Article

KnoFuss: a comprehensive architecture for knowledge fusion

Authors:

Andriy Nikolov,

Victoria Uren,

Enrico MottaAuthors Info & Claims

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

Pages 185 - 186

https://doi.org/10.1145/1298406.1298446

Published: 28 October 2007 Publication History

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Abstract

We propose a knowledge fusion architecture KnoFuss based on the application of problem-solving methods technology, which allows methods for subtasks of the fusion process to be combined and the best methods to be selected, depending on the domain and task at hand.

References

[1]

da Costa, P.C.G., K.B. Laskey, and K.J. Laskey. PROWL: A Bayesian Ontology Language for the Semantic Web. Workshop on Uncertainty Reasoning for the Semantic Web, International Semantic Web Conference, Galway, Ireland, 2005.

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Kalyanpur, A., et al., Repairing Unsatisfiable Concepts in OWL ontologies. 3rd European Semantic Web conference, p. 170--184, Budva, Montenegro, 2006.

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Motta, E., Reusable components for knowledge modelling. Frontiers in Artificial Intelligence and Applications, ed. J. Breuker, et al. Vol. 53, Amsterdam: IOS Press. 1999.

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Winkler, W. Overview of Record Linkage and Current Research Directions. Tech. Report #2006-2, Statistical Research Division, U.S. Census Bureau, 2006

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Papadakis GIoannou EThanos EPalpanas T(2021)The Four Generations of Entity ResolutionSynthesis Lectures on Data Management10.2200/S01067ED1V01Y202012DTM06416:2(1-170)Online publication date: 15-Mar-2021
https://doi.org/10.2200/S01067ED1V01Y202012DTM064
Ngonga Ngomo ASherif MGeorgala KHassan MDreßler KLyko KObraczka DSoru T(2021)LIMES: A Framework for Link Discovery on the Semantic WebKI - Künstliche Intelligenz10.1007/s13218-021-00713-xOnline publication date: 17-Mar-2021
https://doi.org/10.1007/s13218-021-00713-x
Jin XEom SShin SLee KHong C(2021)DORIC: discovering topological relations based on spatial link compositionKnowledge and Information Systems10.1007/s10115-021-01603-263:10(2645-2669)Online publication date: 16-Aug-2021
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Index Terms

KnoFuss: a comprehensive architecture for knowledge fusion
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Semantic networks

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Published In

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

October 2007

216 pages

ISBN:9781595936431

DOI:10.1145/1298406

Editors:
Derek Sleeman
University of Aberdeen, UK
,
Ken Barker
University of Texas at Austin

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2007

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K-CAP07

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K-CAP07: International Conference on Knowledge Capture 2007

October 28 - 31, 2007

BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Papadakis GIoannou EThanos EPalpanas T(2021)The Four Generations of Entity ResolutionSynthesis Lectures on Data Management10.2200/S01067ED1V01Y202012DTM06416:2(1-170)Online publication date: 15-Mar-2021
https://doi.org/10.2200/S01067ED1V01Y202012DTM064
Ngonga Ngomo ASherif MGeorgala KHassan MDreßler KLyko KObraczka DSoru T(2021)LIMES: A Framework for Link Discovery on the Semantic WebKI - Künstliche Intelligenz10.1007/s13218-021-00713-xOnline publication date: 17-Mar-2021
https://doi.org/10.1007/s13218-021-00713-x
Jin XEom SShin SLee KHong C(2021)DORIC: discovering topological relations based on spatial link compositionKnowledge and Information Systems10.1007/s10115-021-01603-263:10(2645-2669)Online publication date: 16-Aug-2021
https://doi.org/10.1007/s10115-021-01603-2
Papadakis GSkoutas DThanos EPalpanas T(2020)Blocking and Filtering Techniques for Entity ResolutionACM Computing Surveys10.1145/337745553:2(1-42)Online publication date: 20-Mar-2020
https://dl.acm.org/doi/10.1145/3377455
Wu TWang HLi CQi GNiu XWang MLi LShi C(2019)Knowledge graph construction from multiple online encyclopediasWorld Wide Web10.1007/s11280-019-00719-4Online publication date: 14-Sep-2019
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Faraj GMicsik A(2019)Enriching Wikidata with Cultural Heritage Data from the COURAGE ProjectMetadata and Semantic Research10.1007/978-3-030-36599-8_37(407-418)Online publication date: 4-Dec-2019
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Xie CYang PYang Y(2018)Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record EnrichmentIEEE Access10.1109/ACCESS.2018.28108376(15202-15211)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2810837
Zhang YSaberi MChang E(2018)A semantic-based knowledge fusion model for solution-oriented information network developmentScientometrics10.1007/s11192-018-2904-6117:2(857-886)Online publication date: 1-Nov-2018
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Neves Ade Oliveira RLeme LLopes GNunes BCasanova M(2018)Empirical Analysis of Ranking Models for an Adaptable Dataset SearchThe Semantic Web10.1007/978-3-319-93417-4_4(50-64)Online publication date: 3-Jun-2018
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Achichi MBen Ellefi MBellahsene ZTodorov K(2018)Doing Web Data: from Dataset Recommendation to Data LinkingNoSQL Data Models10.1002/9781119528227.ch3(57-91)Online publication date: 6-Aug-2018
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MEFE: A Multi-fEature Knowledge Fusion and Evaluation Method Based on BERT

Fusing multiple Bayesian knowledge sources

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