Towards a pan-european e-procurement platform to aggregate, publish and search public procurement notices powered by linked open data: The moldeas approach

International Journal of Software Engineering and Knowledge Engineering

Volumn 22, Issue 3, 2012, Pages 365-383

  Alvarez, Jose María ^a   Labra, José Emilio ^a   Cifuentes, Francisco ^a   Alor Hérnandez, Giner ^b   Sánchez, Cuauhtémoc ^b   Luna, Jaime Alberto Guzmán ^c  

^a UNIVERSITY OF OVIEDO   (Spain)

^b Research and Postgraduate Division   (Mexico)

^c UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

commercial services; e government; e Procurement; linked open data; semantic technologies

Indexed keywords

COMMERCIAL SERVICES; E-GOVERNMENT; E-PROCUREMENT; LINKED OPEN DATA; SEMANTIC TECHNOLOGIES;

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

SEARCH ENGINES;

EID: 84863462509     PISSN: 02181940     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218194012400086     Document Type: Article

References (55)

1. M. Podlogar, e-procurement success factors: Challenges and opportunities for a small developing country, in e-Procurement in Emerging Economies Theory and Cases (Group Publishing, 2007
2. Unit C4-Economic Dimension of Public Procurement; e-Procurement European Commision, consultation on the Green paper on expanding the use of e-Procurement in the EU, April 2010, http://ec.europa.eu/internal market/consultations/2010/ e-procurement en.htm.
3. Open Government Data Initiative, Open Government Data Principles, December 2007, https://public.resource.org/8 principles.html.
4. D. Bennett and A. Harvey, Publishing Open Government Data, W3C working draft, W3C, 2009. http://www.w3.org/TR/gov-data/.
5. P. Dolog, F. Durao, K. Jahn, Y. Lin and D. Kjærsgaard Peitersen, Recommending open linked data in creativity sessions using web portals with collaborative real time environment, Journal of Universal Computer Science 17(12) (2011) 1690-1709.
6. R. Colomo-Palacios, J. L. Sanchez-Cervantes, G. Alor-Hernandez and A. Rodríguez- Gonzalez, Linked Data: Perspectives for IT professionals, International Journal of Human Capital and Information Technology Professionals 3(3) (2012) 1-13.
7. R. Cyganiak and A. Jentzsch, The Linking Open data cloud diagram, November 2011. http://richard.cyganiak.de/2007/10/lod/.
8. T. Heath and C. Bizer, Linked Data: Evolving the Web into a Global Data Space, Vol. 1, Synthesis Lectures on the Semantic Web: Theory and Technology (Morgan &Claypool, 2011
9. LOTED Project, Linked open tenders electronic dialy, 2010, http://loted.eu:8081/LOTED1Rep/.
10. UK Government, Opening up government, December 2011, http://data.gov.uk/.
11. A Linked Data representation of the nomenclature of territorial units for statistics, Vol. 700 of CEUR Workshop Proceedings, February 2010.
12. Spanish Government, Proyecto APORTA, December 2011, http://www.aporta.es/ .
13. White House. Open Government Initiative, January 2009, http://www.whitehouse.gov/open.
14. F. Cifuentes-Silva, Ch. Sifaqui and J. E. Labra, Towards an architecture and adoption process for linked data technologies in open government contexts (A case study for the Library of Congress of Chile), in Proc. of I-Semantics 2011, 2011.
15. D. Reynolds, An organization ontology. Draft, Epimorphics Ltd, 2010. http://www. epimorphics.com/web/category/category/developers/organization- ontology.
16. Ch. Taggart and R. McKinnon, The Open Database of The Corporate World, 2010, http://opencorporates.com/.
17. J. Leukel, V. Schmitz et al., Exchange of Catalog Data in B2B Relationships-Analysis and Improvement.
