Adolfo Lozano-Tello | Universidad de Extremadura (original) (raw)

Papers by Adolfo Lozano-Tello

SENSORS, 2023

Today, machine learning applied to remote sensing data is used for crop detection. This makes it ... more Today, machine learning applied to remote sensing data is used for crop detection. This makes it possible to not only monitor crops but also to detect pests, a lack of irrigation, or other problems. For systems that require high accuracy in crop identification, a large amount of data is required to generate reliable models. The more plots of and data on crop evolution used over time, the more reliable the models. Here, a study has been carried out to analyse neural network models trained with the Sentinel satellite’s 12 bands, compared to models that only use the NDVI, in order to choose the most suitable model in terms of the amount of storage, calculation time, accuracy,
and precision. This study achieved a training time gain of 59.35% for NDVI models compared with 12-band models; however, models based on 12-band values are 1.96% more accurate than those trained with the NDVI alone when it comes to making predictions. The findings of this study could be of great interest to administrations, businesses, land managers, and researchers who use satellite image data mining techniques and wish to design an efficient system, particularly one with limited storage capacity and response times.

Advances in database research series, 2005

At present, the Web offers available information to people in diverse ways. With the initiative o... more At present, the Web offers available information to people in diverse ways. With the initiative of Semantic Web, the aim is to make the content of Web pages available in a way that allows people and computers to "understand" this information following frameworks commonly agreed upon by means of ontologies. However, users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. To improve the selection of ontologies, this chapter describes the ONTOMETRIC method which allows the users to measure the suitability of existing ontologies, regarding the requirements of their necessities.

Increasingly, public administrations and some companies are providing your data in reusable forma... more 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.

Data Warehousing and OLAP, 2018

Publishing and maintaining open data is a costly task for public institutions, that becomes even ... more Publishing and maintaining open data is a costly task for public institutions, that becomes even more challenging in the context of Smart Cities, where large amounts of varied data are generated from different domains. To optimize resources, they should prioritize the publication and maintenance of datasets most likely to generate social and economic impact. However, there is currently a lack of decision-support tools to help public sector data publishers to evaluate datasets on the light of their particular reuse goals. In this paper, we propose to suggest to data publishers the dataset categories with most potential impact, based on the impact of already published datasets of the same category. To measure impact, we propose a set of indicators based on the amount and quality of Open Source Software projects that use datasets. To aggregate indicators according to specific reuse goals, we provide an Analytic-Hierarchy-Process based tool.

European Conference on Artificial Intelligence, 1998

Knowledge reuse by means of ontologies now faces three important problems: (1) there are no stand... more Knowledge reuse by means of ontologies now faces three important problems: (1) there are no standardized identifying features that characterize ontologies from the user point of view; (2) there are no web sites using the same logical organization, presenting relevant information about ontologies; and (3) the search for appropriate ontologies is hard, timeconsuming and usually fruitless. To solve the above problems, we present: (1) a living set of features that allow us to characterize ontologies from the user point of view and have the same logical organization; (2) a living domain ontology about ontologies (called Reference Ontology) that gathers, describes and has links to existing ontologies; and (3) (ONTO) 2 Agent, the ontology-based www broker about ontologies that uses the Reference Ontology as a source of its knowledge and retrieves descriptions of ontologies that satisfy a given set of constraints. (ONTO) 2 Agent is available at http://delicias.dia.fi.upm.es/REFERENCE_ONTOLOGY/

Journal of Database Management, Apr 1, 2004

In the last years, the development of ontology-based applications has increased considerably, mai... more In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

Business Systems Analysis with Ontologies

In the last years, the development of ontology-based applications has increased considerably, mai... more In the last years, the development of ontology-based applications has increased considerably, mainly related to the Semantic Web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present chapter proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems. ONTOMETRIC, based in the analytic hierarchy process, can be used to select the mostappropriate ontology among various alternatives. This chapter describes the main techniques and activities to apply the method.

Advanced Topics in Database Research, Volume 4

At present, the Web offers available information to people in diverse ways. With the initiative o... more At present, the Web offers available information to people in diverse ways. With the initiative of Semantic Web, the aim is to make the content of Web pages available in a way that allows people and computers to "understand" this information following frameworks commonly agreed upon by means of ontologies. However, users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. To improve the selection of ontologies, this chapter describes the ONTOMETRIC method which allows the users to measure the suitability of existing ontologies, regarding the requirements of their necessities.

Journal of Database Management, 2004

In the last years, the development of ontology-based applications has increased considerably, mai... more In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

Enriching linear videos by offering continuative and related information via, e.g., audio streams... more Enriching linear videos by offering continuative and related information via, e.g., audio streams, web pages, as well as other videos, is typically hampered by its demand for massive editorial work. While a large number of analysis techniques that extract knowledge automatically from video content exists, their produced raw data are typically not of interest to the end user. In this paper, we review our analysis efforts as defined within the LinkedTV project and present the recent advances in core technologies for automatic speech recognition and object-redetection. Furthermore, we introduce our approach for an automatically generated localized person identification database. Finally, the processing of the raw data into a linked resource available in a web compliant format is described.

