2017
Journal article
Open Access
White paper on research data service discoverability
Thanos C., Klan F., Kriticos K., Candela L.
Research Data Service (RDS) Research Data Service-Level Agreement (SLA) Computer Science Applications RDS Metadata Library and Information Sciences Media Technology Business and International Management RDS Publication RDS Catalogue Communication
This White Paper reports the outcome of a Workshop on "Research Data Service Discoverability" held in the island of Santorini (GR) on 21-22 April 2016 and organized in the context of the EU funded Project "RDA-E3". The Workshop addressed the main technical problems that hamper an efficient and effective discovery of Research Data Services (RDSs) based on appropriate semantic descriptions of their functional and non-functional aspects. In the context of this White Paper, by RDSs are meant those data services that manipulate/transform research datasets for the purpose of gaining insight into complicated issues. In this White Paper, the main concepts involved in the discovery process of RDSs are defined; the RDS discovery process is illustrated; the main technologies that enable the discovery of RDSs are described; and a number of recommendations are formulated for indicating future research directions and making an automatic RDS discovery feasible.
Source: Publications 5 (2017). doi:10.3390/publications5010001
Publisher: MDPI AG, Basel, Switzerland
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5. Parkinson, C.L.; Ward, A.; King, M.D. (Eds.) Earth Science Reference Handbook-A Guide to NASA's Earth Science Program and Earth Observing Satellite Missions; National Aeronautics and Space Administration: Washington, DC, USA, 2006.
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10. Assante, M.; Candela, L.; Castelli, D.; Tani, A. Data Science Journal. Are Scientific Data Repositories Coping with Research Data Publishing? Data Sci. J. 2016, 1-24. [CrossRef]
11. Lutz, M. Ontology-Based Descriptions for Semantic Discovery and Composition of Geoprocessing Services. Geoinformatica 2007, 11, 1-36. [CrossRef]
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14. Lausen, H.; Polleres, A.; Roman, D. (Eds.) Web Service Modeling Ontology (WSMO). 2005. Available online: http://www.w3.org/Submission/WSMO (accessed on 30 August 2016).
15. De Bruijn, J.; Lausen, H. (Eds.) Web Service Modeling Language (WSML). 2005. Available online: http://www. w3.org/Submission/WSML (accessed on 30 August 2016).
16. Fensel, D.; Fischer, F.; Jacek Kopecký, J.; Krummenacher, R.; Lambert, D.; Vitvar, T. WSMO-Lite: Lightweight Semantic Descriptions for Services on the Web. 2010. Available online: http://www.w3.org/Submission/ WSMO-Lite (accessed on 30 August 2016).
17. Cyganiak, R.; Wood, D.; Lanthaler, M. (Eds.) RDF 1.1 Concepts and Abstract Syntax. 2014. Available online: http://www.w3.org/TR/rdf11-concepts (accessed on 30 August 2016).
18. Farrell, J.; Lausen, H. Semantic Annotations for WSDL and XML Schema. 2007. Available online: http://www. w3.org/TR/sawsdl (accessed on 30 August 2016).
19. Christensen, E.; Curbera, F.; Meredith, G.; Weerawarana, S. Web Services Description Language (WSDL) 1.1. 2001. Available online: http://www.w3.org/TR/wsdl (accessed on 30 August 2016).
20. Kopecký, J.; Gomadam, K.; Vitvar, T. hRESTS: An HTML Microformat for Describing RESTful Web Services. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Sydney, Australia, 9-12 December 2008; pp. 619-625.
21. Gomadam, K.; Ranabahu, A.; Sheth, A. SA-REST: Semantic Annotation of Web Resources 2010. Available online: www.w3.org/Submission/SA-REST (accessed on 30 August 2016).
22. Kopecký, J.; Vitvar, T. D38v0.1 MicroWSMO. 2008. Available online: www.wsmo.org/TR/d38/v0.1 (accessed on 30 August 2016).
23. Stavrakantonakis, I.; Fensel, A.; Fensel, D. Matching Web Entities with Potential Actions. In Proceedings of the Poster and Demo Paper track International Conference on Semantic Systems (I-SEMANTICS 14), CEUR-WS, Leipzig, Germany, 4-5 September 2014; pp. 35-38.
24. Prud'hommeaux, E.; Seaborne, A. (Eds.) SPARQL Query Language for RDF. 2008. Available online: www.w3.org/TR/rdf-sparql-query (accessed on 30 August 2016).
