Apertium going SOA
The aim of this project is to design and implement a Client-Server architecture for Apertium. Actually, to translate many documents, many Apertium processes are created and each one of them loads transducers, grammars etc. from scratch, causing a waste of resources and, so, a reduction of scalability. To solve this problem, a solution is to implement an Apertium Server (or Daemon) that doesn't need to reload all the resources for every translation task. In addition, this kind of service would be able to handle multiple request at the same time (useful, for example, in a Web 2.0-oriented enviroment), would improve scalability, and could be easily included into existing business processes in an existing IT infrastructure with the minimum effort.
Server-Client communication protocol
A possible communication protocol to invoke Apertium Server's functionalities is XML-RPC, a remote procedure call protocol which uses XML to encode its calls and HTTP as a transport mechanism. The list of methods the Apertium Server will offer will be probably similar to the following:
- array<string> GetAvailableModes();
- Translate(string Message, string modeName);
A possible Use Case: an Healthcare organization
In Healthcare Information Systems (HIS), to improve external services' access and integration, there's a general trend to implement IT infrastructure based on a SOA (Service-Oriented Architecture) model; in this use case, I show how an Healthcare Organization of non English speaking countries can greatly benefit of the integration of a Translation Service implemented using Apertium in their IT infrastructure.
MetaMap is an online application that allows mapping text to UMLS Metathesaurus concepts, which is very useful interoperability among different languages and systems within the biomedical domain. MetaMap Transfer (MMTx) is a Java program that makes MetaMap available to biomedical researchers. Currently MetaMap only works effectively on text written in the English language, which difficult the use of UMLS Metathesaurus to extract concepts from non-English biomedical texts.
A possible solution to this problem is to translate the non-English biomedical texts into English, so MetaMap (and similar Text Mining tools) can effectively work on it.