Cross ontology query answering on the semantic web: an initial evaluation

Vanessa Lopez; Victoria Uren; Marta R. Sabou; Enrico Motta

doi:10.1145/1597735.1597739

Cross ontology query answering on the semantic web: an initial evaluation

Vanessa Lopez, Victoria Uren, Marta R. Sabou, Enrico Motta

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.

Original language	English
Title of host publication	K-CAP '09
Subtitle of host publication	proceedings of the fifth international conference on knowledge capture
Place of Publication	New York, NY (US)
Publisher	ACM
Pages	17-24
Number of pages	8
ISBN (Print)	978-1-60558-658-8
DOIs	https://doi.org/10.1145/1597735.1597739
Publication status	Published - 2009
Event	5th international conference on knowledge capture - Redondo Beach, CA, United States Duration: 1 Sept 2009 → 4 Sept 2009

Conference

Conference	5th international conference on knowledge capture
Abbreviated title	K-CAP 2009
Country/Territory	United States
City	Redondo Beach, CA
Period	1/09/09 → 4/09/09

Access to Document

10.1145/1597735.1597739

Cite this

@inproceedings{3171d4d3d9e24e7196ef2760203d7b3b,

title = "Cross ontology query answering on the semantic web: an initial evaluation",

abstract = "PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.",

author = "Vanessa Lopez and Victoria Uren and Sabou, {Marta R.} and Enrico Motta",

year = "2009",

doi = "10.1145/1597735.1597739",

language = "English",

isbn = "978-1-60558-658-8",

pages = "17--24",

booktitle = "K-CAP '09",

publisher = "ACM",

address = "United States",

note = "5th international conference on knowledge capture, K-CAP 2009 ; Conference date: 01-09-2009 Through 04-09-2009",

}

Lopez, V, Uren, V, Sabou, MR & Motta, E 2009, Cross ontology query answering on the semantic web: an initial evaluation. in K-CAP '09: proceedings of the fifth international conference on knowledge capture. ACM, New York, NY (US), pp. 17-24, 5th international conference on knowledge capture, Redondo Beach, CA, United States, 1/09/09. https://doi.org/10.1145/1597735.1597739

TY - GEN

T1 - Cross ontology query answering on the semantic web

T2 - 5th international conference on knowledge capture

AU - Lopez, Vanessa

AU - Uren, Victoria

AU - Sabou, Marta R.

AU - Motta, Enrico

PY - 2009

Y1 - 2009

N2 - PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.

AB - PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.

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UR - http://dl.acm.org/citation.cfm?doid=1597735.1597739

U2 - 10.1145/1597735.1597739

DO - 10.1145/1597735.1597739

M3 - Conference publication

SN - 978-1-60558-658-8

SP - 17

EP - 24

BT - K-CAP '09

PB - ACM

CY - New York, NY (US)

Y2 - 1 September 2009 through 4 September 2009

ER -

Cross ontology query answering on the semantic web: an initial evaluation

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Cross ontology query answering on the semantic web: an initial evaluation

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