25. Klusch, M.; Nesbigall, S.; Zinnikus, I. Model-Driven Semantic Service Matchmaking for Collaborative Business Processes. In Proceedings of the 2nd International Workshop on Semantic Matchmaking and Resource Retrieval, CEUR-WS, Karlsruhe, Germany, 27 October 2008; Volume 416.
26. Klusch, M.; Kapahnke, P.; Schulte, S.; Lecue, F.; Bernstein, A. Semantic Web Service Search: A Brief Survey. Künstliche Intelligenz; Springer: Berlin, Germany, 2016; Volume 30, pp. 139-147.
27. Ngan, L.D.; Kanagasabai, R. Semantic Web service discovery: State-of-the-art and research challenges. Pers. Ubiquitous Comput. 2013, 17, 1741-1752. [CrossRef]
28. Klusch, M. Semantic Web Service Description. CASCOM: Intelligent Service Coordination in the Semantic Web; Birkhäuser: Basel, Switzerland, 2008; pp. 31-57.
29. Klusch, M.; Kapahnke, P. The iSeM matchmaker: A flexible approach for adaptive hybrid semantic service selection. J. Web Semant. 2012, 15, 1-14. [CrossRef]
30. Masuch, N.; Hirsch, B.; Burkhardt, M.; Heler, A.; Albayrak, S. SeMa2: A Hybrid Semantic Service Matching Approach. Semantic Web Services; Springer: Berlin, Germany, 2012.
31. Junghans, M.; Agarwal, S.; Studer, R. Towards practical semantic web service discovery. In Proceedings of the 9th International Semantic Web Conference, Shanghai, China, 7-11 November 2010; Springer: Berlin, Germany, 2010.
32. Klusch, M. Semantic Web Service Coordination. In CASCOM: Intelligent Service Coordination in the Semantic Web; Birkhäuser: Basel, Switzerland, 2008; pp. 59-104.
33. Küster, U.; König-Ries, B.; Klein, M.; Stern, M. DIANE-An Integrated Approach to Automated Service Discovery, Matchmaking and Composition. In Proceedings of the 16th International World Wide Web Conference, Banff, AB, Canada, 8-12 May 2007.
34. Klusch, M. Overview of the S3 Contest: Performance Evaluation of Semantic Service Matchmakers. In Semantic Web Services; Springer: Berlin, Germany, 2012; pp. 17-34.
35. Klan, F.; König-Ries, B. A Conversational Approach to Semantic Web Service Selection. In Proceedings of the 12th International Conference on Electronic Commerce and Web Technologies, Toulouse, France, 30 August-1 September 2011.
36. Colucci, S.; Di Noia, T.; Di Sciascio, E.; Donini, F.M.; Ragone, A.; Rizzi, R. A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces. In Proceedings of the 8th International Conference on Electronic Commerce, Fredericton, NB, Canada, 13-16 August 2006; pp. 174-184.
37. Payne, W.; Bettman, J.R.; Johnson, E.J. Behavioral decision research-A constructive processing perspective. Annu. Rev. Psychol. 1992, 43, 87-131. [CrossRef]
38. Küster, U.; König-Ries, B.; Margaria, T.; Steffen, B. Comparison: Handling Preferences with DIANE and miAamics. In Semantic Web Service Challenge-Results from the First Year; Springer: Berlin, Germany, 2008.
39. García, M.; Ruiz, D.; Ruiz-Cortés, A. A Model of User Preferences for Semantic Services Discovery and Ranking. In Proceedings of the 7th International Conference on the Semantic Web: Research and Applications-Volume Part II, Heraklion, Greece, 30 May-2 June 2010; Springer: Berlin, Germany, 2010; pp. 1-14.
40. Balke, W.-T.; Wagner, M. Towards personalized selection of web services. In Proceedings of the Twelfth International World Wide Web Conference, Budapest, Hungary, 20-24 May 2003.
41. Sivashanmugam, K.; Sheth, A.; Miller, J.; Verma, K.; Aggarwal, R.; Rajasekaran, P. Metadata and Semantics for Web Services and Processes. In Datenbanken und Informationssysteme, Festscrift zum 60; von Gunter Schlageter, G., Ed.; Praktische Informatik I: Hagen, Germany, 2003.
