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Adolfo Lozano-Tello is teaching/research assistant professor of Computer Languages and Systems at the University of Extremadura. He received his BS in Computer Science from the University of Granada, Spain (1993). He is a Ph.D. (2002) at Computer Science, University of Extremadura, Spain. His research interests include reusable software components rating, ontology design, linked data portals, the use of software components and ontologies in applications, use of ontologies in Ambient Intelligence, and deep learning application for satellite crop identification. He has published more than 100 papers on the above issues on Software Engineering and Knowledge Engineering. He belongs to several related projects funded by various institutions and companies.
The demand for new tools for mass remote sensing of crops, combined with the open and free availability of satellite imagery, has prompted the development of new methods for crop classification. Because this classification is frequently required to be completed within a specific time frame, performance is also essential. In this work, we propose a new method that creates synthetic images by extracting satellite data at the pixel level, processing all available bands, as well as their data distributed over time considering images from multiple dates. With this approach, data from images of Sentinel-2 are used by a deep convolutional network system, which will extract the necessary information to discern between different types of crops over a year after being trained with data from previous years. Following the proposed methodology, it is possible to classify crops and distinguish between several crop classes while also being computationally low-cost. A software system that implements this method has been used in an area of Extremadura (Spain) as a complementary monitoring tool for the subsidies supported by the Common Agricultural Policy of the European Union.
Guillermo Siesto; Marcos Fernández-Sellers; Adolfo Lozano-Tello. Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks. Remote Sensing 2021, 13, 3378 .
AMA StyleGuillermo Siesto, Marcos Fernández-Sellers, Adolfo Lozano-Tello. Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks. Remote Sensing. 2021; 13 (17):3378.
Chicago/Turabian StyleGuillermo Siesto; Marcos Fernández-Sellers; Adolfo Lozano-Tello. 2021. "Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks." Remote Sensing 13, no. 17: 3378.
The early and automatic identification of crops declared by farmers is essential for streamlining European Union Common Agricultural Policy (CAP) payment processes. Currently, field inspections are partial, expensive and entail a considerable delay in the process. Chronological satellite images of cultivated plots can be used so that neural networks can form the model of the declared crop. Once the patterns of a crop are obtained, the correspondence of the declaration with the model of the neural network can be systematically predicted, and can be used for monitoring the CAP. In this article, we propose a learning model with neural networks, using as examples of training the pixels of the cultivated plots from the satellite images over a period of time. We also propose using several years in the training model to generalise the patterns without linking them to the climatic characteristics of a specific year. The article also describes the use of the model in learning the multi-year pattern of tobacco cultivation with very good results.
Adolfo Lozano-Tello; Marcos Fernández-Sellers; Elia Quirós; Laura Fragoso-Campón; Abelardo García-Martín; José Antonio Gutiérrez Gallego; Carmen Mateos; Rubén Trenado; Pedro Muñoz. Crop identification by massive processing of multiannual satellite imagery for EU common agriculture policy subsidy control. European Journal of Remote Sensing 2020, 54, 1 -12.
AMA StyleAdolfo Lozano-Tello, Marcos Fernández-Sellers, Elia Quirós, Laura Fragoso-Campón, Abelardo García-Martín, José Antonio Gutiérrez Gallego, Carmen Mateos, Rubén Trenado, Pedro Muñoz. Crop identification by massive processing of multiannual satellite imagery for EU common agriculture policy subsidy control. European Journal of Remote Sensing. 2020; 54 (1):1-12.
Chicago/Turabian StyleAdolfo Lozano-Tello; Marcos Fernández-Sellers; Elia Quirós; Laura Fragoso-Campón; Abelardo García-Martín; José Antonio Gutiérrez Gallego; Carmen Mateos; Rubén Trenado; Pedro Muñoz. 2020. "Crop identification by massive processing of multiannual satellite imagery for EU common agriculture policy subsidy control." European Journal of Remote Sensing 54, no. 1: 1-12.
Julio Acedo; Marcos Fernandez-Sellers; Adolfo Lozano-Tello. Detection model of similar datasets. 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) 2019, 1 .
AMA StyleJulio Acedo, Marcos Fernandez-Sellers, Adolfo Lozano-Tello. Detection model of similar datasets. 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). 2019; ():1.
Chicago/Turabian StyleJulio Acedo; Marcos Fernandez-Sellers; Adolfo Lozano-Tello. 2019. "Detection model of similar datasets." 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1.
Marcos Fernandez-Sellers; Julio Acedo; Adolfo Lozano-Tello. Identification of representative terms of datasets. 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) 2019, 1 .
AMA StyleMarcos Fernandez-Sellers, Julio Acedo, Adolfo Lozano-Tello. Identification of representative terms of datasets. 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). 2019; ():1.
Chicago/Turabian StyleMarcos Fernandez-Sellers; Julio Acedo; Adolfo Lozano-Tello. 2019. "Identification of representative terms of datasets." 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1.
The use of workflows to manage business or administrative process has been increasing since the end of the past century. Administrative workflows proved useful in large companies and public institutions with strict hierarchical organizations. In order to use them adequately in different areas or departments of a hierarchical organization, they must be adapted to their particular conditions while complying with the general regulations of the process established at the top level. Any department of an organization can add activities, can remove them, and can choose concrete users to perform them and to set the data managed in the activities, as long as the adapted process does not fail to comply with the restrictions established at the generic level. This problem, called hierarchical adaptation problem, also implies establishing the appropriate measures to implement when the general regulation is changed. Such measures must maintain the consistency among the different levels by means of the propagation of the changes to all the adapted processes. To solve this problem, this paper presents the hierarchical adaptation method, which is an ontology-based method to define the rules to satisfy by a generic adaptable workflow. Additionally, it establishes the rules to satisfy the adaptations of the specification ontology. Moreover, it provides the operations facilitating both adaptations of administrative workflows and propagations of changes.
Alvaro E. Prieto; Adolfo Lozano-Tello; Roberto Rodriguez-Echeverria; Juan Carlos Preciado. A Hierarchical Adaptation Method for Administrative Workflows. IEEE Access 2019, 7, 11066 -11092.
AMA StyleAlvaro E. Prieto, Adolfo Lozano-Tello, Roberto Rodriguez-Echeverria, Juan Carlos Preciado. A Hierarchical Adaptation Method for Administrative Workflows. IEEE Access. 2019; 7 ():11066-11092.
Chicago/Turabian StyleAlvaro E. Prieto; Adolfo Lozano-Tello; Roberto Rodriguez-Echeverria; Juan Carlos Preciado. 2019. "A Hierarchical Adaptation Method for Administrative Workflows." IEEE Access 7, no. : 11066-11092.
Public Sector Information is considered to play a fundamental role in the growth of the knowledge economy and improvements in society. Given the difficulty in publishing and maintaining all available data, due to budget constraints, institutions need to select which data to publish, giving priority to data most likely to generate social and economic impact. Priority of publication could become an even more significant problem in Smart Cities: as huge amounts of information are generated from different domains, the way data is prioritized and thus reused, could be a determining factor in promoting, among others, new and sustainable business opportunities for local entrepreneurs, and to improve citizen quality of life. However, people in charge of prioritizing which data to publish through open data portals, such as Chief Data Officers (CDOs), do not have available any specific support in their decision-making process. In this work, a proposal of a framework for prioritization of open data publication as well as its application to Smart Cities is presented. This specific application of the framework relies on OSS (Open Source Software) indicators to help making decisions on the most relevant data to publish focused on developers and businesses operating within the Smart City context.
Alvaro E. Prieto; Jose-Norberto Mazon; Adolfo Lozano-Tello. Framework for Prioritization of Open Data Publication: An Application to Smart Cities. IEEE Transactions on Emerging Topics in Computing 2019, 9, 131 -143.
AMA StyleAlvaro E. Prieto, Jose-Norberto Mazon, Adolfo Lozano-Tello. Framework for Prioritization of Open Data Publication: An Application to Smart Cities. IEEE Transactions on Emerging Topics in Computing. 2019; 9 (1):131-143.
Chicago/Turabian StyleAlvaro E. Prieto; Jose-Norberto Mazon; Adolfo Lozano-Tello. 2019. "Framework for Prioritization of Open Data Publication: An Application to Smart Cities." IEEE Transactions on Emerging Topics in Computing 9, no. 1: 131-143.
