National Archives of Australia Enterprise Information Manager Project

Semantic Sciences provided a solution that split the overall complex problem into several straightforward activities, with simple interactive tools for each!
National Archives of Australia

The Client: National Archives of Australia

The National Archives of Australia (NAA) can best be described as the memory of our nation – collecting and preserving Australian Government records that reflect our history and identity.

Their collection traces events and decisions that have shaped the nation and the lives of Australians. As well as preserving our history, the National Archives plays a key role in helping to ensure the Australian Government and its departments are effective and accountable to the people.


The Challenge: Automated extraction of metadata and classification of records

NAA staff were manually appraising and disposing of records, a very time consuming, expensive and inconsistent process. NAA required a robust system for automatically recommending disposal actions using document content and metadata.   The image below shows the complexity of the manual process.

NAA disposal process diagram

Semantic Sciences responded with an ambitious proposal to develop a process and technology that aimed to close the wide gap between general disposal authorities such as AFDA Express (a streamlined version of the Administrative Functions Disposal Authority AFDA) and the automatic document sentencing. The proposed enterprise information management tool would support automatic extraction of relevant metadata and auto-classification of records for document sentencing and disposal.

The core challenges Semantic Sciences addressed were:
1. The need to create metadata for documents by automatic inference;
2. Creating auto-classifiers that require little training data, are accurate and whose operation is understandable by people;
3. The need for a simple methodology and technology for creating “gold standard” sentencing decisions for sets of documents which could be used to train and assess the performance of the structured auto-classifier.


The Solution: Enterprise Information Management Tool

Semantic Sciences provided a solution that split the overall complex problem into several straightforward activities, with simple interactive tools for each one. The approach was fast, testable and accurate.

Developed by Semantic Sciences, the Sintelix text and data analytics platform delivered a lot of the capability required by NAA. To support iterative development of automatic sentencing, Semantic Sciences supplemented Sintelix’s existing capabilities with three innovations:

1. A specialised taxonomy viewer/editor for layered taxonomies.

2. A highly productive search-based process for rapidly creating “gold standard” allocations of documents to nodes on the taxonomy tree; and

3. A development system for “structured classification” which coherently combines a network of simple classifiers to determine document sentencing.

The image below shows the auto-classifier tool developed for NAA.

NAA Auto Classifier Tool screenshot

The Outcome: The Enterprise Information Management Solution Benefits

The final solution delivered two key outcomes:
1. Deployment of the Enterprise Information Manager (EIM) software which provides a user interface to existing Sintelix capability to enable productive and accurate BCS design, automatic record sentencing and integration with their electronic document records management system (EDRMS).

2. A tool to assist NAA with the development of automatic classifiers (including business rules) for sentencing records and information.

The image below shows how Semantic Sciences developed a “gold standard” solution for document sentencing and disposal.

NAA project workflow diagram

The resulting system (Enterprise Information Manager) is able to store and sentence large volumes of documents at high speed. It allows Australian Government Agencies to implement automatic document sentencing tailored to their needs. The system permits human intervention but provides consistent results. It is orders of magnitude faster than manual approaches.

“The project was completed in two months. We found working with Semantic Sciences to be interesting and rewarding. We pay tribute to the company’s ability to analyze a difficult business problem and come up with a viable and effective solution. I would welcome the opportunity to partner with Semantic Sciences again on future projects”  Tatiana Antsupova, Assistant Director, Digital Strategy and Solutions, National Archives of Australia.


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