42. Thanos, C. Mediation: The Technological Foundation of Modern Science. Data Sci. J. 2014, 13, 88-105. [CrossRef]
43. Nativi, S.; Mazzetti, P.; Santoro, M.; Papeschi, F.; Craglia, M.; Ochiai, O. Big Data challenges in building the Global Earth Observation System of Systems. Environ. Model. Soft. 2015, 68, 1-26. [CrossRef]
44. Khalsa, S.J.; Pearlman, J.; Nativi, S.; Pearlman, F.; Parsons, M.; Browdy, S.; Duerr, R. Brokering for EarthCube Communities: A Road Map, Earth Cube Document. 2013. Available online: http://earthcube.org/ document/2012/brokering-earthcube-communities-road-map (accessed on 31 August 2012).
45. ICSU World Data System. “Trusted Data Services for Global Science”. Available online: https://www.icsuwds.org/organization/intro-to-wds (accessed on 12 December 2016).
46. Gruber, T. Towards Principles for the Design of Ontologies Used for Knowledge Sharing. Int. J. Hum.-Comput. Stud. 1995, 43, 907-928. [CrossRef]
47. Poggi, A.; Lembo, D.; Calvanese, D.; De Giacomo, G.; Lenzerini, M.; Rosati, R. Linking Data to Ontologies. In Journal on Data Semantics X; Springer: Berlin, Germany, 2008.
48. Kritikos, K.; Plexousakis, D. Mixed-Integer Programming for QoS-Based Web Service Matchmaking. IEEE Trans. Serv. Comput. 2009, 2, 122-139. [CrossRef]
49. Kritikos, K.; Plexousakis, D. Novel Optimal and Scalable Nonfunctional Service Matchmaking Techniques. IEEE Trans. Serv. Comput. 2014, 7, 614-627. [CrossRef]
50. Klusch, M.; Fries, B.; Sycara, K. Automated semantic web service discovery with OWLS-MX. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, 8-12 May 2006; pp. 915-922.
51. Garofalakis, J.; Panagis, Y.; Sakkopoulos, E.; Tsakalidis, A. Contemporary Web Service Discovery Mechanisms. J. Web Eng. 2006, 5, 265-290.
52. Bhagat, J.; Tanoh, F.; Nzuobontane, E.; Laurent, T.; Orlowski, J.; Roos, M.; Wolstencroft, K.; Aleksejevs, S.; Stevens, R.; Pettifer, S.; et al. BioCatalogue: A universal catalogue of web services for the life sciences. Nucleic Acids Res. 2010, 38, W689-W694. [CrossRef] [PubMed]
53. Goble, C.A.; Bhagat, J.; Aleksejevs, S.; Cruickshank, D.; Michaelides, D.; Newman, D.; Borkum, M.; Bechhofer, S.; Roos, M.; Li, P.; et al. myExperiment: A repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Res. 2010, 38, W677-W682. [CrossRef] [PubMed]
54. Belhajjame, K.; Wolstencroft, K.; Corcho, O.; Oinn, T.; Tanoh, F.; William, A.; Goble, C. Metadata Management in the Taverna Workflow System. In Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'08), Lyon, France, 19-22 May 2008; pp. 651-656.
55. Altintas, I.; Berkley, C.; Jaeger, E.; Jones, M.; Ludäscher, B.; Mock, S. Kepler: An extensible system for design and execution of scientific workflows. In Proceedings of the 16th International Conference on Scientific and Statistical Database Management, Santorini Island, Greece, 21-23 June 2004; pp. 423-424.
56. McPhillips, T.; Song, T.; Kolisnik, T.; Aulenbach, S.; Belhajjame, K.; Bocinsky, R.K.; Cao, Y.; Cheney, J.; Chirigati, F.; Dey, S.; et al. YesWorkflow: A User- Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts. Int. J. Digit. Curation 2015, 10, 298-313. [CrossRef]
57. Mitra, N.; Lafon, Y. SOAP Version 1.2 Part 0: Primer (Second Edition). 2007. Available online: http://www. w3.org/TR/soap12-part0 (accessed on 30 August 2016).
58. Petrie, C.; Margaria, T.; Lausen, H.; Zaremba, M. (Eds.) Semantic Web Services Challenge: Results from the First Year; Springer: Boston, MA, USA, 2009.
2. National Research Council. Bits of Power: Issues in Global Access to Scientific Data; National Academy Press: Washington, DC, USA, 1997.
3. Committee for a Study on Promoting Access to Scientific and Technical Data for the Public Interest; Commission on Physical Sciences, Mathematics, and Applications; Division on Engineering and Physical Sciences; National Research Council. A Question of Balance: Private Rights and the Public Interest in Scientific and Technical Databases; National Academy Press: Washington, DC, USA, 1999.