Nowadays, data are being produced like never before because the use of the Internet of Things, social networks, and communication in general are increasing exponentially. Many of these data, especially those from public administrations, are freely offered using the open data concept where data are published to improve their reutilisation and transparency. Initially, the data involved information that is not updated continuously such as budgets, tourist information, office information, pharmacy information, etc. This kind of information does not change during large periods of time, such as days, weeks or months. However, when open data are produced near to real-time such as air quality sensors or people counters, suitable methodologies and tools are lacking to identify, consume, and analyse them. This work presents a methodology to tackle the analysis of open data sources using Model-Driven Development (MDD) and Complex Event Processing (CEP), which help users to raise the abstraction level utilised to manage and analyse open data sources. That means that users can manage heterogeneous and complex technology by using domain concepts defined by a model that could be used to generate specific code. Thus, this methodology is supported by a domain-specific language (DSL) called OpenData2CEP, which includes a metamodel, a graphical concrete syntax, and a model-to-text transformation to specific platforms, such as complex event processing engines. Finally, the methodology and the DSL have been applied to two near real-time contexts: the analysis of air quality for citizens' proposals and the analysis of earthquake data.
Pedro J. Clemente; Adolfo Lozano-Tello. Model Driven Development Applied to Complex Event Processing for Near Real-Time Open Data. Sensors 2018, 18, 4125 .
AMA StylePedro J. Clemente, Adolfo Lozano-Tello. Model Driven Development Applied to Complex Event Processing for Near Real-Time Open Data. Sensors. 2018; 18 (12):4125.
Chicago/Turabian StylePedro J. Clemente; Adolfo Lozano-Tello. 2018. "Model Driven Development Applied to Complex Event Processing for Near Real-Time Open Data." Sensors 18, no. 12: 4125.
Julio Acedo; Adolfo Lozano-Tello; Marcos Fernandez-Sellers. Model of datasets unification from different open data portals. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI) 2018, 1 .
AMA StyleJulio Acedo, Adolfo Lozano-Tello, Marcos Fernandez-Sellers. Model of datasets unification from different open data portals. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI). 2018; ():1.
Chicago/Turabian StyleJulio Acedo; Adolfo Lozano-Tello; Marcos Fernandez-Sellers. 2018. "Model of datasets unification from different open data portals." 2018 13th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1.
Adolfo Lozano-Tello; Julio Acedo; Alvaro Prieto. Representation of science publications in open linked data from ORCID codes using ontologies to support a portal of scientific publications. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) 2017, 1 -7.
AMA StyleAdolfo Lozano-Tello, Julio Acedo, Alvaro Prieto. Representation of science publications in open linked data from ORCID codes using ontologies to support a portal of scientific publications. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). 2017; ():1-7.
Chicago/Turabian StyleAdolfo Lozano-Tello; Julio Acedo; Alvaro Prieto. 2017. "Representation of science publications in open linked data from ORCID codes using ontologies to support a portal of scientific publications." 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1-7.
Vicente Botón-Fernández; Adolfo Lozano-Tello; Máximo Pérez-Romero; Enrique Romero-Cadaval. Mining sequential patterns to efficiently manage Energy Storage Systems within smart home buildings. Journal of Ambient Intelligence and Smart Environments 2016, 8, 287 -300.
AMA StyleVicente Botón-Fernández, Adolfo Lozano-Tello, Máximo Pérez-Romero, Enrique Romero-Cadaval. Mining sequential patterns to efficiently manage Energy Storage Systems within smart home buildings. Journal of Ambient Intelligence and Smart Environments. 2016; 8 (3):287-300.
Chicago/Turabian StyleVicente Botón-Fernández; Adolfo Lozano-Tello; Máximo Pérez-Romero; Enrique Romero-Cadaval. 2016. "Mining sequential patterns to efficiently manage Energy Storage Systems within smart home buildings." Journal of Ambient Intelligence and Smart Environments 8, no. 3: 287-300.
International organizations, as the World Health Organization (WHO), are constantly defining new healthcare protocols and procedures, as well as modifying previously adopted ones. As a result, most health institutions have to adapt continuously their workflows and information systems in order to be aligned with international standards. This problem, called Hierarchical Adaptation Problem, is common in hierarchical domains that use administrative workflows. It also implies establishing the change propagation methods to maintain the consistency among the different levels when the original workflow is changed. To solve this problem, this work introduces the Hierarchical Adaptation Method. A method based on ontologies to define the rules that must be satisfied by a generic workflow to be considered adaptable to different application cases and the rules that must be satisfied by its adapted versions. Moreover, it provides the operations to facilitate both adaptation of workflows and propagation of changes.
Álvaro E. Prieto; Adolfo Lozano-Tello; Roberto Rodríguez-Echeverría; Fernando Sánchez-Figueroa. A Method for Systematic Adaptation and Synchronization of Healthcare Processes. Organizing Smart Buildings and Cities 2016, 1 -15.
