2004
Journal article
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Integrating knowledge representation and reasoning in geographical information systems
Mancarella P, Raffaetà A, Renso C, Turini F
We propose a formalism and a programming environment in which sophisticated spatio-temporal reasoning can be performed, while keeping the capabilities of manipulating and presenting large amounts of geographical data, typical of commercial Geographical Information Systems (GISs). The spatio-temporal knowledge representation language, named MuTACLP$. $, is based on constraint logic programming and it is integrated via a middleware of commands and translation features with a commercial GIS. The paper presents the language, the architecture of the environment and a few examples of its use in the field of event planning.Source: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (PRINT), vol. 18 (issue 4), pp. 417-447
DOI: 10.1080/13658810410001672908
Metrics:
Mancarella P, Raffaetà A, Renso C, Turini F
We propose a formalism and a programming environment in which sophisticated spatio-temporal reasoning can be performed, while keeping the capabilities of manipulating and presenting large amounts of geographical data, typical of commercial Geographical Information Systems (GISs). The spatio-temporal knowledge representation language, named MuTACLP$. $, is based on constraint logic programming and it is integrated via a middleware of commands and translation features with a commercial GIS. The paper presents the language, the architecture of the environment and a few examples of its use in the field of event planning.Source: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (PRINT), vol. 18 (issue 4), pp. 417-447
DOI: 10.1080/13658810410001672908
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International Journal of Geographical Information Science 
| CNR IRIS | CNR IRIS
2003
Conference article
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Qualitative spatial reasoning in a logical framework
Raffaetà A, Renso C, Turini F
In this paper we present an approach to qualitative spatial reasoning based on the spatio-temporal language STACLP. In particular, we show how the topological 9-intersection model and the direction relations based on projections can be modelled in such a framework. STACLP is a constraint logic programming language where formulae can be annotated with labels (annotations) and where relations between these labels can be expressed by using constraints. Annotations are used to represent both time and space.DOI: 10.1007/b13658
Metrics:
Raffaetà A, Renso C, Turini F
In this paper we present an approach to qualitative spatial reasoning based on the spatio-temporal language STACLP. In particular, we show how the topological 9-intersection model and the direction relations based on projections can be modelled in such a framework. STACLP is a constraint logic programming language where formulae can be annotated with labels (annotations) and where relations between these labels can be expressed by using constraints. Annotations are used to represent both time and space.DOI: 10.1007/b13658
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doi.org | CNR IRIS | CNR IRIS | link.springer.com
2006
Conference article
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Interrogazioni in linguaggio naturale a basi dati eterogenee: l'ontologia nel sistema "FuLL" nei GIS
Bombara M, Calì D, Calì I, Giovannetti E, Masserotti M V, Renso C, Spinsanti L, Tropea G
The interaction between users and GIS software is a known and critical issue. The importance of giving those users a natural language interface to the system is thus strategic. Moving such a NL interface between heterogeneous DBs is an even more challenging task. We accomplish this by using a domain ontology as a knowledge repository and interface between raw data and language semantics. Successful tests of FuLL's (Fuzzy Logic and Language) technology are reported, where we have used the same ontology structure and connected it to Bologna's and Catania's district geo-databases.
Bombara M, Calì D, Calì I, Giovannetti E, Masserotti M V, Renso C, Spinsanti L, Tropea G
The interaction between users and GIS software is a known and critical issue. The importance of giving those users a natural language interface to the system is thus strategic. Moving such a NL interface between heterogeneous DBs is an even more challenging task. We accomplish this by using a domain ontology as a knowledge repository and interface between raw data and language semantics. Successful tests of FuLL's (Fuzzy Logic and Language) technology are reported, where we have used the same ontology structure and connected it to Bologna's and Catania's district geo-databases.
