research-article

Towards sharing source code facts using linked data

Authors:

Iman Keivanloo,

Christopher Forbes,

Juergen Rilling,

Philippe CharlandAuthors Info & Claims

SUITE '11: Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation

Pages 25 - 28

https://doi.org/10.1145/1985429.1985436

Published: 28 May 2011 Publication History

Get Access

Abstract

Linked Data is designed to support interoperability and sharing of open datasets by allowing on the fly inter-linking of data using the basic layers of the Semantic Web and the HTTP protocol. In our research, we focus on providing a Uniform Resource Locator (URL) generation schema and a supporting ontological representation for the inter-linking of data extracted from source code ecosystems. As a result, we created the Source code ECOsystem Linked Data (SECOLD) framework that adheres to the Linked Data publication standard. The framework provides not only source code and facts that are usable by both humans and machines for browsing or querying, but it will also assist the research community at large in sharing and utilizing a standardized source code representation. The dataset has been submitted and registered to ckan.net, under the SECOLD project name, as the first source code Linked Data repository. In order to maintain its relevance to the research community, we plan to update the data set every four months.

References

[1]

Berners Lee, T. Linked Data, http://www.w3.org/DesignIssues/LinkedData.html. Last visited Jan. 2011.

Google Scholar

[2]

David, C., Kohlhase, M., Lange, C., Rabe, F., Zhiltsov, N., and Zholudev, V. Publishing Math Lecture Notes as Linked Data. Lec. Notes in Comp. Science (6089/2010), 370--375.

Digital Library

Google Scholar

[3]

Jentzsch, A., et al. 2009. Enabling tailored therapeutics with linked data. In Proc. 2nd Workshop Linked Data on the Web.

Google Scholar

[4]

Keivanloo, I., Roostapour, L., Schugerl, P., Rilling, J. 2010. Semantic web-based source code search. In Proc. 6th Intl. Workshop on Semantic Web Enabled Software Engineering.

Google Scholar

[5]

Kiefer, C., Bernstein, A., and Tappolet, J. 2007. Analyzing software with iSPARQL. In Proc. of the 3rd Intl. Workshop on Semantic Web Enabled Software Engineering.

Google Scholar

[6]

Lopes, C., Bajracharya, S., Ossher, J., Baldi, P. 2010. UCI Source Code Data Sets. http://www.ics.uci.edu/~lopes/datasets. Irvine, University of California.

Google Scholar

[7]

Ossher, J., Bajracharya, S., Linstead, E., Baldi, P., Lopes, C. 2009. SourcererDB : An Aggregated Repository of Statically Analyzed and Cross-Linked Open Source Java Projects. In Proc. Working Conf. on Mining Software Repositories.

Digital Library

Google Scholar

[8]

Thummalapenta, S., and Xie, T. 2007. Parseweb: a programmer assistant for reusing open source code on the web. In Proc. of 22th Intl. Conf. on Automated Soft. Eng.

Digital Library

Google Scholar

[9]

Tichelaar, S., Ducasse, D., and Demeyer, S. 2000. FAMIX and XMI. In Proc. Working Conf. Reverse Eng. DC, USA.

Digital Library

Google Scholar

[10]

Keivanloo, I., Forbes, C., Rilling, J. Source Code Ecosystem Linked Data (SECOLD), http://aseg.cs.concordia.ca/secold.

Google Scholar

[11]

Würsch, M., Reif, G., Demeyer, S., and Gall, H. C. 2010. Fostering synergies: how semantic web technology could influence software repositories. In Proc. on Search-driven Dev: Users, Infrastructure, Tools and Eval. (SUITE '10).

Digital Library

Google Scholar

Cited By

View all

Ahmad Khan AMalik S(2020)Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic SearchMehran University Research Journal of Engineering and Technology10.22581/muet1982.2003.1439:3(595-602)Online publication date: 1-Jul-2020
https://doi.org/10.22581/muet1982.2003.14
Eghan EAlqahtani SForbes CRilling J(2019)API trustworthiness: an ontological approach for software library adoptionSoftware Quality Journal10.1007/s11219-018-9428-4Online publication date: 4-Feb-2019
https://doi.org/10.1007/s11219-018-9428-4
Mosharraf MTaghiyareh F(2018)Moodle meets linked data: Publishing moodle on the web of data using semantic links2018 4th International Conference on Web Research (ICWR)10.1109/ICWR.2018.8387230(6-11)Online publication date: Apr-2018
https://doi.org/10.1109/ICWR.2018.8387230
Show More Cited By