4. National Science Board. Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century; National Science Foundation: Washington, DC, USA, 2005.
5. Parkinson, C.L.; Ward, A.; King, M.D. (Eds.) Earth Science Reference Handbook-A Guide to NASA's Earth Science Program and Earth Observing Satellite Missions; National Aeronautics and Space Administration: Washington, DC, USA, 2006.
6. Paskin, N. Digital Object Identifier for Scientific Data. In Proceedings of the 19th International CODATA Conference, Berlin, Germany, 7-10 November 2004.
7. Marr, D. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information; MIT Press: Cambridge MA, USA, 1982.
8. Carey, M.J.; Onose, N.; Petropoulos, M. Data Services. Commun. ACM 2012, 55, 86-97. [CrossRef]
9. Hettrick, S. Research Software Sustainability; Report on a Knowledge Exchange Workshop; KE: Berlin, Germany, 3 March 2016.
10. Assante, M.; Candela, L.; Castelli, D.; Tani, A. Data Science Journal. Are Scientific Data Repositories Coping with Research Data Publishing? Data Sci. J. 2016, 1-24. [CrossRef]
11. Lutz, M. Ontology-Based Descriptions for Semantic Discovery and Composition of Geoprocessing Services. Geoinformatica 2007, 11, 1-36. [CrossRef]
12. Martin, D.; Burstein, M.; Hobbs, J.; Lassila, O.; McDermott, D.; McIlraith, S.; Narayanan, S.; Paolucci, M.; Parsia, B.; Payne, T.; et al. OWL-S: Semantic Markup for Web Services. 2004. Available online: http://www. w3.org/Submission/OWL-S (accessed on 30 August 2016).
13. McGuinness, D.L.; Harmelen, F.V. OWL Web Ontology Language Overview. 2004. Available online: http://www.w3.org/TR/owl-features (accessed on 30 August 2016).
14. Lausen, H.; Polleres, A.; Roman, D. (Eds.) Web Service Modeling Ontology (WSMO). 2005. Available online: http://www.w3.org/Submission/WSMO (accessed on 30 August 2016).
15. De Bruijn, J.; Lausen, H. (Eds.) Web Service Modeling Language (WSML). 2005. Available online: http://www. w3.org/Submission/WSML (accessed on 30 August 2016).
16. Fensel, D.; Fischer, F.; Jacek Kopecký, J.; Krummenacher, R.; Lambert, D.; Vitvar, T. WSMO-Lite: Lightweight Semantic Descriptions for Services on the Web. 2010. Available online: http://www.w3.org/Submission/ WSMO-Lite (accessed on 30 August 2016).
17. Cyganiak, R.; Wood, D.; Lanthaler, M. (Eds.) RDF 1.1 Concepts and Abstract Syntax. 2014. Available online: http://www.w3.org/TR/rdf11-concepts (accessed on 30 August 2016).
18. Farrell, J.; Lausen, H. Semantic Annotations for WSDL and XML Schema. 2007. Available online: http://www. w3.org/TR/sawsdl (accessed on 30 August 2016).
19. Christensen, E.; Curbera, F.; Meredith, G.; Weerawarana, S. Web Services Description Language (WSDL) 1.1. 2001. Available online: http://www.w3.org/TR/wsdl (accessed on 30 August 2016).
20. Kopecký, J.; Gomadam, K.; Vitvar, T. hRESTS: An HTML Microformat for Describing RESTful Web Services. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Sydney, Australia, 9-12 December 2008; pp. 619-625.
21. Gomadam, K.; Ranabahu, A.; Sheth, A. SA-REST: Semantic Annotation of Web Resources 2010. Available online: www.w3.org/Submission/SA-REST (accessed on 30 August 2016).
22. Kopecký, J.; Vitvar, T. D38v0.1 MicroWSMO. 2008. Available online: www.wsmo.org/TR/d38/v0.1 (accessed on 30 August 2016).
23. Stavrakantonakis, I.; Fensel, A.; Fensel, D. Matching Web Entities with Potential Actions. In Proceedings of the Poster and Demo Paper track International Conference on Semantic Systems (I-SEMANTICS 14), CEUR-WS, Leipzig, Germany, 4-5 September 2014; pp. 35-38.
24. Prud'hommeaux, E.; Seaborne, A. (Eds.) SPARQL Query Language for RDF. 2008. Available online: www.w3.org/TR/rdf-sparql-query (accessed on 30 August 2016).
