Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Transforming the Law: Essays on Technology, Justice and the Legal Marketplace
Transforming the Law: Essays on Technology, Justice and the Legal Marketplace
Modern Information Retrieval
Utilizing Dynastically Optimal Forma Recombination in Hybrid Genetic Algorithms
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
Fast generation of result snippets in web search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Efficiency-quality tradeoffs for vector score aggregation
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
| Hi-index | 0.00 |
In this paper we describe the search technology in production in Wolters Kluwer Spain for the legal research market. This technology improves the "Google like" experience by increasing both the total number of retrieved documents (recall)and the quality of the very best ones (precision)while maintaining the ease of entering a natural language query. We propose a hybrid approach, both in the working methodology and in the codification of the legal knowledge -subject matter expert and librarian-, through new layers of semantic analysis and algorithms. We improve the traditional tf-idf vector space model by creating a mixed document indexing schema of terms and concepts as well as a proprietary ranking algorithm trained by a hybrid genetic algorithm. These calculations also improve the quality of keyword-in-context.