Abstract. Partial knowledge about geospatial categories is critical for knowledge modelling in th... more Abstract. Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps between geospatial categories, especially those based on geospatial actions concepts and geospatial enitity concepts need to be specified in ontologies. We present an approach to encode probabilistic information in geospatial ontologies based on the BayesOWL approach.
In the last decade, we have witnessed the birth and spread of the so-called Semantic Web. From it... more In the last decade, we have witnessed the birth and spread of the so-called Semantic Web. From its initial proposal by Tim Berners-Lee , to the latest trends and initiatives, such as Linked Data and DBpedia, the Semantic Web is progressively changing the landscape of the World Wide Web (WWW) through the use and adoption of the different semantic technologies that have come along with it. We can see how, although some of the goals of the Semantic Web have not been reached yet, several well-known and successful applications are already using semantic technologies, such as Google’s Knowledge Graph, Microsoft’s Satori, or Facebook’s Graph Search. In this successful scenario, ontologies have played a crucial role. Defined by Tom Gruber as “an explicit specification of a conceptualization” , ontologies allow to model and capture the semantics of different knowledge domains, providing a means to share definitions, and reach an implicit agreement on the meaning of the published information. Ontologies represent the vocabulary of some domain from a common perspective using a formal language, such as the current standard Web Ontology Language. Thus, with their advance and the development of their associated technologies, we can now explore deeper in the quest for smarter information Systems which exploit the semantics of data.
The advantage of using semantic reasoners based on Description Logics (DL) for the development of... more The advantage of using semantic reasoners based on Description Logics (DL) for the development of intelligent systems is doubtless: They make easy the optimal management of knowledge (expressed as ontologies). Reasoning is a complex and computationally expensive task traditionally performed on powerful server and desktop computers. However, we should not discard reasoners from being used on mobile devices such as smartphones or tablets, as the increasing number of applications run on wireless environments demands that many intelligent tasks should be performed on mobile devices rather than on desktop or server computers. Although less powerful that their fixed counterparts, mobile devices are becoming more and more capable of running complex tasks, such as DL reasoning. In this paper we introduce the framework of a competition for reasoners on mobile devices, based on the OWL Reasoner Evaluation, with the main goal of promoting the development of reasoners adapted to mobile environm...
3rd International Workshop on OWL Reasoner Evaluation (ORE 2014), 2014
Applications for mobile devices could often show a more in-
telligent behavior by using a semant... more Applications for mobile devices could often show a more in-
telligent behavior by using a semantic reasoner to discover new knowledge. Unfortunately, using Description Logic reasoners on Android devices is not trivial. In this paper we continue our previous work on investigating the use of semantic reasoners on mobile devices. In particular, we port some new OWL 2 EL reasoners to Android and analyze the results of some experiments measuring the performance of several OWL 2 DL and OWL 2 EL reasoners on Android smartphones and tablets.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009
Abstract: Classical ontologies are not suitable to represent imprecise nor uncertain pieces of in... more Abstract: Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but they require an appropriate fuzzy language to be agreed on and an important number ...
Abstract. Partial knowledge about geospatial categories is critical for knowledge modelling in th... more Abstract. Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps between geospatial categories, especially those based on geospatial actions concepts and geospatial enitity concepts need to be specified in ontologies. We present an approach to encode probabilistic information in geospatial ontologies based on the BayesOWL approach.
In the last decade, we have witnessed the birth and spread of the so-called Semantic Web. From it... more In the last decade, we have witnessed the birth and spread of the so-called Semantic Web. From its initial proposal by Tim Berners-Lee , to the latest trends and initiatives, such as Linked Data and DBpedia, the Semantic Web is progressively changing the landscape of the World Wide Web (WWW) through the use and adoption of the different semantic technologies that have come along with it. We can see how, although some of the goals of the Semantic Web have not been reached yet, several well-known and successful applications are already using semantic technologies, such as Google’s Knowledge Graph, Microsoft’s Satori, or Facebook’s Graph Search. In this successful scenario, ontologies have played a crucial role. Defined by Tom Gruber as “an explicit specification of a conceptualization” , ontologies allow to model and capture the semantics of different knowledge domains, providing a means to share definitions, and reach an implicit agreement on the meaning of the published information. Ontologies represent the vocabulary of some domain from a common perspective using a formal language, such as the current standard Web Ontology Language. Thus, with their advance and the development of their associated technologies, we can now explore deeper in the quest for smarter information Systems which exploit the semantics of data.
