ABSTAT (Front-end Application)

ABSTAT is a powerful tool designed to provide statistical profiles of RDF knowledge graphs, offering users a compact and comprehensive way to analyze and manage semantic data.
This repository contains the front-end module.

• For the back-end application, please refer to the ABSTAT (Back-end Application) Repository.
• For core algorithms, please refer to the ABSTAT-HD Repository.

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Dependencies

Ensure the following dependencies are installed before proceeding:

• Node.js
• Angular CLI

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Installation and Build

Follow these steps to set up and build the ABSTAT front-end:

1. Clone the repository and navigate to the project folder.
2. Run the installation script:

   $ ./install.sh

3. Build the project with the desired configuration mode:

   $ ng build --configuration=<mode>

Configuration Modes:

• public: Suitable for a read-only ABSTAT deployment.
• full-open: Enables all features for an open deployment.
• full-closed: Enables all features with authentication required.

4. Configure the backend settings by updating the BACKEND and CLUSTER_BACKEND variables in the abstat-front-end/src/app/auth.constant.ts file.

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Main Views

Browse

• Displays available datasets, ontologies and computed profiles with metadata such as the number of triples, patterns, timestamps, and validation status.
• Highlights key properties like inference, cardinality, and property constraints.

Faceted Search

• Summarizes frequent subject-predicate-object patterns.
• Provides metrics such as frequency, instance count, and cardinality.

Full-Text Search

• Filters concepts, properties, and types within datasets.
• Includes options to prefer or exclude non-preferred resources.

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References

For a detailed explanation of ABSTAT’s methodologies and applications, refer to the following papers:

• Principe, R. A. A., Spahiu, B., Palmonari, M., Rula, A., De Paoli, F., & Maurino, A. (2018). ABSTAT 1.0: Compute, manage and share semantic profiles of RDF knowledge graphs. In The Semantic Web: ESWC 2018 Satellite Events: ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers 15 (pp. 170-175). Springer International Publishing.
• Alva Principe, R. A., Maurino, A., Palmonari, M., Ciavotta, M., & Spahiu, B. (2021). ABSTAT-HD: a scalable tool for profiling very large knowledge graphs. The VLDB Journal, 1-26.

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License

GNU Affero General Public License v3.0