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| IST Project Number | FP6 – 507483 | Acronym | DIP |
| Full Title | Data, Information, and Process Integration with Semantic Web Services | ||
| Project URL | http://dip.semanticweb.org | ||
| Document URL | http://sw.deri.org/2005/03/diprdf/wp2.5 | ||
| EU Project Officer | Kai Tullius | ||
| Deliverable Number | 2.5 | Title | Ontology Repository |
| Work package Number | 2 | Title | Ontology Management |
| Date of Delivery | contractual | M30 | actual | 30-June-2006 |
| Status | version | 1.0 | final | |
| Nature | ||||
| Dissemination Level | ||||
| Authors | Andreas Harth (National University of Ireland, Galway) | ||||||||
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| Abstract (for dissemination) |
This document contains an executive summary covering two ontology repository implementations that can be used in conjunction with the Ontology Representation and Data Integration (ORDI) Framework. |
| Keywords | Ontology repository |
| Version Log | |||
| issue date (dd-mm-yy) | revision no. | author | change |
| 31-12-05 | 001 | Andreas Harth | first internal version (version 1.0) |
| 09-06-06 | 002 | Andreas Harth | final version for internal review |
| 30-06-06 | 003 | Andreas Harth | final submitted version (version 3.0) |
| Reviewer Information | |||||||||
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Ontologies provide more expressive modeling primitives than traditional relational database systems. Relational database schemas are rigid and instances have to strictly adhere to the schema. Ontologies have a less restrictive notion of a schema, which is of importance for integrating data in an open environment such as the Web. In D2.5, we have implemented various ways of storing and retrieving ontologies. The main requirement is to be able to handle large-scale data sets with millions of concepts.
One piece of the WP2 development is ORDI, an abstraction layer and API facilitating the use of WSML ontologies in Java programs. Being able to handle and process large-scale ontologies is one of the main requirements for WP2. To this end, we have implemented three repositories for persistent storage facilities of WSML ontologies. All three repositories are using the ORDI API as an interface to other parts of the WP2 ontology management suite.
As part of WP2.5 we developed two repository implementations: FOR, which focuses on corporate environments where commercial databases are used; and YARS, which provides provenance tracking which is especially important in a data integration scenario. The reference implementation used by ORDI is Sesame which was already available at the beginning of the project. The Sesame ORDI link serves as reference point for the other developments; using an already existing repository allowed for rapid implementation of the ORDI persistence layer.
Unicorn implemented 'FOR' - Flexible Ontology Repository, which is a scalable RDB-backed repository that works together with commercial database solutions. Being able to store and retrieve WSML ontologies in commercial systems is useful in environments where systems such as Oracle, DB2 and SQLServer are already in production use, which allows for easy transition and migration towards ontology-based systems. The flexibility of the repository is achieved by implementing a generic schema that can store any ORDI object. In addition the Hibernate ORM tool is used to streamline application development and to create an abstraction layer between the application logic and the actual RDB vendor.
NUIG implemented YARS, which is an RDF ontology repository in Java. The main use case that triggered the development of YARS is in the area of data integration. Current repositories lack the feature of tracking provenance of data which is mandatory in data integration scenarios where data quality is judged by the origin of the data. In addition to the provenance tracking feature, YARS is easy to install and can be embedded into applications only incurring a minor space overhead. YARS is packaged either as JAR file or as a web application, and is released under a BSD-style open-source license.
One reason to develop multiple repositories is to address the different requirements and usage scenarios for ontology management. For example, YARS provides easy setup and installation, keyword-based searches and transaction processing features allowing for multiple threads to access the repository. FOR is built on top of relational databases which have higher setup and installation costs but are well-acepted in industry. All repositories are integrated in DIP by implementing the ORDI Repository API layer and therefore applications on top of ORDI can switch between repositories easily.
$Id: wp2.5.html 3831 2006-06-29 13:36:52Z aharth $