2008
Conference article
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The spatial knowledge representation of players movement in mobile outdoor gaming
Wachowicz M, Daniel O, Renso C, Muoz Moraga E, Parada J
This paper describes an innovative approach for developing a spatial knowledge representation based on the existence of multi tier spaces as a mental construction of human movement. The three "spaces" paradigm has been proposed to support the reasoning process in terms of sensing, symbolic, and social spaces. The spatial knowledge representation was implemented as a computational ontology in Protégé, and it has been applied to provide new insight about the actual behavioural patterns of players within a recreation site, accordingly to checkpoints and similar players ́ interactions. This first experiment consisted of an educational game in Amsterdam using mobile phones and GPStechnology for 200 students having the age of 12-14. The results demonstrate that different types of inferences play a different role accordingly to what a recreational planner needs to infer, that is, the location of interactions among players and the environment.
Wachowicz M, Daniel O, Renso C, Muoz Moraga E, Parada J
This paper describes an innovative approach for developing a spatial knowledge representation based on the existence of multi tier spaces as a mental construction of human movement. The three "spaces" paradigm has been proposed to support the reasoning process in terms of sensing, symbolic, and social spaces. The spatial knowledge representation was implemented as a computational ontology in Protégé, and it has been applied to provide new insight about the actual behavioural patterns of players within a recreation site, accordingly to checkpoints and similar players ́ interactions. This first experiment consisted of an educational game in Amsterdam using mobile phones and GPStechnology for 200 students having the age of 12-14. The results demonstrate that different types of inferences play a different role accordingly to what a recreational planner needs to infer, that is, the location of interactions among players and the environment.
2009
Conference article
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A tool for extracting ontologies from geographical databases
Baglioni M, Masserotti M V, Renso C, Soriano L, Spinsanti L
The last few years have seen a growing interest in approaches that define methodologies to automatically extract semantics from databases by using ontologies. Geographical database quite often lack both metadata and conceptual schema, thus the automatic extraction of semantic information is particularly useful. We describe an approach to extract a geospatial ontology from geographical data stored in spatial database with special regard to handling geographical entities localization. In this work we describe the proposed methodology and the implementation details of the realized ontology extraction system.
Baglioni M, Masserotti M V, Renso C, Soriano L, Spinsanti L
The last few years have seen a growing interest in approaches that define methodologies to automatically extract semantics from databases by using ontologies. Geographical database quite often lack both metadata and conceptual schema, thus the automatic extraction of semantic information is particularly useful. We describe an approach to extract a geospatial ontology from geographical data stored in spatial database with special regard to handling geographical entities localization. In this work we describe the proposed methodology and the implementation details of the realized ontology extraction system.
2001
Contribution to conference
Metadata Only Access
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CNR IRIS
2001
Contribution to conference
Metadata Only Access
See at:
CNR IRIS
2006
Contribution to book
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Maximun entropy inference for geographical information systems
Hykel H, Masserotti M V, Renso C
This paper considers the problem of characterizing an inference process for reasoning under uncertainty in Geographic Information Systems (GIS). By focusing on a representative case study we outline the crucial aspects of the management of uncertainty in GIS. This enables us to argue, on methodological rather than practical grounds, in favour of the Maximum Entropy (ME) inference process. Speci ̄cally, we show how this constitutes a theoretically well-founded solution to the problems that arise naturally in GIS facing imperfect information. We also put forward how, as a consequence of the encouraging developments on computational techniques for reasoning under maximum entropy, the latter must be considered as a most crucial approach to uncertainty management in various ̄elds of GIS science.
Hykel H, Masserotti M V, Renso C
This paper considers the problem of characterizing an inference process for reasoning under uncertainty in Geographic Information Systems (GIS). By focusing on a representative case study we outline the crucial aspects of the management of uncertainty in GIS. This enables us to argue, on methodological rather than practical grounds, in favour of the Maximum Entropy (ME) inference process. Speci ̄cally, we show how this constitutes a theoretically well-founded solution to the problems that arise naturally in GIS facing imperfect information. We also put forward how, as a consequence of the encouraging developments on computational techniques for reasoning under maximum entropy, the latter must be considered as a most crucial approach to uncertainty management in various ̄elds of GIS science.
