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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	2nd Conference on Language, Data and Knowledge (LDK 2019)
Editors	Maria Eskevich, Gerard de Melo, Christian Fath, John P. McCrae, Paul Buitelaar, Christian Chiarcos, Bettina Klimek, Milan Dojchinovski
Number of pages	8
Publisher	Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Publication date	2019
Pages	13:1-13:8
Article number	13
ISBN (Print)	978-3-95977-105-4
ISBN (Electronic)	9783959771054
DOIs	https://doi.org/10.4230/OASIcs.LDK.2019.13
Publication status	Published - 2019
Event	Conference on Language, Data and Knowledge - Leipzig, Germany Duration: 20 May 2019 → 23 May 2019 Conference number: 2nd http://2019.ldk-conf.org/

Conference

Conference	Conference on Language, Data and Knowledge
Number	2nd
Country/Territory	Germany
City	Leipzig
Period	20/05/2019 → 23/05/2019
Internet address	http://2019.ldk-conf.org/

Series	Open Access Series in Informatics
Volume	70
ISSN	2190-6807

Keywords

Data validity
Linked data
Natural language processing

Access to Document

10.4230/OASIcs.LDK.2019.13

OASIcs-LDK-2019-13Final published version, 348 KBLicence: CC BY 3.0

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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. In M. Eskevich, G. de Melo, C. Fath, J. P. McCrae, P. Buitelaar, C. Chiarcos, B. Klimek, & M. Dojchinovski (Eds.), 2nd Conference on Language, Data and Knowledge (LDK 2019) (pp. 13:1-13:8). Article 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). editor / 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. pp. 13:1-13:8 (Open Access Series in Informatics, Vol. 70).

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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.",

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

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language = "English",

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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)",

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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. in M Eskevich, G de Melo, C Fath, JP McCrae, P Buitelaar, C Chiarcos, B Klimek & M Dojchinovski (eds), 2nd Conference on Language, Data and Knowledge (LDK 2019)., 13, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Open Access Series in Informatics, vol. 70, pp. 13:1-13:8, Conference on Language, Data and Knowledge, Leipzig, Germany, 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). ed. / 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. p. 13:1-13:8 13 (Open Access Series in Informatics, Vol. 70).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Qawasmeh, Omar

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AU - Reda, Roberto

AU - Van Erp, Marieke

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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.

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M3 - Article in proceeding

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

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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. In Eskevich M, de Melo G, Fath C, McCrae JP, Buitelaar P, Chiarcos C, Klimek B, Dojchinovski M, editors, 2nd Conference on Language, Data and Knowledge (LDK 2019). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. 2019. p. 13:1-13:8. 13. (Open Access Series in Informatics, Vol. 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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