An application of the FIS-CRM model to the FISS metasearcher: Using fuzzy synonymy and fuzzy generality for representing concepts in documents

Olivas, José Á.; Garcés, Pablo; Romero, Francisco P.

doi:10.1016/j.ijar.2003.07.008

Cited by 21 publications

(17 citation statements)

References 17 publications

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“…It is sure that we will have to work in the integration of T-DiCoR in the framework that our team had been developing (tools such as FISS [1] or GUMSe [8]). For example, to define the XML formats of the interchange documents will be necessary.…”

Section: Discussionmentioning

confidence: 99%

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Three-Dimensional Representation of Conceptual Fuzzy Relations

Olivas

Rios

2006

Flexible Query Answering Systems

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Abstract. In this work, T-DiCoR is presented (Three Dimensional Conceptual Representation) as a tool for representing the fuzzy relations among the most representative concepts of a domain. Using this tool in a Metasearcher, the user may observe what other concepts are related to the searched concept, and what the connection forces are (fuzzy relations between concepts). This knowledge can be useful for making new queries with words conceptually related in a specific domain with the original ones.

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Section: Discussionmentioning

confidence: 99%

“…FIS-CRM [1] is a model for representing the concepts contained in any kind of document. It can be considered an extension of the vector space model (VSM).…”

Section: Contextual Linguistic and Ontology Relations (Fis-crm Vectors)mentioning

confidence: 99%

Three-Dimensional Representation of Conceptual Fuzzy Relations

Olivas

Rios

2006

Flexible Query Answering Systems

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“…El trabajo abordado previamente por los autores ha consistido en el planteo inicial de lineamientos generales sobre la estructura del SRI a desarrollar [27], basándose en desarrollos similares que fueron tomados como referencia [5], [6], [28].…”

Section: A Estructura Del Sriunclassified

Desarrollo de un Sistema de Recuperación de Información para Publicaciones Científicas del Área de Ciencias de la Computación

Kuna¹,

Reisslein²,

Martini³

et al. 2014

Revista Latinoamericana De Ingenieria De Software

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“…The weight of a concept c i on an LO d is considered as a fuzzy weight. Each concept has a weight on each LO according to the FIS-CRM model ðfis-crmðc i ; dÞÞ: The fundamental basis of FIS-CRM (Olivas et al 2003) is to ''share'' the occurrences of a contained word among the fuzzy synonyms that represent the same concept and to ''give'' a fuzzy weight to the words that represent a more general concept than the contained one. To obtain this aim, documents must be first represented by their base weight vectors (based on the occurrences of the contained words) and, afterward, a weight readjustment process is made to obtain a new vector (based on concept occurrences).…”

Section: Fuzzy Ontology and Fuzzy User Profilementioning

confidence: 99%

Fuzzy ontologies-based user profiles applied to enhance e-learning activities

et al. 2011

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Nowadays, the impact of technological developments on improving human activities is becoming more evident. In e-learning, this situation is no different. There are common to use systems that assist the daily activities of students and teachers. Typically, e-learning recommender systems are focused on students; however, teachers can also benefit from these type of tools. A recommender system can propose actions and resources that facilitate teaching activities like structuring learning strategies. In any case, a complete user's representation is required. This paper shows how a fuzzy ontology can be used to represent user profiles into a recommender engine and enhances the user's activities into e-learning environments. A fuzzy ontology is an extension of domain ontologies for solving the problems of uncertainty in sharing and reusing knowledge on the Semantic Web. The user profile is built from learning objects published by the user himself into a learning object repository. The initial experiment confirms that the automatically obtained fuzzy ontology is a good representation of the user's preferences. The experiment results also indicate that the presented approach is useful and warrants further research in recommending and retrieval information.

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An application of the FIS-CRM model to the FISS metasearcher: Using fuzzy synonymy and fuzzy generality for representing concepts in documents

Cited by 21 publications

References 17 publications

Three-Dimensional Representation of Conceptual Fuzzy Relations

Three-Dimensional Representation of Conceptual Fuzzy Relations

Desarrollo de un Sistema de Recuperación de Información para Publicaciones Científicas del Área de Ciencias de la Computación

Fuzzy ontologies-based user profiles applied to enhance e-learning activities

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