASes in order to obtain annotations and 'do things with them' > > I understand some limitations in the UIMA framework prevent this, but > could it be done by making the first type system include that of the > CASes to deserialize? > > Also, it would necessitate creating new CASes within the Analysis Engine. > I could think of several approaches, and have tried some without success: > > * Create a new, 'temporary' View in the AE's process() method, obtain a > JCas, obtain it's CAS, and use that to store the deserialized CASes > (seems to mangle the original CAS and break downstream AEs in the > pipeline, > and seems to not be able to find any annotations in the deserialized > CAS) > > * Use the CAS in the process() method to store the deserialized CASes > (also mangles the original CAS, breaks downstream AEs, but DOES > permit obtaining annotations from the deserialized CASes) > > * Make the Analysis Engine be a CAS Multiplier, and deserialize into > a CAS created with createEmtpyCas() > (I haven't tried this yet) > > It's kind of a use case for a hybrid Component that behaves in some ways > like > an AE (has a process() method), in some ways like XMI Collection Reader, and > in some ways like a CAS Multiplier. > > But it's a useful use case! It is also a very bizarre one becuase you could > almost think of it as a pipeline within a pipeline, which processes a set > of deserialized annotated XMI documents, within a pipeline that processes > ... > in our case, a Question Answering system with question keyterms, > ranked lists of documents and answer candidates.