25. Klusch, M.; Nesbigall, S.; Zinnikus, I. Model-Driven Semantic Service Matchmaking for Collaborative Business Processes. In Proceedings of the 2nd International Workshop on Semantic Matchmaking and Resource Retrieval, CEUR-WS, Karlsruhe, Germany, 27 October 2008; Volume 416.
26. Klusch, M.; Kapahnke, P.; Schulte, S.; Lecue, F.; Bernstein, A. Semantic Web Service Search: A Brief Survey. Künstliche Intelligenz; Springer: Berlin, Germany, 2016; Volume 30, pp. 139-147.
27. Ngan, L.D.; Kanagasabai, R. Semantic Web service discovery: State-of-the-art and research challenges. Pers. Ubiquitous Comput. 2013, 17, 1741-1752. [CrossRef]
28. Klusch, M. Semantic Web Service Description. CASCOM: Intelligent Service Coordination in the Semantic Web; Birkhäuser: Basel, Switzerland, 2008; pp. 31-57.
29. Klusch, M.; Kapahnke, P. The iSeM matchmaker: A flexible approach for adaptive hybrid semantic service selection. J. Web Semant. 2012, 15, 1-14. [CrossRef]
30. Masuch, N.; Hirsch, B.; Burkhardt, M.; Heler, A.; Albayrak, S. SeMa2: A Hybrid Semantic Service Matching Approach. Semantic Web Services; Springer: Berlin, Germany, 2012.
31. Junghans, M.; Agarwal, S.; Studer, R. Towards practical semantic web service discovery. In Proceedings of the 9th International Semantic Web Conference, Shanghai, China, 7-11 November 2010; Springer: Berlin, Germany, 2010.
32. Klusch, M. Semantic Web Service Coordination. In CASCOM: Intelligent Service Coordination in the Semantic Web; Birkhäuser: Basel, Switzerland, 2008; pp. 59-104.
33. Küster, U.; König-Ries, B.; Klein, M.; Stern, M. DIANE-An Integrated Approach to Automated Service Discovery, Matchmaking and Composition. In Proceedings of the 16th International World Wide Web Conference, Banff, AB, Canada, 8-12 May 2007.
34. Klusch, M. Overview of the S3 Contest: Performance Evaluation of Semantic Service Matchmakers. In Semantic Web Services; Springer: Berlin, Germany, 2012; pp. 17-34.
35. Klan, F.; König-Ries, B. A Conversational Approach to Semantic Web Service Selection. In Proceedings of the 12th International Conference on Electronic Commerce and Web Technologies, Toulouse, France, 30 August-1 September 2011.
36. Colucci, S.; Di Noia, T.; Di Sciascio, E.; Donini, F.M.; Ragone, A.; Rizzi, R. A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces. In Proceedings of the 8th International Conference on Electronic Commerce, Fredericton, NB, Canada, 13-16 August 2006; pp. 174-184.
37. Payne, W.; Bettman, J.R.; Johnson, E.J. Behavioral decision research-A constructive processing perspective. Annu. Rev. Psychol. 1992, 43, 87-131. [CrossRef]
38. Küster, U.; König-Ries, B.; Margaria, T.; Steffen, B. Comparison: Handling Preferences with DIANE and miAamics. In Semantic Web Service Challenge-Results from the First Year; Springer: Berlin, Germany, 2008.
39. García, M.; Ruiz, D.; Ruiz-Cortés, A. A Model of User Preferences for Semantic Services Discovery and Ranking. In Proceedings of the 7th International Conference on the Semantic Web: Research and Applications-Volume Part II, Heraklion, Greece, 30 May-2 June 2010; Springer: Berlin, Germany, 2010; pp. 1-14.
40. Balke, W.-T.; Wagner, M. Towards personalized selection of web services. In Proceedings of the Twelfth International World Wide Web Conference, Budapest, Hungary, 20-24 May 2003.
41. Sivashanmugam, K.; Sheth, A.; Miller, J.; Verma, K.; Aggarwal, R.; Rajasekaran, P. Metadata and Semantics for Web Services and Processes. In Datenbanken und Informationssysteme, Festscrift zum 60; von Gunter Schlageter, G., Ed.; Praktische Informatik I: Hagen, Germany, 2003.
