A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Modern Information Retrieval
Opportunities from Open Source Search
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Terrier information retrieval platform
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
An integrated evaluation method for module-based undergraduate information retrieval education
Journal of Computing Sciences in Colleges
Teaching and learning in information retrieval
Information Retrieval
Proceedings of the 16th annual joint conference on Innovation and technology in computer science education
| Hi-index | 0.00 |
Due to the rapid growth in digital storage technologies, Information Retrieval (IR) has gained a significant importance, both for academia and for the industry. However, very few proposals have been made for the creation of an environment capable of both providing useful IR services and acting as a workbench for the design, implementation, and research of new IR solutions. In this work, we propose IR-BASE, a basic object oriented framework for the integration of components, documentation and services, focused on the rapid development of prototypes for research and teaching. At its core, IR-BASE consists of a set of base classes that provide a skeleton to create new IR components, a set of guidelines to ensure that the developed components are fully interoperable, and a component pool, where IR-BASE users can find implementations of all kinds of functionalities needed to build a full IR system, and to which IR-BASE users can contribute with their own implementations. IR-BASE is of interest not only to IR researchers and professionals, who want to rapidly develop prototypes to test new ideas, but also to teachers and students, who will have an easily configurable, modifiable and extendible set of components to act has a basis for learning, building and experimenting with current IR algorithms.