Semantic search meets the Web

Miriam Fernandez; Vanessa Lopez; Marta Sabou; Victoria Uren; David Vallet; Enrico Motta; Pablo Castells

doi:10.1109/ICSC.2008.52

Semantic search meets the Web

Miriam Fernandez, Vanessa Lopez, Marta Sabou, Victoria Uren, David Vallet, Enrico Motta, Pablo Castells

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

Abstract

While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3]. Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies.

Original language	English
Title of host publication	2th IEEE International Conference on Semantic Computing (ICSC 2008), August 4-7, 2008, Santa Clara, California, USA
Publisher	IEEE
Pages	253-260
Number of pages	8
ISBN (Print)	978-0-7695-3279-0
DOIs	https://doi.org/10.1109/ICSC.2008.52
Publication status	Published - 2008
Event	2th IEEE International Conference on Semantic Computing - Santa Clara. CA, United States Duration: 4 Aug 2008 → 7 Aug 2008

Conference

Conference	2th IEEE International Conference on Semantic Computing
Abbreviated title	ICSC 2008
Country/Territory	United States
City	Santa Clara. CA
Period	4/08/08 → 7/08/08

Access to Document

10.1109/ICSC.2008.52

Cite this

@inproceedings{6166a02633294a30aa993003a62b6afe,

title = "Semantic search meets the Web",

abstract = "While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3]. Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies.",

author = "Miriam Fernandez and Vanessa Lopez and Marta Sabou and Victoria Uren and David Vallet and Enrico Motta and Pablo Castells",

year = "2008",

doi = "10.1109/ICSC.2008.52",

language = "English",

isbn = "978-0-7695-3279-0 ",

pages = "253--260",

booktitle = "2th IEEE International Conference on Semantic Computing (ICSC 2008), August 4-7, 2008, Santa Clara, California, USA",

publisher = "IEEE",

address = "United States",

note = "2th IEEE International Conference on Semantic Computing, ICSC 2008 ; Conference date: 04-08-2008 Through 07-08-2008",

}

Fernandez, M, Lopez, V, Sabou, M, Uren, V, Vallet, D, Motta, E & Castells, P 2008, Semantic search meets the Web. in 2th IEEE International Conference on Semantic Computing (ICSC 2008), August 4-7, 2008, Santa Clara, California, USA. IEEE, pp. 253-260, 2th IEEE International Conference on Semantic Computing, Santa Clara. CA, United States, 4/08/08. https://doi.org/10.1109/ICSC.2008.52

TY - GEN

T1 - Semantic search meets the Web

AU - Fernandez, Miriam

AU - Lopez, Vanessa

AU - Sabou, Marta

AU - Uren, Victoria

AU - Vallet, David

AU - Motta, Enrico

AU - Castells, Pablo

PY - 2008

Y1 - 2008

N2 - While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3]. Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies.

AB - While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3]. Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies.

UR - http://www.scopus.com/inward/record.url?scp=52149111131&partnerID=8YFLogxK

UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4597199

U2 - 10.1109/ICSC.2008.52

DO - 10.1109/ICSC.2008.52

M3 - Conference publication

SN - 978-0-7695-3279-0

SP - 253

EP - 260

BT - 2th IEEE International Conference on Semantic Computing (ICSC 2008), August 4-7, 2008, Santa Clara, California, USA

PB - IEEE

T2 - 2th IEEE International Conference on Semantic Computing

Y2 - 4 August 2008 through 7 August 2008

ER -

Semantic search meets the Web

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Supervising Doctoral Students

Cite this

Semantic search meets the Web

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Activities

Supervising Doctoral Students

Cite this