Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information

Sören Auer; Theodore Dalamagas; Helen Parkinson; François Bancilhon; Giorgos Flouris; Dimitris Sacharidis; Peter Buneman; Dimitris Kotzinos; Yannis Stavrakas; Vassilis Christophides; George Papastefanatos; Kostas Thiveos

doi:10.1145/2422604.2422610

Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information

Sören Auer, Theodore Dalamagas, Helen Parkinson, François Bancilhon, Giorgos Flouris, Dimitris Sacharidis, Peter Buneman, Dimitris Kotzinos, Yannis Stavrakas, Vassilis Christophides, George Papastefanatos, Kostas Thiveos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The Linked Data Paradigm is a promising technology for publishing, sharing, and connecting data on the Web, which provides new perspectives for data integration and interoperability. However, the proliferation of distributed, interconnected linked data sources on the Web poses significant new challenges for consistently managing the vast number of potentially large datasets and their interdependencies. In this article we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues, which hinder applications and users, are related to the temporal aspect that is intrinsic in Linked Data. We present three use cases to motivate our approach, we discuss problems that occur, and propose a direction for a solution.

Original language	English
Title of host publication	Proceedings of the First International Workshop on Open Data
Place of Publication	New York, NY, USA
Publisher	ACM
Pages	31-39
Number of pages	9
ISBN (Print)	978-1-4503-1404-6
DOIs	https://doi.org/10.1145/2422604.2422610
Publication status	Published - 25 May 2012

Publication series

Name	WOD '12
Publisher	ACM

Keywords

data evolution
data preservation
linked data lifecycle
data provenance

Access to Document

10.1145/2422604.2422610

http://doi.acm.org/10.1145/2422604.2422610

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Auer, S., Dalamagas, T., Parkinson, H., Bancilhon, F., Flouris, G., Sacharidis, D., Buneman, P., Kotzinos, D., Stavrakas, Y., Christophides, V., Papastefanatos, G., & Thiveos, K. (2012). Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information. In Proceedings of the First International Workshop on Open Data (pp. 31-39). (WOD '12). ACM. https://doi.org/10.1145/2422604.2422610

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title = "Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information",

abstract = "The Linked Data Paradigm is a promising technology for publishing, sharing, and connecting data on the Web, which provides new perspectives for data integration and interoperability. However, the proliferation of distributed, interconnected linked data sources on the Web poses significant new challenges for consistently managing the vast number of potentially large datasets and their interdependencies. In this article we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues, which hinder applications and users, are related to the temporal aspect that is intrinsic in Linked Data. We present three use cases to motivate our approach, we discuss problems that occur, and propose a direction for a solution.",

keywords = "data evolution, data preservation, linked data lifecycle, data provenance",

author = "S{\"o}ren Auer and Theodore Dalamagas and Helen Parkinson and Fran{\c c}ois Bancilhon and Giorgos Flouris and Dimitris Sacharidis and Peter Buneman and Dimitris Kotzinos and Yannis Stavrakas and Vassilis Christophides and George Papastefanatos and Kostas Thiveos",

year = "2012",

month = may,

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language = "English",

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Auer, S, Dalamagas, T, Parkinson, H, Bancilhon, F, Flouris, G, Sacharidis, D, Buneman, P, Kotzinos, D, Stavrakas, Y, Christophides, V, Papastefanatos, G & Thiveos, K 2012, Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information. in Proceedings of the First International Workshop on Open Data. WOD '12, ACM, New York, NY, USA, pp. 31-39. https://doi.org/10.1145/2422604.2422610

TY - GEN

T1 - Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information

AU - Auer, Sören

AU - Dalamagas, Theodore

AU - Parkinson, Helen

AU - Bancilhon, François

AU - Flouris, Giorgos

AU - Sacharidis, Dimitris

AU - Buneman, Peter

AU - Kotzinos, Dimitris

AU - Stavrakas, Yannis

AU - Christophides, Vassilis

AU - Papastefanatos, George

AU - Thiveos, Kostas

PY - 2012/5/25

Y1 - 2012/5/25

N2 - The Linked Data Paradigm is a promising technology for publishing, sharing, and connecting data on the Web, which provides new perspectives for data integration and interoperability. However, the proliferation of distributed, interconnected linked data sources on the Web poses significant new challenges for consistently managing the vast number of potentially large datasets and their interdependencies. In this article we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues, which hinder applications and users, are related to the temporal aspect that is intrinsic in Linked Data. We present three use cases to motivate our approach, we discuss problems that occur, and propose a direction for a solution.

AB - The Linked Data Paradigm is a promising technology for publishing, sharing, and connecting data on the Web, which provides new perspectives for data integration and interoperability. However, the proliferation of distributed, interconnected linked data sources on the Web poses significant new challenges for consistently managing the vast number of potentially large datasets and their interdependencies. In this article we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues, which hinder applications and users, are related to the temporal aspect that is intrinsic in Linked Data. We present three use cases to motivate our approach, we discuss problems that occur, and propose a direction for a solution.

KW - data evolution

KW - data preservation

KW - linked data lifecycle

KW - data provenance

U2 - 10.1145/2422604.2422610

DO - 10.1145/2422604.2422610

M3 - Conference contribution

SN - 978-1-4503-1404-6

T3 - WOD '12

SP - 31

EP - 39

BT - Proceedings of the First International Workshop on Open Data

PB - ACM

CY - New York, NY, USA

ER -

Diachronic Linked Data: Towards Long-term Preservation of Structured Interrelated Information

Abstract

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Keywords

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