2007
Contribution to book
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Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process
Renso C
The proliferation of mobile technologies for 'always-on' at 'any-time' and 'anyplace' has facilitated the generation of huge volume of positioning data sets containing information about the location and the movement of entities through the geographic environment. In principle, every time an entity moves through space, it creates a trajectory (i.e. track or path) representing the history of its past and current locations. Examples of interesting trajectories of moving entities may range from hurricane and tornado tracks [19] to individual trajectories of animals [26] and planes [5]. Specially designed sensors can provide the location of a mobile entity as well as information about the geographic environment where this entity is moving. Current research on mobile technologies such as sensor web, wireless communication and portable computers has been crucial for the development of multi-sensor systems. Their use to sense a geographic environment and mobile entities can include photodiodes to detect light level, accelerometers to provide tilt and vibration measurements, passive infrared sensors to detect the proximity of humans, omni-directionalmicrophones to detect sound and other built-in sensors for temperature, pressure, and CO gas [9].
Renso C
The proliferation of mobile technologies for 'always-on' at 'any-time' and 'anyplace' has facilitated the generation of huge volume of positioning data sets containing information about the location and the movement of entities through the geographic environment. In principle, every time an entity moves through space, it creates a trajectory (i.e. track or path) representing the history of its past and current locations. Examples of interesting trajectories of moving entities may range from hurricane and tornado tracks [19] to individual trajectories of animals [26] and planes [5]. Specially designed sensors can provide the location of a mobile entity as well as information about the geographic environment where this entity is moving. Current research on mobile technologies such as sensor web, wireless communication and portable computers has been crucial for the development of multi-sensor systems. Their use to sense a geographic environment and mobile entities can include photodiodes to detect light level, accelerometers to provide tilt and vibration measurements, passive infrared sensors to detect the proximity of humans, omni-directionalmicrophones to detect sound and other built-in sensors for temperature, pressure, and CO gas [9].
2007
Contribution to book
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Wireless Network Data Sources: Tracking and Synthesizing Trajectories
Renso C, Puntoni S, Frentzos E, Mazzoni A, Moelans B, Pelekis N, Pini F
Due to inexpensive modern sensing technologies and extensive use of wireless communication, location information about moving objects is increasing rapidly. Some positioning technologies are based on GPS-equipped devices, while others utilize the infrastructure of the underlying communication network. This opens new opportunities for offering, monitoring, and decision-making novel applications in a variety of fields. To name a few, we have location-based services (LBS), fleet management and traffic control applications, emergency, navigation, and geocoding services. These compose a subset of existing applications where such kind of data comprise the core of the underlying business.
Renso C, Puntoni S, Frentzos E, Mazzoni A, Moelans B, Pelekis N, Pini F
Due to inexpensive modern sensing technologies and extensive use of wireless communication, location information about moving objects is increasing rapidly. Some positioning technologies are based on GPS-equipped devices, while others utilize the infrastructure of the underlying communication network. This opens new opportunities for offering, monitoring, and decision-making novel applications in a variety of fields. To name a few, we have location-based services (LBS), fleet management and traffic control applications, emergency, navigation, and geocoding services. These compose a subset of existing applications where such kind of data comprise the core of the underlying business.
2009
Contribution to book
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The role of a multi-tier ontological framework in reasoning to discover meaningful patterns of sustainable mobility
Wachowicz M, Macedo J, Renso C, Ligtenberg A
The successful applications of Geographical Knowledge Discovery in Databases (GKDD) are not common, despite the vast literature on knowledge discovery in databases. Although it is relatively straightforward to find patterns in very large spatio-temporal databases, establishing their relevance and explaining their causes are both very complex problems. In practice, spatio- temporal databases are not adequate to handle geographical knowledge in an ad-hoc manner, and as a result, most of the patterns found in a GKDD process may well already be background knowledge, which refers to the common sense reasoning of a geographical knowledge domain. Addressing these issues requires considering a geographical knowledge discovery process as a multi- tier ontological process, in the sense that more complex reasoning modes can be used to help the comprehension of what makes one pattern structurally and meaningfully different from another. Towards this goal, this Chapter proposes a multi-tier ontological framework to support a GKDD process. Three ontological tiers are described to provide the common base for the organisation of different nature and sources of knowledge as well as the reasoning tasks integrated within a spatio-temporal database. They are: Domain, Application and Data Ontology Tiers. The potential of this approach is illustrated on (a) reducing the semantic gap between an ontological tier and a database representation by using mappings between the ontology and conceptual model, and (b) permitting to define spatio-temporal relationships within an ontology, which can be translated to spatio-temporal conceptual queries. The implementation has been carried out as a proof-of-concept and the specific information metaphor of movement-as-trajectory has been used to illustrate the implementation of the Data Ontology Tier. The preliminary results are pointing out that geographical knowledge of sustainable mobility must come from a global and systemic view of patterns within a GKDD process, and the important role of a multi-tier ontological framework on the integration of semantic abstractions (concepts), reasoning tasks, and patterns. They had also drawn attention to the fact that combining ontological representation with database querying mechanisms is fundamental for the use information metaphors in GKDD processes.
