Semantic mapping with a probabilistic description logic

Rodrigo Polastro; Fabiano Corrêa; Fabio Cozman; Jun Okamoto

doi:10.1007/978-3-642-16138-4_7

Semantic mapping with a probabilistic description logic

Rodrigo Polastro, Fabiano Corrêa, Fabio Cozman, Jun Okamoto

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia

7 Citas (Scopus)

Resumen

Semantic mapping employs explicit labels to deal with sensor data in robotic mapping processes. In this paper we present a method for boosting performance of spatial mapping, through the use of a probabilistic ontology, expressed with a probabilistic description logic. Reasoning with this ontology allows segmentation and tagging of sensor data acquired by a robot during navigation; hence a robot can construct metric maps topologically. We report experiments with a real robot to validate our approach, thus moving closer to the goal of integrating mapping and semantic labeling processes. © 2010 Springer-Verlag.

Idioma original	Inglés estadounidense
Título de la publicación alojada	Semantic mapping with a probabilistic description logic
Páginas	62-71
Número de páginas	10
ISBN (versión digital)	3642161375, 9783642161377
DOI	https://doi.org/10.1007/978-3-642-16138-4_7
Estado	Publicada - 14 dic 2010
Publicado de forma externa	Sí
Evento	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Duración: 1 ene 2018 → …

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	6404 LNAI
ISSN (versión impresa)	0302-9743

Conferencia

Conferencia	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período	1/01/18 → …

Acceder al documento

10.1007/978-3-642-16138-4_7

Huella Profundice en los temas de investigación de 'Semantic mapping with a probabilistic description logic'. En conjunto forman una huella única.

Citar esto

Polastro, R., Corrêa, F., Cozman, F., & Okamoto, J. (2010). Semantic mapping with a probabilistic description logic. En Semantic mapping with a probabilistic description logic (pp. 62-71). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6404 LNAI). https://doi.org/10.1007/978-3-642-16138-4_7

@inproceedings{f23a2d4ab367406bbde70063524b0164,

title = "Semantic mapping with a probabilistic description logic",

abstract = "Semantic mapping employs explicit labels to deal with sensor data in robotic mapping processes. In this paper we present a method for boosting performance of spatial mapping, through the use of a probabilistic ontology, expressed with a probabilistic description logic. Reasoning with this ontology allows segmentation and tagging of sensor data acquired by a robot during navigation; hence a robot can construct metric maps topologically. We report experiments with a real robot to validate our approach, thus moving closer to the goal of integrating mapping and semantic labeling processes. {\textcopyright} 2010 Springer-Verlag.",

author = "Rodrigo Polastro and Fabiano Corr{\^e}a and Fabio Cozman and Jun Okamoto",

year = "2010",

month = dec,

day = "14",

doi = "10.1007/978-3-642-16138-4_7",

language = "American English",

isbn = "3642161375",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "62--71",

booktitle = "Semantic mapping with a probabilistic description logic",

note = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Conference date: 01-01-2018",

}

Polastro, R, Corrêa, F, Cozman, F & Okamoto, J 2010, Semantic mapping with a probabilistic description logic. En Semantic mapping with a probabilistic description logic. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6404 LNAI, pp. 62-71, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/18. https://doi.org/10.1007/978-3-642-16138-4_7

Semantic mapping with a probabilistic description logic. / Polastro, Rodrigo; Corrêa, Fabiano; Cozman, Fabio; Okamoto, Jun.

Semantic mapping with a probabilistic description logic. 2010. p. 62-71 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6404 LNAI).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia

TY - GEN

T1 - Semantic mapping with a probabilistic description logic

AU - Polastro, Rodrigo

AU - Corrêa, Fabiano

AU - Cozman, Fabio

AU - Okamoto, Jun

PY - 2010/12/14

Y1 - 2010/12/14

N2 - Semantic mapping employs explicit labels to deal with sensor data in robotic mapping processes. In this paper we present a method for boosting performance of spatial mapping, through the use of a probabilistic ontology, expressed with a probabilistic description logic. Reasoning with this ontology allows segmentation and tagging of sensor data acquired by a robot during navigation; hence a robot can construct metric maps topologically. We report experiments with a real robot to validate our approach, thus moving closer to the goal of integrating mapping and semantic labeling processes. © 2010 Springer-Verlag.

AB - Semantic mapping employs explicit labels to deal with sensor data in robotic mapping processes. In this paper we present a method for boosting performance of spatial mapping, through the use of a probabilistic ontology, expressed with a probabilistic description logic. Reasoning with this ontology allows segmentation and tagging of sensor data acquired by a robot during navigation; hence a robot can construct metric maps topologically. We report experiments with a real robot to validate our approach, thus moving closer to the goal of integrating mapping and semantic labeling processes. © 2010 Springer-Verlag.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78649967399&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=78649967399&origin=inward

U2 - 10.1007/978-3-642-16138-4_7

DO - 10.1007/978-3-642-16138-4_7

M3 - Conference contribution

SN - 3642161375

SN - 9783642161377

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 62

EP - 71

BT - Semantic mapping with a probabilistic description logic

T2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y2 - 1 January 2018

ER -