Advances in Intelligent and Soft Computing, 2010

Lecture Notes in Computer Science, 2010

2017 12th Iberian Conference on Information Systems and Technologies (CISTI), 2017

The ORCID code is becoming the unique identifier for assigning authorship to scientific publicati... more The ORCID code is becoming the unique identifier for assigning authorship to scientific publications. This article describes the processes for representing, in an open — linked data format, the scientific publications of researchers of an university from the ORCID servers. Having the information in this way, there is an enormous potential to make accurate and interesting queries, and generate graphs from these data.

Abstract: In the last years, the development of ontology-based applications has increased conside... more Abstract: In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019

The development of open data portals is increasingly widespread internationally, and they are hig... more The development of open data portals is increasingly widespread internationally, and they are high demanded by software applications' developers. However, when trying to use similar data from different portals, they found the problem of lack of homogenization. This article collects techniques to analyze the terms that appear in the description of the datasets and represent their content semantically. With these techniques, a model is proposed to identify the most suitable terms, with the aim that they can be used in datasets' selection or unification processes.

2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018

Increasingly, datasets are represented in linked open data format. Instead, content reusers, when... more Increasingly, datasets are represented in linked open data format. Instead, content reusers, when trying to develop useful applications for several open data portals, do not find homogeneous representation schemas for same topics' data. This article proposes a semantic model for unification of datasets schemas and resources representation, in order to favour its reuse.

2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019

The number of datasets that are represented in open data formats is increasing. However, despite ... more The number of datasets that are represented in open data formats is increasing. However, despite of the fact that many of them also have the same subject, they do not follow the same representation schemes, which derives from a problem of data use by users and developers, who find difficulties to compare data from differents sources due to the heterogeneity of the schemes. This article proposes a detection model of similar datasets, as a previous step to the unification of their representation schemes.

RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, 2014

La gestión del conocimiento en sistemas de información toma cada día más importancia sobre todo e... more La gestión del conocimiento en sistemas de información toma cada día más importancia sobre todo en sistemas y problemas complejos en los que es fundamental organizar y analizar la información con técnicas adecuadas. En algunos campos, como los procesos de desarrollo del software o en el campo de la salud es fundamental establecer metodologías idóneas que hagan más eficientes estos sistemas.

SENSORS, 2023

Today, machine learning applied to remote sensing data is used for crop detection. This makes it ... more Today, machine learning applied to remote sensing data is used for crop detection. This makes it possible to not only monitor crops but also to detect pests, a lack of irrigation, or other problems. For systems that require high accuracy in crop identification, a large amount of data is required to generate reliable models. The more plots of and data on crop evolution used over time, the more reliable the models. Here, a study has been carried out to analyse neural network models trained with the Sentinel satellite’s 12 bands, compared to models that only use the NDVI, in order to choose the most suitable model in terms of the amount of storage, calculation time, accuracy,
and precision. This study achieved a training time gain of 59.35% for NDVI models compared with 12-band models; however, models based on 12-band values are 1.96% more accurate than those trained with the NDVI alone when it comes to making predictions. The findings of this study could be of great interest to administrations, businesses, land managers, and researchers who use satellite image data mining techniques and wish to design an efficient system, particularly one with limited storage capacity and response times.

Advances in database research series, 2005

At present, the Web offers available information to people in diverse ways. With the initiative o... more At present, the Web offers available information to people in diverse ways. With the initiative of Semantic Web, the aim is to make the content of Web pages available in a way that allows people and computers to "understand" this information following frameworks commonly agreed upon by means of ontologies. However, users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. To improve the selection of ontologies, this chapter describes the ONTOMETRIC method which allows the users to measure the suitability of existing ontologies, regarding the requirements of their necessities.

Increasingly, public administrations and some companies are providing your data in reusable forma... more 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.

Data Warehousing and OLAP, 2018

Publishing and maintaining open data is a costly task for public institutions, that becomes even ... more Publishing and maintaining open data is a costly task for public institutions, that becomes even more challenging in the context of Smart Cities, where large amounts of varied data are generated from different domains. To optimize resources, they should prioritize the publication and maintenance of datasets most likely to generate social and economic impact. However, there is currently a lack of decision-support tools to help public sector data publishers to evaluate datasets on the light of their particular reuse goals. In this paper, we propose to suggest to data publishers the dataset categories with most potential impact, based on the impact of already published datasets of the same category. To measure impact, we propose a set of indicators based on the amount and quality of Open Source Software projects that use datasets. To aggregate indicators according to specific reuse goals, we provide an Analytic-Hierarchy-Process based tool.