AMA StyleÁlvaro E. Prieto, Adolfo Lozano-Tello, Roberto Rodríguez-Echeverría, Fernando Sánchez-Figueroa. A Method for Systematic Adaptation and Synchronization of Healthcare Processes. Organizing Smart Buildings and Cities. 2016; ():1-15.
Chicago/Turabian StyleÁlvaro E. Prieto; Adolfo Lozano-Tello; Roberto Rodríguez-Echeverría; Fernando Sánchez-Figueroa. 2016. "A Method for Systematic Adaptation and Synchronization of Healthcare Processes." Organizing Smart Buildings and Cities , no. : 1-15.
Increasingly, public administrations and some companies are providing your data in reusable formats. Those that choose to offer the highest quality data reuse usually have a SPARQL access point so that applications that use them can make queries directly. Instead, citizens do not have that option because they generally do not know the SPARQL language. This article proposes a model to generate SPARQL queries against a opendata server from intuitively selectable options from a Web form, providing usefulness to the open data portals.
Adolfo Lozano-Tello; Julio Acedo; Jesús Redondo; Alvaro Prieto; Lozano-Tello A.; Acedo J.. Assisted searches for open data portals. 2015 10th Iberian Conference on Information Systems and Technologies (CISTI) 2015, 1 -7.
AMA StyleAdolfo Lozano-Tello, Julio Acedo, Jesús Redondo, Alvaro Prieto, Lozano-Tello A., Acedo J.. Assisted searches for open data portals. 2015 10th Iberian Conference on Information Systems and Technologies (CISTI). 2015; ():1-7.
Chicago/Turabian StyleAdolfo Lozano-Tello; Julio Acedo; Jesús Redondo; Alvaro Prieto; Lozano-Tello A.; Acedo J.. 2015. "Assisted searches for open data portals." 2015 10th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1-7.
At the present time the monitoring systems are important in some areas, such as electric power supply industry and household environment because they provide useful information to energy storage and management tasks. A new nonintrusive monitoring method is proposed in this paper and it is able to disaggregate and identify two loads working simultaneously using a single measuring sensor and a least squares regression algorithm based on discrete form of the S-Transform.
Máximo Pérez-Romero; Enrique Romero-Cadaval; Adolfo Lozano-Tello; João Martins; Rui Amaral Lopes. An Innovator Nonintrusive Method for Disaggregating and Identifying Two Simultaneous Household Loads. Lecture Notes in Control and Information Sciences 2014, 297 -304.
AMA StyleMáximo Pérez-Romero, Enrique Romero-Cadaval, Adolfo Lozano-Tello, João Martins, Rui Amaral Lopes. An Innovator Nonintrusive Method for Disaggregating and Identifying Two Simultaneous Household Loads. Lecture Notes in Control and Information Sciences. 2014; ():297-304.
Chicago/Turabian StyleMáximo Pérez-Romero; Enrique Romero-Cadaval; Adolfo Lozano-Tello; João Martins; Rui Amaral Lopes. 2014. "An Innovator Nonintrusive Method for Disaggregating and Identifying Two Simultaneous Household Loads." Lecture Notes in Control and Information Sciences , no. : 297-304.
Along the coming years, an important increase of the energy consumption in the world is expected, what will lead the energy sector to deal with several challenges such us availability of delivering the demanded energy, increase of the emissions and greenhouse effect. Energy Management Systems are being integrated with domestic and residential applications, which optimize the home energy consumption. The Local Energy Management Unit is presented in this paper that allows an optimized power demand to the Grid. It utilizes different types of communication (by using TCP and X10 protocols) with the aim of obtaining an efficient energy management and allowing a lower power consumption, which lets the user to decrease the cost of the electric invoice. A prototype has been built that shows energy management results. The power demanded from the Grid is kept constant regardless of the house power consumption.DOI: http://dx.doi.org/10.5755/j01.eee.19.7.5164
Maximo Perezromero; Javier Gallardolozano; Enrique Romero-Cadaval; Adolfo Lozano-Tello. Local Energy Management Unit for Residential Applications. Elektronika ir Elektrotechnika 2013, 19, 61-64 .
AMA StyleMaximo Perezromero, Javier Gallardolozano, Enrique Romero-Cadaval, Adolfo Lozano-Tello. Local Energy Management Unit for Residential Applications. Elektronika ir Elektrotechnika. 2013; 19 (7):61-64.