Wachowicz M, Macedo J, Renso C, Ligtenberg A
The successful applications of Geographical Knowledge Discovery in Databases (GKDD) are not common, despite the vast literature on knowledge discovery in databases. Although it is relatively straightforward to find patterns in very large spatio-temporal databases, establishing their relevance and explaining their causes are both very complex problems. In practice, spatio- temporal databases are not adequate to handle geographical knowledge in an ad-hoc manner, and as a result, most of the patterns found in a GKDD process may well already be background knowledge, which refers to the common sense reasoning of a geographical knowledge domain. Addressing these issues requires considering a geographical knowledge discovery process as a multi- tier ontological process, in the sense that more complex reasoning modes can be used to help the comprehension of what makes one pattern structurally and meaningfully different from another. Towards this goal, this Chapter proposes a multi-tier ontological framework to support a GKDD process. Three ontological tiers are described to provide the common base for the organisation of different nature and sources of knowledge as well as the reasoning tasks integrated within a spatio-temporal database. They are: Domain, Application and Data Ontology Tiers. The potential of this approach is illustrated on (a) reducing the semantic gap between an ontological tier and a database representation by using mappings between the ontology and conceptual model, and (b) permitting to define spatio-temporal relationships within an ontology, which can be translated to spatio-temporal conceptual queries. The implementation has been carried out as a proof-of-concept and the specific information metaphor of movement-as-trajectory has been used to illustrate the implementation of the Data Ontology Tier. The preliminary results are pointing out that geographical knowledge of sustainable mobility must come from a global and systemic view of patterns within a GKDD process, and the important role of a multi-tier ontological framework on the integration of semantic abstractions (concepts), reasoning tasks, and patterns. They had also drawn attention to the fact that combining ontological representation with database querying mechanisms is fundamental for the use information metaphors in GKDD processes.
2010
Conference article
Open Access
Where you go is who you are: understanding people's activities by places visited
Spinsanti L, Celli F, Renso C
The increasing availability of people traces - collected by portable devices - poses new possibilities and challenges for the study of people mobile behaviour. However, the raw data produced by such portable devices is poor from a semantic point of view, thus the gap between the person's activity and the raw collected data generated by the activity is still too wide. The work presented in this paper aims to define an algorithm to understand the activity of a moving person from the sequence of places she visited. The contribution is twofold. On one hand, an algorithm to associate each stop of the traveling person to a list of probable visited places is introduced. On the other hand, the obtained sequence of places is classified into a possible activity performed by the moving person. Preliminary experimental results on a dataset of people moving by car in the city of Milan are reported.Project(s): MODAP
Spinsanti L, Celli F, Renso C
The increasing availability of people traces - collected by portable devices - poses new possibilities and challenges for the study of people mobile behaviour. However, the raw data produced by such portable devices is poor from a semantic point of view, thus the gap between the person's activity and the raw collected data generated by the activity is still too wide. The work presented in this paper aims to define an algorithm to understand the activity of a moving person from the sequence of places she visited. The contribution is twofold. On one hand, an algorithm to associate each stop of the traveling person to a list of probable visited places is introduced. On the other hand, the obtained sequence of places is classified into a possible activity performed by the moving person. Preliminary experimental results on a dataset of people moving by car in the city of Milan are reported.Project(s): MODAP
See at:
ftp.informatik.rwth-aachen.de 
| CNR IRIS | CNR IRIS
2004
Other
Open Access
Imperfect information management in GIS: A logical-mathematical approach
Hosni H, Masserotti M V, Renso C
We survey the relevance of the maximum entropy inference process to the management of uncertainty in Geographic Information Systems. We show how the former constitutes a theoretically well-founded solution to problems that arise naturally in GIS facing imperfect information. We also put forward how, as a consequence of the encouraging developments on computational techniques for reasoning under maximum entropy, the latter must be considered as a most crucial approach to uncertainty management in various fields of GIS science.
