Predicting knowledge in an ontology stream

Freddy Lécué; Jeff Z. Pan

Predicting knowledge in an ontology stream

Freddy Lécué, Jeff Z. Pan

Computing Science

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

26 Citations (Scopus)

Abstract

Recently, ontology stream reasoning has been introduced as a multidisciplinary approach, merging synergies from Artificial Intelligence, Database, World-Wide-Web to reason on semantic augmented data streams. Although knowledge evolution and real-time reasoning have been largely addressed in ontology streams, the challenge of predicting its future (or missing) knowledge remains open and yet unexplored. We tackle predictive reasoning as a correlation and interpretation of past semanticsaugmented data over exogenous ontology streams. Consistent predictions are constructed as Description Logics entailments by selecting and applying relevant cross-streams association rules. The experiments have shown accurate prediction with real and live stream data from Dublin City in Ireland.

Original language	English
Title of host publication	Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)
Editors	Francesca Rossi
Publisher	AAAI Press
Pages	2662-2669
Number of pages	8
ISBN (Print)	9781577356332
Publication status	Published - 2013
Event	23rd International Joint Conference on Artificial Intelligence, IJCAI 2013 - Beijing, China Duration: 3 Aug 2013 → 9 Aug 2013

Conference

Conference	23rd International Joint Conference on Artificial Intelligence, IJCAI 2013
Country/Territory	China
City	Beijing
Period	3/08/13 → 9/08/13

Keywords

semantic web
ontology
stream
description logics
predictive reasoning
prediction

Access to Document

https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6608Licence: Unspecified

Cite this

Lécué, F & Pan, JZ 2013, Predicting knowledge in an ontology stream. in F Rossi (ed.), Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). AAAI Press, pp. 2662-2669, 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013, Beijing, China, 3/08/13. <https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6608>

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title = "Predicting knowledge in an ontology stream",

abstract = "Recently, ontology stream reasoning has been introduced as a multidisciplinary approach, merging synergies from Artificial Intelligence, Database, World-Wide-Web to reason on semantic augmented data streams. Although knowledge evolution and real-time reasoning have been largely addressed in ontology streams, the challenge of predicting its future (or missing) knowledge remains open and yet unexplored. We tackle predictive reasoning as a correlation and interpretation of past semanticsaugmented data over exogenous ontology streams. Consistent predictions are constructed as Description Logics entailments by selecting and applying relevant cross-streams association rules. The experiments have shown accurate prediction with real and live stream data from Dublin City in Ireland.",

keywords = "semantic web, ontology, stream, description logics, predictive reasoning, prediction",

author = "Freddy L{\'e}cu{\'e} and Pan, {Jeff Z.}",

note = "The research leading to these results has received funding from the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement IDs 318201 (SIMPLI-CITY) and 286348 (K-Drive).; 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013 ; Conference date: 03-08-2013 Through 09-08-2013",

year = "2013",

language = "English",

isbn = "9781577356332",

pages = "2662--2669",

editor = "Francesca Rossi",

booktitle = "Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)",

publisher = "AAAI Press",

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TY - GEN

T1 - Predicting knowledge in an ontology stream

AU - Lécué, Freddy

AU - Pan, Jeff Z.

N1 - The research leading to these results has received funding from the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement IDs 318201 (SIMPLI-CITY) and 286348 (K-Drive).

PY - 2013

Y1 - 2013

N2 - Recently, ontology stream reasoning has been introduced as a multidisciplinary approach, merging synergies from Artificial Intelligence, Database, World-Wide-Web to reason on semantic augmented data streams. Although knowledge evolution and real-time reasoning have been largely addressed in ontology streams, the challenge of predicting its future (or missing) knowledge remains open and yet unexplored. We tackle predictive reasoning as a correlation and interpretation of past semanticsaugmented data over exogenous ontology streams. Consistent predictions are constructed as Description Logics entailments by selecting and applying relevant cross-streams association rules. The experiments have shown accurate prediction with real and live stream data from Dublin City in Ireland.

AB - Recently, ontology stream reasoning has been introduced as a multidisciplinary approach, merging synergies from Artificial Intelligence, Database, World-Wide-Web to reason on semantic augmented data streams. Although knowledge evolution and real-time reasoning have been largely addressed in ontology streams, the challenge of predicting its future (or missing) knowledge remains open and yet unexplored. We tackle predictive reasoning as a correlation and interpretation of past semanticsaugmented data over exogenous ontology streams. Consistent predictions are constructed as Description Logics entailments by selecting and applying relevant cross-streams association rules. The experiments have shown accurate prediction with real and live stream data from Dublin City in Ireland.

KW - semantic web

KW - ontology

KW - stream

KW - description logics

KW - predictive reasoning

KW - prediction

UR - http://www.scopus.com/inward/record.url?scp=84896061807&partnerID=8YFLogxK

M3 - Published conference contribution

AN - SCOPUS:84896061807

SN - 9781577356332

SP - 2662

EP - 2669

BT - Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)

A2 - Rossi, Francesca

PB - AAAI Press

T2 - 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

Y2 - 3 August 2013 through 9 August 2013

ER -

Predicting knowledge in an ontology stream

Abstract

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Keywords

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