European Conference on Artificial Intelligence, 1998

Knowledge reuse by means of ontologies now faces three important problems: (1) there are no stand... more Knowledge reuse by means of ontologies now faces three important problems: (1) there are no standardized identifying features that characterize ontologies from the user point of view; (2) there are no web sites using the same logical organization, presenting relevant information about ontologies; and (3) the search for appropriate ontologies is hard, timeconsuming and usually fruitless. To solve the above problems, we present: (1) a living set of features that allow us to characterize ontologies from the user point of view and have the same logical organization; (2) a living domain ontology about ontologies (called Reference Ontology) that gathers, describes and has links to existing ontologies; and (3) (ONTO) 2 Agent, the ontology-based www broker about ontologies that uses the Reference Ontology as a source of its knowledge and retrieves descriptions of ontologies that satisfy a given set of constraints. (ONTO) 2 Agent is available at http://delicias.dia.fi.upm.es/REFERENCE_ONTOLOGY/

Journal of Database Management, Apr 1, 2004

In the last years, the development of ontology-based applications has increased considerably, mai... more In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

Business Systems Analysis with Ontologies

In the last years, the development of ontology-based applications has increased considerably, mai... more In the last years, the development of ontology-based applications has increased considerably, mainly related to the Semantic Web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present chapter proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems. ONTOMETRIC, based in the analytic hierarchy process, can be used to select the mostappropriate ontology among various alternatives. This chapter describes the main techniques and activities to apply the method.

Advanced Topics in Database Research, Volume 4

At present, the Web offers available information to people in diverse ways. With the initiative o... more At present, the Web offers available information to people in diverse ways. With the initiative of Semantic Web, the aim is to make the content of Web pages available in a way that allows people and computers to "understand" this information following frameworks commonly agreed upon by means of ontologies. However, users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. To improve the selection of ontologies, this chapter describes the ONTOMETRIC method which allows the users to measure the suitability of existing ontologies, regarding the requirements of their necessities.

Journal of Database Management, 2004

In the last years, the development of ontology-based applications has increased considerably, mai... more In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

Enriching linear videos by offering continuative and related information via, e.g., audio streams... more Enriching linear videos by offering continuative and related information via, e.g., audio streams, web pages, as well as other videos, is typically hampered by its demand for massive editorial work. While a large number of analysis techniques that extract knowledge automatically from video content exists, their produced raw data are typically not of interest to the end user. In this paper, we review our analysis efforts as defined within the LinkedTV project and present the recent advances in core technologies for automatic speech recognition and object-redetection. Furthermore, we introduce our approach for an automatically generated localized person identification database. Finally, the processing of the raw data into a linked resource available in a web compliant format is described.

Advances in Intelligent and Soft Computing, 2010

Lecture Notes in Computer Science, 2010

2017 12th Iberian Conference on Information Systems and Technologies (CISTI), 2017

The ORCID code is becoming the unique identifier for assigning authorship to scientific publicati... more The ORCID code is becoming the unique identifier for assigning authorship to scientific publications. This article describes the processes for representing, in an open — linked data format, the scientific publications of researchers of an university from the ORCID servers. Having the information in this way, there is an enormous potential to make accurate and interesting queries, and generate graphs from these data.

Abstract: In the last years, the development of ontology-based applications has increased conside... more Abstract: In the last years, the development of ontology-based applications has increased considerably, mainly related to the semantic web. Users currently looking for ontologies in order to incorporate them into their systems, just use their experience and intuition. This makes it difficult for them to justify their choices. Mainly, this is due to the lack of methods that help the user to determine which are the most appropriate ontologies for the new system. To solve this deficiency, the present work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019

The development of open data portals is increasingly widespread internationally, and they are hig... more The development of open data portals is increasingly widespread internationally, and they are high demanded by software applications' developers. However, when trying to use similar data from different portals, they found the problem of lack of homogenization. This article collects techniques to analyze the terms that appear in the description of the datasets and represent their content semantically. With these techniques, a model is proposed to identify the most suitable terms, with the aim that they can be used in datasets' selection or unification processes.

2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018

Increasingly, datasets are represented in linked open data format. Instead, content reusers, when... more Increasingly, datasets are represented in linked open data format. Instead, content reusers, when trying to develop useful applications for several open data portals, do not find homogeneous representation schemas for same topics' data. This article proposes a semantic model for unification of datasets schemas and resources representation, in order to favour its reuse.

2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019

The number of datasets that are represented in open data formats is increasing. However, despite ... more The number of datasets that are represented in open data formats is increasing. However, despite of the fact that many of them also have the same subject, they do not follow the same representation schemes, which derives from a problem of data use by users and developers, who find difficulties to compare data from differents sources due to the heterogeneity of the schemes. This article proposes a detection model of similar datasets, as a previous step to the unification of their representation schemes.

RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, 2014

La gestión del conocimiento en sistemas de información toma cada día más importancia sobre todo e... more La gestión del conocimiento en sistemas de información toma cada día más importancia sobre todo en sistemas y problemas complejos en los que es fundamental organizar y analizar la información con técnicas adecuadas. En algunos campos, como los procesos de desarrollo del software o en el campo de la salud es fundamental establecer metodologías idóneas que hagan más eficientes estos sistemas.