A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data

Ilkcan Keles; Omar Qawasmeh; Tabea Tietz; Ludovica Marinucci; Roberto Reda; Marieke Van Erp

doi:10.4230/OASIcs.LDK.2019.13

A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data

Ilkcan Keles, Omar Qawasmeh, Tabea Tietz, Ludovica Marinucci, Roberto Reda, Marieke Van Erp

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

The Web of Data has grown explosively over the past few years, and as with any dataset, there are bound to be invalid statements in the data, as well as gaps. Natural Language Processing (NLP) is gaining interest to fill gaps in data by transforming (unstructured) text into structured data. However, there is currently a fundamental mismatch in approaches between Linked Data and NLP as the latter is often based on statistical methods, and the former on explicitly modelling knowledge. However, these fields can strengthen each other by joining forces. In this position paper, we argue that using linked data to validate the output of an NLP system, and using textual data to validate Linked Open Data (LOD) cloud statements is a promising research avenue. We illustrate our proposal with a proof of concept on a corpus of historical travel stories.

Originalsprog	Engelsk
Titel	2nd Conference on Language, Data and Knowledge (LDK 2019)
Redaktører	Maria Eskevich, Gerard de Melo, Christian Fath, John P. McCrae, Paul Buitelaar, Christian Chiarcos, Bettina Klimek, Milan Dojchinovski
Antal sider	8
Forlag	Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Publikationsdato	2019
Sider	13:1-13:8
Artikelnummer	13
ISBN (Trykt)	978-3-95977-105-4
ISBN (Elektronisk)	9783959771054
DOI	https://doi.org/10.4230/OASIcs.LDK.2019.13
Status	Udgivet - 2019
Begivenhed	Conference on Language, Data and Knowledge - Leipzig, Tyskland Varighed: 20 maj 2019 → 23 maj 2019 Konferencens nummer: 2nd http://2019.ldk-conf.org/

Konference

Konference	Conference on Language, Data and Knowledge
Nummer	2nd
Land/Område	Tyskland
By	Leipzig
Periode	20/05/2019 → 23/05/2019
Internetadresse	http://2019.ldk-conf.org/

Navn	Open Access Series in Informatics
Vol/bind	70
ISSN	2190-6807

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10.4230/OASIcs.LDK.2019.13

OASIcs-LDK-2019-13Forlagets udgivne version, 348 KBLicens: CC BY 3.0

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Citationsformater

Keles, I., Qawasmeh, O., Tietz, T., Marinucci, L., Reda, R., & Van Erp, M. (2019). A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data. I M. Eskevich, G. de Melo, C. Fath, J. P. McCrae, P. Buitelaar, C. Chiarcos, B. Klimek, & M. Dojchinovski (red.), 2nd Conference on Language, Data and Knowledge (LDK 2019) (s. 13:1-13:8). Artikel 13 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.LDK.2019.13

Keles, Ilkcan ; Qawasmeh, Omar ; Tietz, Tabea et al. / A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data. 2nd Conference on Language, Data and Knowledge (LDK 2019). red. / Maria Eskevich ; Gerard de Melo ; Christian Fath ; John P. McCrae ; Paul Buitelaar ; Christian Chiarcos ; Bettina Klimek ; Milan Dojchinovski. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2019. s. 13:1-13:8 (Open Access Series in Informatics, Bind 70).

@inproceedings{f5d82e3279c44323909020a4d20fc94d,

title = "A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data",

abstract = "The Web of Data has grown explosively over the past few years, and as with any dataset, there are bound to be invalid statements in the data, as well as gaps. Natural Language Processing (NLP) is gaining interest to fill gaps in data by transforming (unstructured) text into structured data. However, there is currently a fundamental mismatch in approaches between Linked Data and NLP as the latter is often based on statistical methods, and the former on explicitly modelling knowledge. However, these fields can strengthen each other by joining forces. In this position paper, we argue that using linked data to validate the output of an NLP system, and using textual data to validate Linked Open Data (LOD) cloud statements is a promising research avenue. We illustrate our proposal with a proof of concept on a corpus of historical travel stories.",

keywords = "Data validity, Linked data, Natural language processing",

author = "Ilkcan Keles and Omar Qawasmeh and Tabea Tietz and Ludovica Marinucci and Roberto Reda and {Van Erp}, Marieke",

year = "2019",

doi = "10.4230/OASIcs.LDK.2019.13",

language = "English",

isbn = "978-3-95977-105-4",

series = "Open Access Series in Informatics",

publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",

pages = "13:1--13:8",

editor = "Maria Eskevich and {de Melo}, Gerard and Christian Fath and McCrae, {John P.} and Paul Buitelaar and Christian Chiarcos and Bettina Klimek and Milan Dojchinovski",

booktitle = "2nd Conference on Language, Data and Knowledge (LDK 2019)",

note = "Conference on Language, Data and Knowledge, LDK 2019 ; Conference date: 20-05-2019 Through 23-05-2019",