Hosni H, Masserotti M V, Renso C
We survey the relevance of the maximum entropy inference process to the management of uncertainty in Geographic Information Systems. We show how the former constitutes a theoretically well-founded solution to problems that arise naturally in GIS facing imperfect information. We also put forward how, as a consequence of the encouraging developments on computational techniques for reasoning under maximum entropy, the latter must be considered as a most crucial approach to uncertainty management in various fields of GIS science.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2011
Journal article
Open Access
An algorithm to identify avoidance behavior in moving object trajectories
Alvares Lo, Loy Am, Renso C, Bogorny V
Research on trajectory behavior has increased significantly in the last few years. The focus has been on the search for patterns considering the movement of the moving object in space and time, essentially looking for similar geometric properties and dense regions. This paper proposes an algorithm to detect a new kind of behavior pattern that identifies when a moving object is avoiding specific spatial regions, such as security cameras. This behavior pattern is called avoidance. The algorithm was evaluated with real trajectory data and achieved very good results.Source: JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY, vol. 17 (issue 3), pp. 193-203
DOI: 10.1007/s13173-011-0037-3
Metrics:
Alvares Lo, Loy Am, Renso C, Bogorny V
Research on trajectory behavior has increased significantly in the last few years. The focus has been on the search for patterns considering the movement of the moving object in space and time, essentially looking for similar geometric properties and dense regions. This paper proposes an algorithm to detect a new kind of behavior pattern that identifies when a moving object is avoiding specific spatial regions, such as security cameras. This behavior pattern is called avoidance. The algorithm was evaluated with real trajectory data and achieved very good results.Source: JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY, vol. 17 (issue 3), pp. 193-203
DOI: 10.1007/s13173-011-0037-3
Metrics:
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Journal of the Brazilian Computer Society | CNR IRIS | CNR IRIS
2011
Conference article
Open Access
Trajectory data analysis using complex networks
Brilhante I, De Macedo J, Renso C, Casanova M A
A massive amount of data on moving object trajectories is available today. However, it is still a major challenge to process such information in order to explain moving object interactions, which could help in revealing non-trivial behavioral patterns. To that end, we consider a complex networks-based representation of trajectory data. Frequent encounters among moving objects (trajectory encounters) are used to create the network edges whereas nodes represent trajectories. A real trajectory dataset of vehicles moving within the City of Milan allows us to study the structure of vehicle interactions and validate our method. We create seven networks and compute the clustering coefficient, and the average shortest path length comparing them with those of the Erd?s-Rényi model. Our analysis shows that all computed trajectory networks have the small world effect and the scale-free feature similar to the internet and biological networks. Finally, we discuss how these results could be interpreted in the light of the traffic application domain.DOI: 10.1145/2076623.2076627
Metrics:
Brilhante I, De Macedo J, Renso C, Casanova M A
A massive amount of data on moving object trajectories is available today. However, it is still a major challenge to process such information in order to explain moving object interactions, which could help in revealing non-trivial behavioral patterns. To that end, we consider a complex networks-based representation of trajectory data. Frequent encounters among moving objects (trajectory encounters) are used to create the network edges whereas nodes represent trajectories. A real trajectory dataset of vehicles moving within the City of Milan allows us to study the structure of vehicle interactions and validate our method. We create seven networks and compute the clustering coefficient, and the average shortest path length comparing them with those of the Erd?s-Rényi model. Our analysis shows that all computed trajectory networks have the small world effect and the scale-free feature similar to the internet and biological networks. Finally, we discuss how these results could be interpreted in the light of the traffic application domain.DOI: 10.1145/2076623.2076627
Metrics:
See at:
www.inf.puc-rio.br | dl.acm.org | doi.org | CNR IRIS | CNR IRIS