The advantage of using semantic reasoners based on Description Logics (DL) for the development of... more The advantage of using semantic reasoners based on Description Logics (DL) for the development of intelligent systems is doubtless: They make easy the optimal management of knowledge (expressed as ontologies). Reasoning is a complex and computationally expensive task traditionally performed on powerful server and desktop computers. However, we should not discard reasoners from being used on mobile devices such as smartphones or tablets, as the increasing number of applications run on wireless environments demands that many intelligent tasks should be performed on mobile devices rather than on desktop or server computers. Although less powerful that their fixed counterparts, mobile devices are becoming more and more capable of running complex tasks, such as DL reasoning. In this paper we introduce the framework of a competition for reasoners on mobile devices, based on the OWL Reasoner Evaluation, with the main goal of promoting the development of reasoners adapted to mobile environm...
3rd International Workshop on OWL Reasoner Evaluation (ORE 2014), 2014
Applications for mobile devices could often show a more in-
telligent behavior by using a semant... more Applications for mobile devices could often show a more in-
telligent behavior by using a semantic reasoner to discover new knowledge. Unfortunately, using Description Logic reasoners on Android devices is not trivial. In this paper we continue our previous work on investigating the use of semantic reasoners on mobile devices. In particular, we port some new OWL 2 EL reasoners to Android and analyze the results of some experiments measuring the performance of several OWL 2 DL and OWL 2 EL reasoners on Android smartphones and tablets.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009
Abstract: Classical ontologies are not suitable to represent imprecise nor uncertain pieces of in... more Abstract: Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but they require an appropriate fuzzy language to be agreed on and an important number ...
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Papers by Fernando Bobillo
through the use and adoption of the different semantic technologies that have come along with it. We can see how, although some of the goals of the Semantic Web have
not been reached yet, several well-known and successful applications are already using semantic technologies, such as Google’s Knowledge Graph, Microsoft’s Satori, or Facebook’s Graph Search. In this successful scenario, ontologies have played a crucial role. Defined by
Tom Gruber as “an explicit specification of a conceptualization” , ontologies allow to model and capture the semantics of different knowledge domains, providing a means to share definitions, and reach an implicit agreement on the meaning of the published information. Ontologies represent the vocabulary of some domain from a common perspective using a formal language, such as the current standard Web Ontology Language. Thus, with their advance and the development of their associated technologies, we can
now explore deeper in the quest for smarter information Systems which exploit the semantics of data.
telligent behavior by using a semantic reasoner to discover new knowledge. Unfortunately, using Description Logic reasoners on Android devices is not trivial. In this paper we continue our previous work on investigating the use of semantic reasoners on mobile devices. In particular, we port some new OWL 2 EL reasoners to Android and analyze the results of some experiments measuring the performance of several OWL 2 DL and OWL 2 EL reasoners on Android smartphones and tablets.
through the use and adoption of the different semantic technologies that have come along with it. We can see how, although some of the goals of the Semantic Web have
not been reached yet, several well-known and successful applications are already using semantic technologies, such as Google’s Knowledge Graph, Microsoft’s Satori, or Facebook’s Graph Search. In this successful scenario, ontologies have played a crucial role. Defined by
Tom Gruber as “an explicit specification of a conceptualization” , ontologies allow to model and capture the semantics of different knowledge domains, providing a means to share definitions, and reach an implicit agreement on the meaning of the published information. Ontologies represent the vocabulary of some domain from a common perspective using a formal language, such as the current standard Web Ontology Language. Thus, with their advance and the development of their associated technologies, we can
now explore deeper in the quest for smarter information Systems which exploit the semantics of data.
telligent behavior by using a semantic reasoner to discover new knowledge. Unfortunately, using Description Logic reasoners on Android devices is not trivial. In this paper we continue our previous work on investigating the use of semantic reasoners on mobile devices. In particular, we port some new OWL 2 EL reasoners to Android and analyze the results of some experiments measuring the performance of several OWL 2 DL and OWL 2 EL reasoners on Android smartphones and tablets.