Merging and ranking answers in the semantic web: the wisdom of crowds

Vanessa Lopez, Andriy Nikolov, Miriam Fernandez, Marta Sabou, Victoria Uren, Enrico Motta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our proposal includes a merging algorithm that aggregates, combines and filters ontology-based search results and three different ranking algorithms that sort the final answers according to different criteria such as popularity, confidence and semantic interpretation of results. An experimental evaluation on a large scale corpus indicates improvements in the quality of the search results with respect to a scenario where the merging and ranking algorithms were not applied. These collective methods for merging and ranking allow to answer questions that are distributed across ontologies, while at the same time, they can filter irrelevant answers, fuse similar answers together, and elicit the most accurate answer(s) to a question.
Original languageEnglish
Title of host publicationThe semantic web
Subtitle of host publicationfourth Asian conference, ASWC 2009, Shanghai, China, December 6-9, 2009. Proceedings
EditorsAsunción Gómez-Pérez, Yong Yu, Ying Ding
Place of PublicationBerlin (DE)
PublisherSpringer
Pages135-152
Number of pages18
Volume5926 LNCS
ISBN (Electronic)978-3-642-10871-6
ISBN (Print)978-3-642-10870-9
DOIs
Publication statusPublished - 2009
Event4th Annual Asian Semantic Web Conference - Shanghai, China
Duration: 6 Dec 20099 Dec 2009

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume5926
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th Annual Asian Semantic Web Conference
Abbreviated titleASWC 2009
CountryChina
CityShanghai
Period6/12/099/12/09

Keywords

  • question answering
  • ranking
  • merging
  • fusion
  • semantic web

Fingerprint Dive into the research topics of 'Merging and ranking answers in the semantic web: the wisdom of crowds'. Together they form a unique fingerprint.

  • Research Output

    • 1 Conference contribution

    Overcoming schema heterogeneity between linked semantic repositories to improve coreference resolution

    Nikolov, A., Uren, V., Motta, E. & de Roeck, A., 2009, The semantic web: fourth Asian conference, ASWC 2009, Shanghai, China, December 6-9, 2009. Proceedings. Gómez-Pérez, A., Yu, Y. & Ding, Y. (eds.). Berlin (DE): Springer, Vol. 5926 LNCS. p. 332-346 15 p. (Lecture notes in computer science; vol. 5926).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Activities

    • 1 Types of External academic engagement - Research and Teaching at External Organisation

    Supervising Doctoral Students

    Victoria Uren (Member)

    20022012

    Activity: Other activity typesTypes of External academic engagement - Research and Teaching at External Organisation

    Cite this

    Lopez, V., Nikolov, A., Fernandez, M., Sabou, M., Uren, V., & Motta, E. (2009). Merging and ranking answers in the semantic web: the wisdom of crowds. In A. Gómez-Pérez, Y. Yu, & Y. Ding (Eds.), The semantic web: fourth Asian conference, ASWC 2009, Shanghai, China, December 6-9, 2009. Proceedings (Vol. 5926 LNCS, pp. 135-152). (Lecture notes in computer science; Vol. 5926). Springer. https://doi.org/10.1007/978-3-642-10871-6_10