2011
Journal article
Open Access
Special issue on "Context-Aware Data Mining (CADM)"
Renso C, Bogorny V, Xiong H
Source: KNOWLEDGE AND INFORMATION SYSTEMS, vol. 28 (issue 2), pp. 249-250
DOI: 10.1007/s10115-011-0436-y
Metrics:
Renso C, Bogorny V, Xiong H
Source: KNOWLEDGE AND INFORMATION SYSTEMS, vol. 28 (issue 2), pp. 249-250
DOI: 10.1007/s10115-011-0436-y
Metrics:
See at:
Knowledge and Information Systems | Knowledge and Information Systems | CNR IRIS | CNR IRIS | www.springerlink.com
2011
Other
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Complex network study on moving object trajectories
Brilhante Igo Ramalho, De Macedo Jose, Renso Chiara
Although we have a massive amount of data on moving object trajectories, which have been easily collected by geographic positioning devices, it is still a major challenge to process such information in order to generate knowledge about the behavior of these objects. In this paper, we study moving object trajectories from a complex network point of view. First, we consider a network with a node representing one trajectory and an edge representing an encounter between two trajectories in time and space. Real data were gathered from vehicles moving within Milan's city center, in a total of 225,932 trajectories. We have generated 7 networks denoting each day of the week. Our analysis shows that for all computed networks the degree distribution decays exponentially. We determine the exact values of the clustering coefficient, and the average shortest path length and compare them with those of the Erdo ?s-Re ?nyi. The time evolution of these quantities are calculated and the corresponding results discussed.
Brilhante Igo Ramalho, De Macedo Jose, Renso Chiara
Although we have a massive amount of data on moving object trajectories, which have been easily collected by geographic positioning devices, it is still a major challenge to process such information in order to generate knowledge about the behavior of these objects. In this paper, we study moving object trajectories from a complex network point of view. First, we consider a network with a node representing one trajectory and an edge representing an encounter between two trajectories in time and space. Real data were gathered from vehicles moving within Milan's city center, in a total of 225,932 trajectories. We have generated 7 networks denoting each day of the week. Our analysis shows that for all computed networks the degree distribution decays exponentially. We determine the exact values of the clustering coefficient, and the average shortest path length and compare them with those of the Erdo ?s-Re ?nyi. The time evolution of these quantities are calculated and the corresponding results discussed.
2013
Journal article
Restricted
Semantic trajectories modeling and analysis
Parent C, Spaccapietra S, Renso C, Andrienko G, Andrienko N, Bogorny V, Damiani Ml, Gkoulalas Da, Macedo Ja, Pelekis N, Theodoridis Y, Yan Z
Focus on movement data has increased as a consequence of the larger availability of such data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in movement has shifted from raw movement data analysis to more application-oriented ways of analyzing segments of movement suitable for the specific purposes of the application. This trend has promoted semantically rich trajectories, rather than raw movement, as the core object of interest in mobility studies. This survey provides the definitions of the basic concepts about mobility data, an analysis of the issues in mobility data management, and a survey of the approaches and techniques for: (i) constructing trajectories from movement tracks, (ii) enriching trajectories with semantic information to enable the desired interpretations of movements, and (iii) using data mining to analyze semantic trajectories and extract knowledge about their characteristics, in particular the behavioral patterns of the moving objects. Last but not least, the article surveys the new privacy issues that arise due to the semantic aspects of trajectories.Source: ACM COMPUTING SURVEYS, vol. 45 (issue 4), pp. 42-1-42-32
DOI: 10.1145/2501654.2501656
Project(s): MODAP
Metrics:
Parent C, Spaccapietra S, Renso C, Andrienko G, Andrienko N, Bogorny V, Damiani Ml, Gkoulalas Da, Macedo Ja, Pelekis N, Theodoridis Y, Yan Z
