Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Evaluating the Efficiencies of Academic Research Groups: A Problem of Shared Outputs(World Scientific Publishing Co. Pte Ltd, 2018-12-01) Aviles-Sacoto, Sonia Valeria; Cook, Wade D; Güemes-Castorena, David; Benita, Francisco; Ceballos, Hector; Zhu, Joe; Instituto Tecnológico y de Estudios Superiores de MonterreyData envelopment analysis (DEA) is a methodology for evaluating the relative efficiencies of a set of decision-making units (DMUs), based on their multiple inputs and outputs. The original model is based on the assumption that DMUs operate independently of one another. However, this assumption may not apply in some situations, as in the case we present in this paper, in which DMUs can work together to produce joint outputs. What makes it more interesting is the situation in which this characteristic of sharing outputs among some DMUs differs from one DMU to another; this makes it more challenging to determine independent efficiency scores that cater for this phenomenon. To address this, the current paper presents a methodology for measuring efficiency in situations in which DMUs share outputs with other units. We examine the case of a set of research groups in a Mexican university. For this study, the inputs used are professors belonging to various groups, and outputs are the published journal articles, some of which are produced completely within a group, whereas others arise from collaboration with professors from other research groups. Jointly published articles form a link connecting the groups.
- A knowledge-based entrepreneurial approach for business intelligence in strategic technologies: Bio-MEMS(2005-08-15) Cantu, Francisco J; Mora, Silvia P; Garcia, Aldo; Ceballos, Hector; Martinez, Sergio O; Instituto Tecnológico y de Estudios Superiores de MonterreyWe propose a knowledge-based entrepreneurial (KBE) approach for business intelligence in strategic technologies at industrial sectors. The KBE approach is at the convergence of business intelligence and knowledge management and is used for advising users in business decisions and potential risks. Our approach comprises both a technology roadmap model as well as a knowledge-based entrepreneurial portal for various technologies. We use the Biological-Micro-Electrical-and- Mechanical-Systems industry (Bio-MEMS) to illustrate the approach. The technology roadmap model identifies the main actors, defines their roles and specifies the issues to be addressed. It handles information about main products, market trends, companies, research centers, application domains, products, standardization, and intellectual properties issues. The portal provides knowledge about the main actors through automation facilities based on digital libraries, searching and knowledge extraction from databases, data-ware houses and the Web. We explain how the KBE is helping Bio-MEMS users in business analysis.
- Finding compromises between local and global ontology querying in multiagent systems(Springer Verlag, 2004) Ceballos, Hector; Brena, Ramon; Instituto Tecnológico y de Estudios Superiores de MonterreyAs Ontologie knowledge gets more and more important in agent-based systems, its handling becomes crucial for successful applications. In the context of agent-based applications, we propose a hybrid approach, in which part of the ontology is handled locally, using a "client component", and the rest of the ontological knowledge is handled by an "ontology agent", which is accessed by the other agents in the system through their client component. In this sort of "caching" scheme, most frequent ontologie queries tend to remain stored locally. We propose specific methods for representing, storing, querying and translating ontologies for effective use in the context of the "JITIK" system, which is a multiagent system for knowledge and information distribution. We report as well a working prototype implementing our proposal, and discuss some performance figures.