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Keles, I, Qawasmeh, O, Tietz, T, Marinucci, L, Reda, R & Van Erp, M 2019, A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data. i M Eskevich, G de Melo, C Fath, JP McCrae, P Buitelaar, C Chiarcos, B Klimek & M Dojchinovski (red), 2nd Conference on Language, Data and Knowledge (LDK 2019)., 13, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Open Access Series in Informatics, bind 70, s. 13:1-13:8, Conference on Language, Data and Knowledge, Leipzig, Tyskland, 20/05/2019. https://doi.org/10.4230/OASIcs.LDK.2019.13

A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data. / Keles, Ilkcan; Qawasmeh, Omar; Tietz, Tabea et al.
2nd Conference on Language, Data and Knowledge (LDK 2019). red. / Maria Eskevich; Gerard de Melo; Christian Fath; John P. McCrae; Paul Buitelaar; Christian Chiarcos; Bettina Klimek; Milan Dojchinovski. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2019. s. 13:1-13:8 13 (Open Access Series in Informatics, Bind 70).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data

AU - Keles, Ilkcan

AU - Qawasmeh, Omar

AU - Tietz, Tabea

AU - Marinucci, Ludovica

AU - Reda, Roberto

AU - Van Erp, Marieke

N1 - Conference code: 2nd

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N2 - The Web of Data has grown explosively over the past few years, and as with any dataset, there are bound to be invalid statements in the data, as well as gaps. Natural Language Processing (NLP) is gaining interest to fill gaps in data by transforming (unstructured) text into structured data. However, there is currently a fundamental mismatch in approaches between Linked Data and NLP as the latter is often based on statistical methods, and the former on explicitly modelling knowledge. However, these fields can strengthen each other by joining forces. In this position paper, we argue that using linked data to validate the output of an NLP system, and using textual data to validate Linked Open Data (LOD) cloud statements is a promising research avenue. We illustrate our proposal with a proof of concept on a corpus of historical travel stories.

AB - The Web of Data has grown explosively over the past few years, and as with any dataset, there are bound to be invalid statements in the data, as well as gaps. Natural Language Processing (NLP) is gaining interest to fill gaps in data by transforming (unstructured) text into structured data. However, there is currently a fundamental mismatch in approaches between Linked Data and NLP as the latter is often based on statistical methods, and the former on explicitly modelling knowledge. However, these fields can strengthen each other by joining forces. In this position paper, we argue that using linked data to validate the output of an NLP system, and using textual data to validate Linked Open Data (LOD) cloud statements is a promising research avenue. We illustrate our proposal with a proof of concept on a corpus of historical travel stories.

KW - Data validity

KW - Linked data

KW - Natural language processing

U2 - 10.4230/OASIcs.LDK.2019.13

DO - 10.4230/OASIcs.LDK.2019.13

M3 - Article in proceeding

SN - 978-3-95977-105-4

T3 - Open Access Series in Informatics

SP - 13:1-13:8

BT - 2nd Conference on Language, Data and Knowledge (LDK 2019)

A2 - Eskevich, Maria

A2 - de Melo, Gerard

A2 - Fath, Christian

A2 - McCrae, John P.

A2 - Buitelaar, Paul

A2 - Chiarcos, Christian

A2 - Klimek, Bettina

A2 - Dojchinovski, Milan

PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing

T2 - Conference on Language, Data and Knowledge

Y2 - 20 May 2019 through 23 May 2019

ER -

Keles I, Qawasmeh O, Tietz T, Marinucci L, Reda R, Van Erp M. A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data. I Eskevich M, de Melo G, Fath C, McCrae JP, Buitelaar P, Chiarcos C, Klimek B, Dojchinovski M, red., 2nd Conference on Language, Data and Knowledge (LDK 2019). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. 2019. s. 13:1-13:8. 13. (Open Access Series in Informatics, Bind 70). doi: 10.4230/OASIcs.LDK.2019.13

A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data

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