Focus on movement data has increased as a consequence of the larger availability of such data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in movement has shifted from raw movement data analysis to more application-oriented ways of analyzing segments of movement suitable for the specific purposes of the application. This trend has promoted semantically rich trajectories, rather than raw movement, as the core object of interest in mobility studies. This survey provides the definitions of the basic concepts about mobility data, an analysis of the issues in mobility data management, and a survey of the approaches and techniques for: (i) constructing trajectories from movement tracks, (ii) enriching trajectories with semantic information to enable the desired interpretations of movements, and (iii) using data mining to analyze semantic trajectories and extract knowledge about their characteristics, in particular the behavioral patterns of the moving objects. Last but not least, the article surveys the new privacy issues that arise due to the semantic aspects of trajectories.Source: ACM COMPUTING SURVEYS, vol. 45 (issue 4), pp. 42-1-42-32
DOI: 10.1145/2501654.2501656
Project(s): MODAP
Metrics:
See at:
dl.acm.org | ACM Computing Surveys | CNR IRIS | Infoscience - EPFL scientific publications | CNR IRIS | Fraunhofer-ePrints
2013
Contribution to book
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Tailoring trajectories and their moving patterns to contexts
Wachowicz M, Ong R, Renso C
Nowadays heterogeneous mobile data sources are producing an enor- mous amount of contextual information that can improve our interpreta- tion of discovered mobility patterns. Because both an entity and the data sources can be mobile, what context is and how it can be used to inter- pret mobility patters may vary anyplace at anytime. This paper describes an approach for tailoring mobility patterns based on the synergy of trajec- tory and mobility pattern annotation techniques, where contexts are rep- resented as dynamic semantic views. These views are obtained after the classification of context variables that are selected based on the classifica- tion criteria previously proposed for a taxonomy of collective phenom- ena. An experiment is used to illustrate the proposed approach for tailor- ing moving flock patterns to contexts of visitors in a recreational area.Source: LECTURE NOTES IN GEOINFORMATION AND CARTOGRAPHY, pp. 285-303
DOI: 10.1007/978-3-319-00615-4_16
Project(s): SEEK
Metrics:
Wachowicz M, Ong R, Renso C
Nowadays heterogeneous mobile data sources are producing an enor- mous amount of contextual information that can improve our interpreta- tion of discovered mobility patterns. Because both an entity and the data sources can be mobile, what context is and how it can be used to inter- pret mobility patters may vary anyplace at anytime. This paper describes an approach for tailoring mobility patterns based on the synergy of trajec- tory and mobility pattern annotation techniques, where contexts are rep- resented as dynamic semantic views. These views are obtained after the classification of context variables that are selected based on the classifica- tion criteria previously proposed for a taxonomy of collective phenom- ena. An experiment is used to illustrate the proposed approach for tailor- ing moving flock patterns to contexts of visitors in a recreational area.Source: LECTURE NOTES IN GEOINFORMATION AND CARTOGRAPHY, pp. 285-303
DOI: 10.1007/978-3-319-00615-4_16
Project(s): SEEK
Metrics:
See at:
doi.org | CNR IRIS | CNR IRIS | link.springer.com
2013
Conference article
Open Access
A proactive application to monitor truck fleets
Da Costa Albuquerque F, Casanova M A, De Macedo J A F, De Carvalho Mtm, Renso C
Positioning systems, combined with inexpensive communication technologies, open interesting possibilities to implement real-time applications that monitor vehicles and support decision making. This paper first discusses basic requirements for proactive real-time monitoring applications. Then, it describes how to structure and geo-reference unstructured text information available on the Internet, with a focus on road conditions change and using available geocoding services. Lastly, the paper outlines an application that monitors a fleet of trucks and incorporates proactive features.DOI: 10.1109/mdm.2013.44
Project(s): SEEK
Metrics:
Da Costa Albuquerque F, Casanova M A, De Macedo J A F, De Carvalho Mtm, Renso C
Positioning systems, combined with inexpensive communication technologies, open interesting possibilities to implement real-time applications that monitor vehicles and support decision making. This paper first discusses basic requirements for proactive real-time monitoring applications. Then, it describes how to structure and geo-reference unstructured text information available on the Internet, with a focus on road conditions change and using available geocoding services. Lastly, the paper outlines an application that monitors a fleet of trucks and incorporates proactive features.DOI: 10.1109/mdm.2013.44
Project(s): SEEK
Metrics:
See at:
www.inf.puc-rio.br | doi.org | CNR IRIS | CNR IRIS