A provenance assisted roadmap for life sciences linked open data cloud

Ali Hasnain; Qaiser Mehmood; Syeda Sana e Zainab; Stefan Decker

doi:10.1007/978-3-319-24543-0_6

A provenance assisted roadmap for life sciences linked open data cloud

Ali Hasnain
, Qaiser Mehmood
, Syeda Sana e Zainab
, Stefan Decker

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

4 Citations (Scopus)

Abstract

A significant portion of Web of Data is composed of multiple datasets that add high value to biomedical research. These datasets have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. Different initiatives have been proposed for navigating through these datasets with or without vocabulary reuse. The significance of provenance information regarding life sciences data is great as compared to any other domain. With the provenance information, user becomes aware regarding the source, size, format along with authorization and privilege associated with the data. Previously, we proposed an approach for the creation of an active Linked Life Sciences Data Roadmap, that catalogues and links concepts as well as properties from 137 public SPARQL endpoints. In this work we extend the Roadmap with the provenance information collected directly by querying datasets. We designed a set of queries and the results were catalouged. This extended Roadmap is useful for dynamically assembling queries for retrieving data along with the provenance from multiple SPARQL endpoints. We also demonstrate its use in conjunction with other tools for selective SPARQL querying and the visualization of the LSLOD cloud. We have evaluated the performance of our approach in terms of time taken and success rates of data retrieved.

Original language	English
Title of host publication	Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Proceedings
Editors	Pavel Klinov, Dmitry Mouromtsev
Publisher	Springer-Verlag
Pages	72-86
Number of pages	15
ISBN (Print)	9783319245423
DOIs	https://doi.org/10.1007/978-3-319-24543-0_6
Publication status	Published - 2015
Externally published	Yes
Event	6th International Conference on Knowledge Engineering and Semantic Web, KESW 2015 - Moscow, Russian Federation Duration: 30 Sep 2015 → 2 Oct 2015

Publication series

Name	Communications in Computer and Information Science
Volume	518
ISSN (Print)	1865-0929

Conference

Conference	6th International Conference on Knowledge Engineering and Semantic Web, KESW 2015
Country/Territory	Russian Federation
City	Moscow
Period	30/09/15 → 2/10/15

Keywords

Life Sciences (LS)
Linked Data (LD)
Provenance
Query federation
SPARQL
Semantic web

Access to Document

10.1007/978-3-319-24543-0_6

Cite this

Hasnain, A., Mehmood, Q., Sana e Zainab, S., & Decker, S. (2015). A provenance assisted roadmap for life sciences linked open data cloud. In P. Klinov, & D. Mouromtsev (Eds.), Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Proceedings (pp. 72-86). (Communications in Computer and Information Science; Vol. 518). Springer-Verlag. https://doi.org/10.1007/978-3-319-24543-0_6

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title = "A provenance assisted roadmap for life sciences linked open data cloud",

abstract = "A significant portion of Web of Data is composed of multiple datasets that add high value to biomedical research. These datasets have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. Different initiatives have been proposed for navigating through these datasets with or without vocabulary reuse. The significance of provenance information regarding life sciences data is great as compared to any other domain. With the provenance information, user becomes aware regarding the source, size, format along with authorization and privilege associated with the data. Previously, we proposed an approach for the creation of an active Linked Life Sciences Data Roadmap, that catalogues and links concepts as well as properties from 137 public SPARQL endpoints. In this work we extend the Roadmap with the provenance information collected directly by querying datasets. We designed a set of queries and the results were catalouged. This extended Roadmap is useful for dynamically assembling queries for retrieving data along with the provenance from multiple SPARQL endpoints. We also demonstrate its use in conjunction with other tools for selective SPARQL querying and the visualization of the LSLOD cloud. We have evaluated the performance of our approach in terms of time taken and success rates of data retrieved.",

keywords = "Life Sciences (LS), Linked Data (LD), Provenance, Query federation, SPARQL, Semantic web",

author = "Ali Hasnain and Qaiser Mehmood and \{Sana e Zainab\}, Syeda and Stefan Decker",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th International Conference on Knowledge Engineering and Semantic Web, KESW 2015 ; Conference date: 30-09-2015 Through 02-10-2015",

