Marco Antonio Moreno-Ibarra

Marco Antonio Moreno-IbarraMarco Moreno-Ibarra. Professor of the Laboratory of Intelligent Processing of Geospatial Information of the Centre for Computer Research (CIC) of the National Polytechnic Institute (IPN) of Mexico. He received his PhD in Computer Science in 2007 and he is member of the National Research System level 2. Former Director of the Centro Nacional de Cálculo (CENAC) of the IPN, former Director of Systems, Informatics and Telecommunications of National Council of Research Science and Technology (CONACYT). He has over 100 articles in journals, national and international conferences as well as being a reviewer for publications. He teaches the courses of Foundations of Geographic Information Science and Tools for the design and implementation of GIS within the master and doctorate programs in computer science at CIC-IPN. He has been advisor of more than 17 MSc and 5 PhD theses. His research areas include GIS design, automatic generalization, volunteered geographic information and geospatial semantic similarity.

Publications

Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information
Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information
Magdalena Saldana-Perez, Miguel Torres-Ruiz, Marco Moreno-Ibarra. © 2022. 21 pages.
Volunteer geographic information and user-generated content represents a source of updated information about what people perceive from their environment. Its analysis generates...
Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities
Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities
Juan Humberto Juárez Hipólito, Marco Antonio Moreno Ibarra, Miguel Torres-Ruiz, Giovanni Guzmán, Rolando Quintero. © 2019. 30 pages.
This work presents an approach based on the concept of Volunteered Geographic Information (VGI) to monitoring environmental noise; it is a problem that specially affects...
Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information
Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information
Magdalena Saldana-Perez, Miguel Torres-Ruiz, Marco Moreno-Ibarra. © 2019. 22 pages.
Volunteer geographic information and user-generated content represents a source of updated information about what people perceive from their environment. Its analysis generates...
Classification of Traffic Events Notified in Social Networks' Texts
Classification of Traffic Events Notified in Social Networks' Texts
Ana Maria Magdalena Saldana-Perez, Marco Antonio Moreno-Ibarra, Miguel Jesus Torres-Ruiz. © 2019. 14 pages.
It is interesting to exploit the user-generated content (UGC) and to use it with a view to infer new data; volunteered geographic information (VGI) is a concept derived from UGC...
Traffic Analysis Based on Short Texts From Social Media
Traffic Analysis Based on Short Texts From Social Media
Ana Maria Magdalena Saldana-Perez, Marco Moreno-Ibarra. © 2019. 19 pages.
Social networks provide information about activities of humans and social events. Thus, with the help of social networks, we can extract the traffic events that occur in a city....
Classification of Traffic Events Notified in Social Networks' Texts
Classification of Traffic Events Notified in Social Networks' Texts
Ana Maria Magdalena Saldana-Perez, Marco Antonio Moreno-Ibarra, Miguel Jesus Torres-Ruiz. © 2018. 12 pages.
It is interesting to exploit the user generated content (UGC), and to use it with a view to infer new data; volunteered geographic information (VGI) is a concept derived from...
Geocoding Tweets Based on Semantic Web and Ontologies
Geocoding Tweets Based on Semantic Web and Ontologies
Imelda Escamilla, Miguel Torres Ruíz, Marco Moreno Ibarra, Vladimir Luna Soto, Rolando Quintero, Giovanni Guzmán. © 2018. 21 pages.
Human ability to understand approximate references to locations, disambiguated by means of context and reasoning about spatial relationships, is the key to describe spatial...
Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities
Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities
Juan Humberto Juárez Hipólito, Marco Antonio Moreno Ibarra, Miguel Torres-Ruiz, Giovanni Guzmán, Rolando Quintero. © 2018. 30 pages.
This work presents an approach based on the concept of Volunteered Geographic Information (VGI) to monitoring environmental noise; it is a problem that specially affects...
Innovation on Geo-Enrichment of Texts Using Gazetteers for Massive Open On-Line Courses
Innovation on Geo-Enrichment of Texts Using Gazetteers for Massive Open On-Line Courses
Vladimir Luna-Soto, Rolando Quintero, Miguel Torres-Ruiz, Marco Moreno-Ibarra, Imelda Escamilla. © 2018. 13 pages.
Text documents available in the Web contain a large amount of geographic information. For instance, forum messages posted by students in Massive Open Online Courses (MOOCs) may...
Geocoding Tweets Approach Based on Conceptual Representations in the Context of the Knowledge Society
Geocoding Tweets Approach Based on Conceptual Representations in the Context of the Knowledge Society
Imelda Escamilla, Miguel Torres-Ruiz, Marco Moreno-Ibarra, Rolando Quintero, Giovanni Guzmán, Vladimir Luna-Soto. © 2016. 18 pages.
In this paper, an approach to geocode tweets published in Spanish is proposed. The tweets are related to traffic events within an urban context of the Mexico City. They are...
Geocoding of Spatial Relationships Contained in Tweets
Geocoding of Spatial Relationships Contained in Tweets
Imelda Escamilla, Clodoveu A. Davis Jr., Marco Moreno-Ibarra, Vladimir Luna. © 2016. 17 pages.
Human ability to understand approximate references to locations, disambiguated by means of context and reasoning about spatial relationships, is the key to describe spatial...
Traffic Analysis Based on Short Texts from Social Media
Traffic Analysis Based on Short Texts from Social Media
Ana Maria Magdalena Saldana-Perez, Marco Moreno-Ibarra. © 2016. 17 pages.
Social networks provide information about activities of humans and social events. Thus, with the help of social networks, we can extract the traffic events that occur in a city....
Applying Supervised Clustering to Landsat MSS Images into GIS-Application
Applying Supervised Clustering to Landsat MSS Images into GIS-Application
Miguel Torres, Marco Moreno-Ibarra, Rolando Quintero, Giovanni Guzmán. © 2013. 9 pages.
In this paper, the authors describe and implement an algorithm to perform a supervised classification into Landsat MSS satellite images. The Maximum Likelihood Classification...