https://hdl.handle.net/10481/5493 2026-04-18T09:00:47Z 2026-04-18T09:00:47Z Peis Redondo, Eduardo Herrera Viedma, Enrique Herrera, J.C. https://hdl.handle.net/10481/1211 2021-06-15T11:15:20Z

On evaluation of XML documents using fuzzy linguistic techniques Peis Redondo, Eduardo; Herrera Viedma, Enrique; Herrera, J.C. Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy evaluation method of XML documents based on computing with words is presented. Given an XML document type (e.g. scientific article), we consider that its elements are not equally informative. This is indicated by the use of a DTD and defining linguistic importance attributes to the more meaningful elements of the DTD designed. Then, the evaluation method generates linguistic recommendations from linguistic evaluation judgements provided by different recommenders on meaningful elements of DTD.

Cordón García, Óscar Herrera Viedma, Enrique Luque, M. Herrera, J.C. https://hdl.handle.net/10481/1210 2021-06-15T11:15:19Z

An IRS based on multi-granular linguistic information Cordón García, Óscar; Herrera Viedma, Enrique; Luque, M.; Herrera, J.C. An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed on a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S". The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interaction

Peis Redondo, Eduardo Herrera Viedma, Enrique Anaya, K. Herrera, J.C. https://hdl.handle.net/10481/1208 2021-06-15T11:15:19Z

Evaluating the informative quality of web documents using fuzzy linguistic techniques Peis Redondo, Eduardo; Herrera Viedma, Enrique; Anaya, K.; Herrera, J.C. Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy linguistic evaluation method of Web documents is presented to generate recommendations. Given an XML document type (e.g. scientific article), we consider that its components are not equally informative. This is indicated by defining linguistic importance attributes to the more meaningful elements of the XML Schema designed for Web documents. The evaluation method generates linguistic recommendations according to linguistic evaluation judgements provided by different recommenders on meaningful elements.

Peis Redondo, Eduardo Herrera Viedma, Enrique Olvera Lobo, María Dolores Herrera, J.C. Hassan-Montero, Yusef https://hdl.handle.net/10481/1207 2021-06-15T11:15:16Z

Evaluating the informative quality of web sites by fuzzy computing with words Peis Redondo, Eduardo; Herrera Viedma, Enrique; Olvera Lobo, María Dolores; Herrera, J.C.; Hassan-Montero, Yusef In this paper we present a method based on fuzzy computing with words to measure the informative quality of Web sites used to publish information stored in XML documents. This method generates linguistic recommendations on the informative quality of Web sites. This method is made up of both an evaluation scheme to analyze the informative quality of such Web sites and a generation method of linguistic recommendations. The evaluation scheme presents both technical criteria of Web site design and criteria related to the content of information of Web sites. It is oriented to the user because the chosen criteria are user friendly, in such a way that visitors to a Web site can assess them by means of linguistic evaluation judgements. The generation method generates linguistic recommendations of Web sites based on those linguistic evaluation judgements using the LOWA and LWA operators. Then, when a user looks for information on the Web we can help him/her with both recommendations on Web sites which store the retrieved documents and also recommendations on other Web sites which store other documents of interest related to his/her information needs. With this proposal information filtering and evaluation possibilities on the Web are increased.

Peis Redondo, Eduardo Herrera Viedma, Enrique Hassan-Montero, Yusef Herrera, J.C. https://hdl.handle.net/10481/1206 2021-06-15T11:15:17Z

Ontologías, metadatos y agentes: recuperación "semántica" de la información Peis Redondo, Eduardo; Herrera Viedma, Enrique; Hassan-Montero, Yusef; Herrera, J.C. A pesar de que la Web permite el acceso a una impensable cantidad de información, no constituye, ni mucho menos, un mecanismo de localización perfecto: los motores de búsqueda realizan una labor útil, pero puede afirmarse que están llegando al límite de sus posibilidades; la sobrecarga informativa produce la sensación de colapso; está comprobado que las técnicas léxico-estadísticas, por sí solas, no pueden solucionar la problemática de la recuperación de la información en la Web... En el presente trabajo describimos la propuesta denominada "Web Semántica" - extensión de la actual Web que pretende que no sólo los humanos, sino también las máquinas, sean capaces de "comprender" el significado de los hiperdocumentos- con el fin de analizar su viabilidad y las ventajas que implicaría en la Recuperación de Información en la Web.