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INDEX Information structuring and content analysis solution

Index - Overview

Index is a software solution designed to extract, format and re-use the information collected during a deep linguistic analysis (content analysis) of a text database (i.e. of a collection of textual files) which can include millions of documents.

Because it makes possible to reduce times and costs of information processing, to build strategic knowledge bases, to improve the quality of the answers, and to classify in real time, Index answers to most of the problems of information processing, in particular for Customers Relationship Management (CRM), Natural Language Information Retrieval (for example to build a Semantic Search Engine), Knowledge Management (KM), Business Intelligence and Strategic Watch.

Because the Index solutions are built from dictionaries including hundreds of thousands of preset semantic classifications (designed with Tropes Zoom), they can be integrated very quickly in your information system.

Index belongs to the build-to-order offer of Acetic and was made to be implemented within the framework of corporate data processing solutions, but not as an autonomous software package. In other words, Index is made to process an information flow (Press releases, Emails, Web pages, News, etc.) by which the contents "enriched" will be transmitted to other software (Workflow, CRM, electronic mail, etc.) that will undertake to have the results.

Diagram of operation

To implement a Index solution, you have to:
1 - Organize the textual files on a server.
2 - Process out a semantic analysis of a whole of files.
3 - Recover and exploit the results obtained in a target application.

The result of the semantic analysis was designed to be used inside any Relational Database Manager System (RDBMS), and can be exploited on the majority of the current data-processing infrastructures (Unix, Mainframes, etc)

Index can be exploited in a transparent way directly inside your applications, using a simple Application Programming Interface (API).

Data handling capacity

Index can work in parallel on multiple servers. This architecture allows a progressive processing load (you just have to add servers to increase linearly the computing power available). It is naturally fault-tolerant (the stop of a server does not cause the stop of the whole system). The data handling capacity of Index is thus almost unlimited.

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