Recommendation for an Enterprise Content Management (ECM) Based on Ontological Models

José Márquez, Manuel Escalante, Leonardo Sampedro, Elba Sánchez, Laura Ortiz, Eduardo Zurek


This paper presents a system of recommendations for an enterprise content manager (ECM) based on ontological models. In many occasions the results of a search are not accurate enough, so the user of the ECM system must check them and discard those not related to the search. In order to make recommendations, a proposal where it is necessary to review the instances of the ontological model is presented to manage the alias and ambiguities. Comparisons are made between the results obtained from the traditional search model and the recommendations suggested by the model proposed in this work.


Ontologies; ECM; natural language processing; searching; recommendations; semantic web

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