Using linked data for semi-automatic guesstimation

Jonathan Abourbih; Alan Bundy; Fiona McNeill

Using linked data for semi-automatic guesstimation

Jonathan Abourbih, Alan Bundy, Fiona McNeill

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

GORT is a system that combines Linked Data from across several Semantic Web data sources to solve guesstimation problems, with user assistance. The system uses customised inference rules over the relationships in the OpenCyc ontology, combined with data from DBPedia, to reason and perform its calculations. The system is extensible with new Linked Data, as it becomes available, and is capable of answering a small range of guesstimation questions.

Original language	English
Title of host publication	Proceedings of AAAI Spring Symposium Series
Subtitle of host publication	Linked Data Meets Artificial Intelligence
Editors	Harry Halpin, Vinay K. Chaudhri, Dan Brickley, Deborah McGuinness
Publisher	AAAI Press
Pages	2-7
Number of pages	6
Publication status	Published - Mar 2010

Keywords / Materials (for Non-textual outputs)

AAAI
Artificial Intelligence
Guesstimation

Access to Document

Full textAccepted author manuscript, 542 KB

http://www.aaai.org/ocs/index.php/SSS/SSS10/paper/view/1055

Integration and Interaction of multiple mathematical reasoning processes
Bundy, A., Colton, S., Aspinall, D., Dennis, L., Fleuriot, J., Georgieva, L., Ireland, A., Jackson, P. & Smaill, A.
EPSRC
1/04/07 → 31/03/11
Project: Research

Cite this

@inproceedings{530925a3f5af4b34b0f35dba37c6433d,

title = "Using linked data for semi-automatic guesstimation",

abstract = "GORT is a system that combines Linked Data from across several Semantic Web data sources to solve guesstimation problems, with user assistance. The system uses customised inference rules over the relationships in the OpenCyc ontology, combined with data from DBPedia, to reason and perform its calculations. The system is extensible with new Linked Data, as it becomes available, and is capable of answering a small range of guesstimation questions.",

keywords = "AAAI, Artificial Intelligence, Guesstimation",

author = "Jonathan Abourbih and Alan Bundy and Fiona McNeill",

year = "2010",

month = mar,

language = "English",

pages = "2--7",

editor = "Harry Halpin and Chaudhri, {Vinay K.} and Dan Brickley and Deborah McGuinness",

booktitle = "Proceedings of AAAI Spring Symposium Series",

publisher = "AAAI Press",

}

Using linked data for semi-automatic guesstimation. / Abourbih, Jonathan; Bundy, Alan ; McNeill, Fiona.
Proceedings of AAAI Spring Symposium Series: Linked Data Meets Artificial Intelligence. ed. / Harry Halpin; Vinay K. Chaudhri; Dan Brickley; Deborah McGuinness. AAAI Press, 2010. p. 2-7.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Using linked data for semi-automatic guesstimation

AU - Abourbih, Jonathan

AU - Bundy, Alan

AU - McNeill, Fiona

PY - 2010/3

Y1 - 2010/3

N2 - GORT is a system that combines Linked Data from across several Semantic Web data sources to solve guesstimation problems, with user assistance. The system uses customised inference rules over the relationships in the OpenCyc ontology, combined with data from DBPedia, to reason and perform its calculations. The system is extensible with new Linked Data, as it becomes available, and is capable of answering a small range of guesstimation questions.

AB - GORT is a system that combines Linked Data from across several Semantic Web data sources to solve guesstimation problems, with user assistance. The system uses customised inference rules over the relationships in the OpenCyc ontology, combined with data from DBPedia, to reason and perform its calculations. The system is extensible with new Linked Data, as it becomes available, and is capable of answering a small range of guesstimation questions.

KW - AAAI

KW - Artificial Intelligence

KW - Guesstimation

M3 - Conference contribution

SP - 2

EP - 7

BT - Proceedings of AAAI Spring Symposium Series

A2 - Halpin, Harry

A2 - Chaudhri, Vinay K.

A2 - Brickley, Dan

A2 - McGuinness, Deborah

PB - AAAI Press

ER -

Using linked data for semi-automatic guesstimation

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Integration and Interaction of multiple mathematical reasoning processes

Cite this