42. Thanos, C. Mediation: The Technological Foundation of Modern Science. Data Sci. J. 2014, 13, 88-105. [CrossRef]
43. Nativi, S.; Mazzetti, P.; Santoro, M.; Papeschi, F.; Craglia, M.; Ochiai, O. Big Data challenges in building the Global Earth Observation System of Systems. Environ. Model. Soft. 2015, 68, 1-26. [CrossRef]
44. Khalsa, S.J.; Pearlman, J.; Nativi, S.; Pearlman, F.; Parsons, M.; Browdy, S.; Duerr, R. Brokering for EarthCube Communities: A Road Map, Earth Cube Document. 2013. Available online: http://earthcube.org/ document/2012/brokering-earthcube-communities-road-map (accessed on 31 August 2012).
45. ICSU World Data System. “Trusted Data Services for Global Science”. Available online: https://www.icsuwds.org/organization/intro-to-wds (accessed on 12 December 2016).
46. Gruber, T. Towards Principles for the Design of Ontologies Used for Knowledge Sharing. Int. J. Hum.-Comput. Stud. 1995, 43, 907-928. [CrossRef]
47. Poggi, A.; Lembo, D.; Calvanese, D.; De Giacomo, G.; Lenzerini, M.; Rosati, R. Linking Data to Ontologies. In Journal on Data Semantics X; Springer: Berlin, Germany, 2008.
48. Kritikos, K.; Plexousakis, D. Mixed-Integer Programming for QoS-Based Web Service Matchmaking. IEEE Trans. Serv. Comput. 2009, 2, 122-139. [CrossRef]
49. Kritikos, K.; Plexousakis, D. Novel Optimal and Scalable Nonfunctional Service Matchmaking Techniques. IEEE Trans. Serv. Comput. 2014, 7, 614-627. [CrossRef]
50. Klusch, M.; Fries, B.; Sycara, K. Automated semantic web service discovery with OWLS-MX. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, 8-12 May 2006; pp. 915-922.
51. Garofalakis, J.; Panagis, Y.; Sakkopoulos, E.; Tsakalidis, A. Contemporary Web Service Discovery Mechanisms. J. Web Eng. 2006, 5, 265-290.
52. Bhagat, J.; Tanoh, F.; Nzuobontane, E.; Laurent, T.; Orlowski, J.; Roos, M.; Wolstencroft, K.; Aleksejevs, S.; Stevens, R.; Pettifer, S.; et al. BioCatalogue: A universal catalogue of web services for the life sciences. Nucleic Acids Res. 2010, 38, W689-W694. [CrossRef] [PubMed]
53. Goble, C.A.; Bhagat, J.; Aleksejevs, S.; Cruickshank, D.; Michaelides, D.; Newman, D.; Borkum, M.; Bechhofer, S.; Roos, M.; Li, P.; et al. myExperiment: A repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Res. 2010, 38, W677-W682. [CrossRef] [PubMed]
54. Belhajjame, K.; Wolstencroft, K.; Corcho, O.; Oinn, T.; Tanoh, F.; William, A.; Goble, C. Metadata Management in the Taverna Workflow System. In Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'08), Lyon, France, 19-22 May 2008; pp. 651-656.
55. Altintas, I.; Berkley, C.; Jaeger, E.; Jones, M.; Ludäscher, B.; Mock, S. Kepler: An extensible system for design and execution of scientific workflows. In Proceedings of the 16th International Conference on Scientific and Statistical Database Management, Santorini Island, Greece, 21-23 June 2004; pp. 423-424.
56. McPhillips, T.; Song, T.; Kolisnik, T.; Aulenbach, S.; Belhajjame, K.; Bocinsky, R.K.; Cao, Y.; Cheney, J.; Chirigati, F.; Dey, S.; et al. YesWorkflow: A User- Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts. Int. J. Digit. Curation 2015, 10, 298-313. [CrossRef]
57. Mitra, N.; Lafon, Y. SOAP Version 1.2 Part 0: Primer (Second Edition). 2007. Available online: http://www. w3.org/TR/soap12-part0 (accessed on 30 August 2016).
58. Petrie, C.; Margaria, T.; Lausen, H.; Zaremba, M. (Eds.) Semantic Web Services Challenge: Results from the First Year; Springer: Boston, MA, USA, 2009.
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BibTeX entry
@article{oai:it.cnr:prodotti:364742,
title = {White paper on research data service discoverability},
author = {Thanos C. and Klan F. and Kriticos K. and Candela L.},
publisher = {MDPI AG, Basel, Switzerland},
doi = {10.3390/publications5010001},
journal = {Publications},
volume = {5},
year = {2017}
}
0000-0002-7279-2727CNR ExploRA
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