Ponencia
Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques
Autor/es | Martín Montes, Antonio
León de Mora, Carlos |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2014 |
Fecha de depósito | 2018-07-10 |
Publicado en |
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ISBN/ISSN | 978-989-758-049-9 |
Resumen | Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital University. Exploring online collections to find knowledge relevant to a user’s interests is a challenging work. The ... Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital University. Exploring online collections to find knowledge relevant to a user’s interests is a challenging work. The artificial intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused in an efficient way. In this work we propose a comprehensive approach for discovering E-learning objects in large digital collections based on analysis of recorded semantic metadata in those objects and the application of expert system technologies. We have used Case Based-Reasoning methodology to develop a prototype for supporting efficient retrieval knowledge from online repositories. We suggest a conceptual architecture for a semantic search engine. OntoUS is a collaborative effort that proposes a new form of interaction between users and digital libraries, where the latter are adapted to users and their surroundings. |
Cita | Martín Montes, A. y León de Mora, C. (2014). Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques. En KEOD 2014: Sixth International Conference on Knowledge Engineering and Ontology Development (445-453), Rome, Italy: ScitePress. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Improving Knowledge.pdf | 1.235Mb | [PDF] | Ver/ | |