Index Terms

Towards sharing source code facts using linked data

Recommendations

Using the relation ontology Metarel for modelling Linked Data as multi-digraphs
Linked Data for Health Care and the Life Sciences

The Semantic Web standards OWL and RDF are often used to represent biomedical information as Linked Data; however, the OWL/RDF syntax, which combines both, was never optimised for querying. By combining two formal paradigms for modelling Linked Data, ...
Learning the semantics of structured data sources

Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data that can be leveraged to build and augment knowledge graphs. However, they rarely provide a semantic model to describe ...
A domain independent framework for extracting linked semantic data from tables
Search Computing

Vast amounts of information is encoded in tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning and making it explicit in a semantic ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SUITE '11: Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation

May 2011

52 pages

ISBN:9781450305976

DOI:10.1145/1985429

Program Chairs:
Sushil Bajracharya
Black Duck Software, USA
,
Adrian Kuhn
University of Bern, Switzerland
,
Yunen Ye
Software Research Associates, Inc., Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 May 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

ICSE11

Sponsor:

SIGSOFT

ICSE11: International Conference on Software Engineering

May 28, 2011

HI, Waikiki, Honolulu, USA

Upcoming Conference

ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

20
Total Citations
View Citations
448
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ahmad Khan AMalik S(2020)Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic SearchMehran University Research Journal of Engineering and Technology10.22581/muet1982.2003.1439:3(595-602)Online publication date: 1-Jul-2020
https://doi.org/10.22581/muet1982.2003.14
Eghan EAlqahtani SForbes CRilling J(2019)API trustworthiness: an ontological approach for software library adoptionSoftware Quality Journal10.1007/s11219-018-9428-4Online publication date: 4-Feb-2019
https://doi.org/10.1007/s11219-018-9428-4
Mosharraf MTaghiyareh F(2018)Moodle meets linked data: Publishing moodle on the web of data using semantic links2018 4th International Conference on Web Research (ICWR)10.1109/ICWR.2018.8387230(6-11)Online publication date: Apr-2018
https://doi.org/10.1109/ICWR.2018.8387230
Meimaris MPapastefanatos GViglas SStavrakas YPateritsas CAnagnostopoulos I(2016)A query language for multi-version data web archivesExpert Systems10.1111/exsy.1215733:4(383-404)Online publication date: 8-Jul-2016
https://doi.org/10.1111/exsy.12157
Parreiras FGröner GSchwabe DSilva F(2015)Towards a Marketplace of Open Source Software DataProceedings of the 2015 48th Hawaii International Conference on System Sciences10.1109/HICSS.2015.439(3651-3660)Online publication date: 5-Jan-2015
https://dl.acm.org/doi/10.1109/HICSS.2015.439
Ouhbi SIdri AAlemán JToval A(2014)Evaluating Software Product QualityProceedings of the 2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement10.1109/IWSM.Mensura.2014.30(141-151)Online publication date: 6-Oct-2014
https://dl.acm.org/doi/10.1109/IWSM.Mensura.2014.30
Keivanloo IRilling JHarrison R(2012)Clone detection meets semantic web-based transitive closure computationProceedings of the First International Workshop on Realizing AI Synergies in Software Engineering10.5555/2666527.2666530(12-16)Online publication date: 5-Jun-2012
https://dl.acm.org/doi/10.5555/2666527.2666530
Keivanloo IForbes CHmood AErfani MNeal CPeristerakis GRilling JLanza MDi Penta MXie T(2012)A linked data platform for mining software repositoriesProceedings of the 9th IEEE Working Conference on Mining Software Repositories10.5555/2664446.2664451(32-35)Online publication date: 2-Jun-2012
https://dl.acm.org/doi/10.5555/2664446.2664451
Keivanloo IGlinz MMurphy GPezzè M(2012)Online sharing and integration of results from mining software repositoriesProceedings of the 34th International Conference on Software Engineering10.5555/2337223.2337510(1644-1646)Online publication date: 2-Jun-2012
https://dl.acm.org/doi/10.5555/2337223.2337510
Forbes CKeivanloo IRilling JGlinz MMurphy GPezzè M(2012)When open source turns cold on innovation - the challenges of navigating licensing complexities in new research domainsProceedings of the 34th International Conference on Software Engineering10.5555/2337223.2337445(1447-1448)Online publication date: 2-Jun-2012
https://dl.acm.org/doi/10.5555/2337223.2337445
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Using the relation ontology Metarel for modelling Linked Data as multi-digraphs

Learning the semantics of structured data sources

A domain independent framework for extracting linked semantic data from tables

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations