The OceanLink project

Tom Narock; Robert Arko; Suzanne Carbotte; Adila Alfa Krisnadhi; Pascal Hitzler; Michelle Cheatham; Adam Shepherd; Cynthia Chandler; Lisa Raymond; Peter Wiebe; Timothy Finin

doi:10.1109/BigData.2014.7004347

The OceanLink project

Tom Narock, Robert Arko, Suzanne Carbotte, Adila Alfa Krisnadhi, Pascal Hitzler, Michelle Cheatham, Adam Shepherd, Cynthia Chandler, Lisa Raymond, Peter Wiebe, Timothy Finin

Department of Computer Science

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

8 Citations (Scopus)

Abstract

Today's scientific investigations are producing large numbers of scholarly products. These products continue to increase in diversity and complexity as researchers recognize that scholarly achievements are not only published articles but also datasets, software, and associated supporting materials. OceanLink is an online platform that addresses scholarly discovery and collaboration in the ocean sciences. The OceanLink project leverages Semantic Web technologies, web mining, and crowdsourcing to identify links between data centers, digital repositories, and professional societies to enhance discovery, enable collaboration, and begin to assess research contribution.

Original language	English
Title of host publication	Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014
Editors	Wo Chang, Jun Huan, Nick Cercone, Saumyadipta Pyne, Vasant Honavar, Jimmy Lin, Xiaohua Tony Hu, Charu Aggarwal, Bamshad Mobasher, Jian Pei, Raghunath Nambiar
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	14-21
Number of pages	8
ISBN (Electronic)	9781479956654
DOIs	https://doi.org/10.1109/BigData.2014.7004347
Publication status	Published - 2014
Event	2nd IEEE International Conference on Big Data, IEEE Big Data 2014 - Washington, United States Duration: 27 Oct 2014 → 30 Oct 2014

Publication series

Name	Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Conference

Conference	2nd IEEE International Conference on Big Data, IEEE Big Data 2014
Country/Territory	United States
City	Washington
Period	27/10/14 → 30/10/14

Keywords

Big Data
Ontology Design Patterns
Semantic Web
ocean science

Access to Document

10.1109/BigData.2014.7004347

Cite this

Narock, T., Arko, R., Carbotte, S., Krisnadhi, A. A., Hitzler, P., Cheatham, M., Shepherd, A., Chandler, C., Raymond, L., Wiebe, P., & Finin, T. (2014). The OceanLink project. In W. Chang, J. Huan, N. Cercone, S. Pyne, V. Honavar, J. Lin, X. T. Hu, C. Aggarwal, B. Mobasher, J. Pei, & R. Nambiar (Eds.), Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014 (pp. 14-21). Article 7004347 (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2014.7004347

Narock, Tom ; Arko, Robert ; Carbotte, Suzanne et al. / The OceanLink project. Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. editor / Wo Chang ; Jun Huan ; Nick Cercone ; Saumyadipta Pyne ; Vasant Honavar ; Jimmy Lin ; Xiaohua Tony Hu ; Charu Aggarwal ; Bamshad Mobasher ; Jian Pei ; Raghunath Nambiar. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 14-21 (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014).

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title = "The OceanLink project",

abstract = "Today's scientific investigations are producing large numbers of scholarly products. These products continue to increase in diversity and complexity as researchers recognize that scholarly achievements are not only published articles but also datasets, software, and associated supporting materials. OceanLink is an online platform that addresses scholarly discovery and collaboration in the ocean sciences. The OceanLink project leverages Semantic Web technologies, web mining, and crowdsourcing to identify links between data centers, digital repositories, and professional societies to enhance discovery, enable collaboration, and begin to assess research contribution.",

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author = "Tom Narock and Robert Arko and Suzanne Carbotte and Krisnadhi, {Adila Alfa} and Pascal Hitzler and Michelle Cheatham and Adam Shepherd and Cynthia Chandler and Lisa Raymond and Peter Wiebe and Timothy Finin",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2nd IEEE International Conference on Big Data, IEEE Big Data 2014 ; Conference date: 27-10-2014 Through 30-10-2014",

year = "2014",

doi = "10.1109/BigData.2014.7004347",

language = "English",

series = "Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "14--21",

editor = "Wo Chang and Jun Huan and Nick Cercone and Saumyadipta Pyne and Vasant Honavar and Jimmy Lin and Hu, {Xiaohua Tony} and Charu Aggarwal and Bamshad Mobasher and Jian Pei and Raghunath Nambiar",

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Narock, T, Arko, R, Carbotte, S, Krisnadhi, AA, Hitzler, P, Cheatham, M, Shepherd, A, Chandler, C, Raymond, L, Wiebe, P & Finin, T 2014, The OceanLink project. in W Chang, J Huan, N Cercone, S Pyne, V Honavar, J Lin, XT Hu, C Aggarwal, B Mobasher, J Pei & R Nambiar (eds), Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014., 7004347, Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014, Institute of Electrical and Electronics Engineers Inc., pp. 14-21, 2nd IEEE International Conference on Big Data, IEEE Big Data 2014, Washington, United States, 27/10/14. https://doi.org/10.1109/BigData.2014.7004347

The OceanLink project. / Narock, Tom; Arko, Robert; Carbotte, Suzanne et al.
Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. ed. / Wo Chang; Jun Huan; Nick Cercone; Saumyadipta Pyne; Vasant Honavar; Jimmy Lin; Xiaohua Tony Hu; Charu Aggarwal; Bamshad Mobasher; Jian Pei; Raghunath Nambiar. Institute of Electrical and Electronics Engineers Inc., 2014. p. 14-21 7004347 (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014).

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

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AU - Shepherd, Adam

AU - Chandler, Cynthia

AU - Raymond, Lisa

AU - Wiebe, Peter

AU - Finin, Timothy

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AB - Today's scientific investigations are producing large numbers of scholarly products. These products continue to increase in diversity and complexity as researchers recognize that scholarly achievements are not only published articles but also datasets, software, and associated supporting materials. OceanLink is an online platform that addresses scholarly discovery and collaboration in the ocean sciences. The OceanLink project leverages Semantic Web technologies, web mining, and crowdsourcing to identify links between data centers, digital repositories, and professional societies to enhance discovery, enable collaboration, and begin to assess research contribution.

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BT - Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

A2 - Chang, Wo

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A2 - Pyne, Saumyadipta

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A2 - Lin, Jimmy

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A2 - Aggarwal, Charu

A2 - Mobasher, Bamshad

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Narock T, Arko R, Carbotte S, Krisnadhi AA, Hitzler P, Cheatham M et al. The OceanLink project. In Chang W, Huan J, Cercone N, Pyne S, Honavar V, Lin J, Hu XT, Aggarwal C, Mobasher B, Pei J, Nambiar R, editors, Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 14-21. 7004347. (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014). doi: 10.1109/BigData.2014.7004347

The OceanLink project

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Keywords

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