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doi = "10.1007/978-3-319-24543-0\_6",

language = "English",

isbn = "9783319245423",

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Hasnain, A, Mehmood, Q, Sana e Zainab, S & Decker, S 2015, A provenance assisted roadmap for life sciences linked open data cloud. in P Klinov & D Mouromtsev (eds), Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Proceedings. Communications in Computer and Information Science, vol. 518, Springer-Verlag, pp. 72-86, 6th International Conference on Knowledge Engineering and Semantic Web, KESW 2015, Moscow, Russian Federation, 30/09/15. https://doi.org/10.1007/978-3-319-24543-0_6

A provenance assisted roadmap for life sciences linked open data cloud. / Hasnain, Ali; Mehmood, Qaiser; Sana e Zainab, Syeda et al.
Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Proceedings. ed. / Pavel Klinov; Dmitry Mouromtsev. Springer-Verlag, 2015. p. 72-86 (Communications in Computer and Information Science; Vol. 518).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - A provenance assisted roadmap for life sciences linked open data cloud

AU - Hasnain, Ali

AU - Mehmood, Qaiser

AU - Sana e Zainab, Syeda

AU - Decker, Stefan

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - A significant portion of Web of Data is composed of multiple datasets that add high value to biomedical research. These datasets have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. Different initiatives have been proposed for navigating through these datasets with or without vocabulary reuse. The significance of provenance information regarding life sciences data is great as compared to any other domain. With the provenance information, user becomes aware regarding the source, size, format along with authorization and privilege associated with the data. Previously, we proposed an approach for the creation of an active Linked Life Sciences Data Roadmap, that catalogues and links concepts as well as properties from 137 public SPARQL endpoints. In this work we extend the Roadmap with the provenance information collected directly by querying datasets. We designed a set of queries and the results were catalouged. This extended Roadmap is useful for dynamically assembling queries for retrieving data along with the provenance from multiple SPARQL endpoints. We also demonstrate its use in conjunction with other tools for selective SPARQL querying and the visualization of the LSLOD cloud. We have evaluated the performance of our approach in terms of time taken and success rates of data retrieved.

AB - A significant portion of Web of Data is composed of multiple datasets that add high value to biomedical research. These datasets have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. Different initiatives have been proposed for navigating through these datasets with or without vocabulary reuse. The significance of provenance information regarding life sciences data is great as compared to any other domain. With the provenance information, user becomes aware regarding the source, size, format along with authorization and privilege associated with the data. Previously, we proposed an approach for the creation of an active Linked Life Sciences Data Roadmap, that catalogues and links concepts as well as properties from 137 public SPARQL endpoints. In this work we extend the Roadmap with the provenance information collected directly by querying datasets. We designed a set of queries and the results were catalouged. This extended Roadmap is useful for dynamically assembling queries for retrieving data along with the provenance from multiple SPARQL endpoints. We also demonstrate its use in conjunction with other tools for selective SPARQL querying and the visualization of the LSLOD cloud. We have evaluated the performance of our approach in terms of time taken and success rates of data retrieved.

KW - Life Sciences (LS)

KW - Linked Data (LD)

KW - Provenance

KW - Query federation

KW - SPARQL

KW - Semantic web

UR - https://www.scopus.com/pages/publications/84951868896

U2 - 10.1007/978-3-319-24543-0_6

DO - 10.1007/978-3-319-24543-0_6

M3 - Conference Publication

SN - 9783319245423

T3 - Communications in Computer and Information Science

SP - 72

EP - 86

BT - Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Proceedings

A2 - Klinov, Pavel

A2 - Mouromtsev, Dmitry

PB - Springer-Verlag

T2 - 6th International Conference on Knowledge Engineering and Semantic Web, KESW 2015

Y2 - 30 September 2015 through 2 October 2015

ER -

Hasnain A, Mehmood Q, Sana e Zainab S, Decker S. A provenance assisted roadmap for life sciences linked open data cloud. In Klinov P, Mouromtsev D, editors, Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Proceedings. Springer-Verlag. 2015. p. 72-86. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-24543-0_6

A provenance assisted roadmap for life sciences linked open data cloud

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Keywords

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