Chicago/Turabian StyleMaximo Perezromero; Javier Gallardolozano; Enrique Romero-Cadaval; Adolfo Lozano-Tello. 2013. "Local Energy Management Unit for Residential Applications." Elektronika ir Elektrotechnika 19, no. 7: 61-64.
This paper presents a Smart Storage System able to manage the energy and the smart home devices of a house for optimizing the local consumption of energy, even if there is not renewable generation. The proposed system is composed by two main systems. On the one hand, the Local Energy Management units that will be located in the houses, which are able to maintain the power consumption under a maximum reference value and to switch on/off the devices in the house by using domotic protocols. On the other hand, the Central Energy Management and Intelligent System, that receives operation data from each local unit, analyzes them using behavioral and optimization algorithms and determines the best way in which each local unit has to operate, communicating the operation references back to them.
Vicente Botón-Fernández; Máximo Pérez Romero; Adolfo Lozano-Tello; Enrique Romero-Cadaval. Intelligent Energy Management System for Residential and Community Applications. Lecture Notes in Control and Information Sciences 2013, 307 -314.
AMA StyleVicente Botón-Fernández, Máximo Pérez Romero, Adolfo Lozano-Tello, Enrique Romero-Cadaval. Intelligent Energy Management System for Residential and Community Applications. Lecture Notes in Control and Information Sciences. 2013; ():307-314.
Chicago/Turabian StyleVicente Botón-Fernández; Máximo Pérez Romero; Adolfo Lozano-Tello; Enrique Romero-Cadaval. 2013. "Intelligent Energy Management System for Residential and Community Applications." Lecture Notes in Control and Information Sciences , no. : 307-314.
This paper describes a Smart Storage System capable of managing energy and smart home devices to optimize the local power consumption of a house. The proposed model consists of two main systems; the Local Energy Management Unit (LEMU) and the Central Energy Management and Intelligent System (CEMIS). On the one hand, the LEMU is able to maintain the power consumption under a maximum reference value and to switch on/off the devices by using domotic protocols. On the other hand, the CEMIS receives operation data remotely from several devices, analyzes them using intelligent techniques and determines the best operation strategy for each LEMU, communicating the operation references back to them.
Vicente Botón-Fernández; Máximo Pérez Romero; Adolfo Lozano-Tello; Enrique Romero Cadaval. Intelligent Energy Management System for the Optimization of Power Consumption. Advances in Intelligent Systems and Computing 2013, 221, 113 -120.
AMA StyleVicente Botón-Fernández, Máximo Pérez Romero, Adolfo Lozano-Tello, Enrique Romero Cadaval. Intelligent Energy Management System for the Optimization of Power Consumption. Advances in Intelligent Systems and Computing. 2013; 221 ():113-120.
Chicago/Turabian StyleVicente Botón-Fernández; Máximo Pérez Romero; Adolfo Lozano-Tello; Enrique Romero Cadaval. 2013. "Intelligent Energy Management System for the Optimization of Power Consumption." Advances in Intelligent Systems and Computing 221, no. : 113-120.
This paper reviews the most important energy storage systems for applications in residential environments. Normally, these systems are associated with renewable energy in order to achieve specific characteristics, although new possibilities and challenges are implemented over them in any residential places. Nowadays, the development of such kind of energy systems represents a technical challenge in the market. In residential and small building applications, energy storage solutions supply the demanded power by consumers of residential areas or small stand-alone buildings placed on isolated zones. In context of smart grids, energy storage management systems are not only concerned about energy storage, also inefficiency optimization and power consume. This work presents INTELEM, a new smart storage architecture which integrates the energy storage and the intelligent energy management in communities and in residential applications.
Máximo Pérez-Romero; Adolfo Lozano-Tello; Enrique Romero-Cadaval; João Martins. Community and Residential Energy Storage in Smart Grids. Lecture Notes in Control and Information Sciences 2013, 315 -322.
AMA StyleMáximo Pérez-Romero, Adolfo Lozano-Tello, Enrique Romero-Cadaval, João Martins. Community and Residential Energy Storage in Smart Grids. Lecture Notes in Control and Information Sciences. 2013; ():315-322.
Chicago/Turabian StyleMáximo Pérez-Romero; Adolfo Lozano-Tello; Enrique Romero-Cadaval; João Martins. 2013. "Community and Residential Energy Storage in Smart Grids." Lecture Notes in Control and Information Sciences , no. : 315-322.
Nowadays, there are a huge number of digital television platforms and channels, so it is not easy for the viewer to decide what they want to watch. Some television providers offer information about the programs they broadcast, but this information is usually scarce and there is no possibility to perform advanced operations like recommendation ones. For this reason, viewers could benefit from a system that integrates all the available information about contents, and applies semantics methodologies in order to provide a better television watching experience. The main objective of this research is the design of a television content management system, called OntoTV, which retrieves television content information from various existing sources and represents all these data in the best way possible by using knowledge engineering and ontologies. These semantic computing techniques make it possible to offer the viewers more useful operations on the stored data than traditional systems do, and with a high degree of personalization. Additionally, OntoTV accomplishes all of this regardless of the TV platform installed and the client device used. The viewers' satisfaction when using this system has been also studied to prove its functionality.
José Luis Redondo-García; Adolfo Lozano-Tello. ONTOTV: AN ONTOLOGY-BASED SYSTEM FOR THE MANAGEMENT OF INFORMATION ABOUT TELEVISION CONTENTS. International Journal of Semantic Computing 2012, 6, 111 -130.
AMA StyleJosé Luis Redondo-García, Adolfo Lozano-Tello. ONTOTV: AN ONTOLOGY-BASED SYSTEM FOR THE MANAGEMENT OF INFORMATION ABOUT TELEVISION CONTENTS. International Journal of Semantic Computing. 2012; 6 (1):111-130.
Chicago/Turabian StyleJosé Luis Redondo-García; Adolfo Lozano-Tello. 2012. "ONTOTV: AN ONTOLOGY-BASED SYSTEM FOR THE MANAGEMENT OF INFORMATION ABOUT TELEVISION CONTENTS." International Journal of Semantic Computing 6, no. 1: 111-130.
Administrative processes are a type of business process commonly used in public institutions and large companies. The workflow definitions of these processes are frequently reused within the organizations. The reuse of these workflow definitions can be easier if they are divided into three separate but related definitions: on the one hand, the definition of the data structures to be managed by the process activities, on the other, the users that can perform each activity and, finally, the process activities together with the relationships among the three definitions. The use of ontologies can facilitate these workflow definitions in the three related parts. In this paper, we describe OntoMetaWorkflow, a generic ontology to represent canonical workflow terms in the domain of administrative processes, and the methods for using it in defining administrative processes. This ontology is the basis of the WEAPON Model, a complete model supported by tools, for defining and managing administrative process workflows.
Alvaro E. Prieto; Adolfo Lozano-Tello. DEFINING REUSABLE ADMINISTRATIVE PROCESSES USING A GENERIC ONTOLOGY. International Journal of Software Engineering and Knowledge Engineering 2012, 22, 243 -264.
AMA StyleAlvaro E. Prieto, Adolfo Lozano-Tello. DEFINING REUSABLE ADMINISTRATIVE PROCESSES USING A GENERIC ONTOLOGY. International Journal of Software Engineering and Knowledge Engineering. 2012; 22 (2):243-264.
Chicago/Turabian StyleAlvaro E. Prieto; Adolfo Lozano-Tello. 2012. "DEFINING REUSABLE ADMINISTRATIVE PROCESSES USING A GENERIC ONTOLOGY." International Journal of Software Engineering and Knowledge Engineering 22, no. 2: 243-264.
Learning users’ frequent patterns is very useful to develop real human-centered environments. By analyzing the occurrences of events over time in a home automation system, it’s possible to find periodic patterns based on action-time relationships. However, the human behavior could be better defined if it’s related to chained actions, creating action-action relationships. This work presents IntelliDomo’s learning layer, a data mining approach based on ontologies and production rules that aims to achieve those objectives. This module is able to acquire users’ habits and automatically generate production rules for behavior patterns to anticipate the user’s periodic actions. The learning layer includes new features looking for the adaptability and personification of the environment.
Adolfo Lozano-Tello; Vicente Botón-Fernández. Analysis of Sequential Events for the Recognition of Human Behavior Patterns in Home Automation Systems. Advances in Intelligent and Soft Computing 2012, 151, 511 -518.
AMA StyleAdolfo Lozano-Tello, Vicente Botón-Fernández. Analysis of Sequential Events for the Recognition of Human Behavior Patterns in Home Automation Systems. Advances in Intelligent and Soft Computing. 2012; 151 ():511-518.
Chicago/Turabian StyleAdolfo Lozano-Tello; Vicente Botón-Fernández. 2012. "Analysis of Sequential Events for the Recognition of Human Behavior Patterns in Home Automation Systems." Advances in Intelligent and Soft Computing 151, no. : 511-518.