18. G. Alor-Hernandez, J. M. Gómez Berbís, A. Rodríguez Gonzalez et al., HYDRA: A middleware-oriented integrated architecture for e-Procurement in supply chains, T. Computational Collective Intelligence 1 (2010) 1-20.
19. M. Hepp, Possible ontologies, IEEE-Internet Computing 11(1) (2007) 90-96.
20. J. M. Alvarez, E. Rubiera and L. Polo, Promoting government controlled vocabularies for the semantic web: The EUROVOC thesaurus and the CPV product classication system, in Proc. of the First International Workshop, Semantic Interoperability in the European Digital Library, SIEDL, 2008.
21. K. Alexander, R. Cyganiak, M. Hausenblas and J. Zhao, Describing Linked Datasets with the VoID Vocabulary, W3C interest group note, W3C, 2011, http://www.w3.org/TR/void/.
22. E. Prud'hommeaux and A. Seaborne, SPARQL Query Language for RDF, W3C recommendation, W3C, 2007, http://www.w3.org/TR/rdf-sparql-query/.
23. Y. Jing, D. Jeong and D. K. Baik, SPARQL graph pattern rewriting for OWL-DL inference query, in Proc. of 2008 Fourth International Conference on Networked Computing and Advanced Information Management, Vol. 2, Washington, DC, USA, 2008, pp. 675-680.
24. A. M. Collins and E. F. Loftus, A spreading activation theory of semantic processing, Psychological Review 82(6) (1975) 407-428.
25. S. E. Preece, A Spreading Activation Network Model for Information Retrieval, PhD thesis, University of Illinois, Urbana, Illinois, USA, 1981.
26. Y. Qiu and H. P. Frei, Concept-based query expansion, in Proc. of SIGIR-93, Pittsburgh, US, 1993, pp. 160-169.
27. H. Chen and T. Ng, An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation): Symbolic branch-And-bound search vs. connectionist Hopeld net activation, J. Am. Soc. Inf. Sci. 46(5) (1995) 348-369.
28. S. Gouws, G. J. Van Rooyen and H. E. Engelbrecht, Measuring conceptual similarity by spreading activation over Wikipedia's hyperlink structure, in Proc. of the 2nd Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources, Beijing, China, August 2010, pp. 46-54.
29. A. Katifori, C. Vassilakis and A. J. Dix, Ontologies and the brain: Using spreading activation through ontologies to support personal interaction, Cognitive Systems Research 11(1) (2010) 25-41.
30. W. Liu, A. Weichselbraun, A. Scharl and E. Chang, Semi-Automatic ontology extension using spreading activation, Universal Knowledge Management 0(1) (2005) 50-58.
31. A. Troussov, M. Sogrin, J. Judge and D. Botvich, Mining socio-semantic networks using spreading activation technique, 2008.
32. J. E. Labra, P. Ordonez and J. M. Cueva, Combining collaborative tagging and ontologies in image retrieval systems, in Proc. of 2nd International Conference on Metadata and Greece Semantic Web Research, 2007.
33. F. Gelgi, S. Vadrevu and H. Davulcu, Improving web data annotations with spreading activation, in WISE 2005, pp. 95-106. (Pubitemid 43829626)
34. A. Chen, H.-H. Chen and P. Huang, Predicting social annotation by spreading activation, in Proc. of ICADL'07, Berlin, Heidelberg, 2007, pp. 277-286.
35. Q. Gao, J. Yan and M. Liu, A semantic approach to recommendation system based on user ontology and spreading activation model, in NPC '08: Proc. of the 2008 IFIP, Washington, DC, USA, 2008, IEEE Computer Society, pp. 488-492.
36. J. Suchal, On nding power method in spreading activation search, in V. Geert et al. (eds.), SOFSEM (2), Safarik University, Slovakia, 2008, pp. 124-130.
37. K. Schumacher, M. Sintek and L. Sauermann, Combining metadata and document search with spreading activation for semantic desktop search, in S. Bechhofer et al. (eds.), Proc. of ESWC, June 2008, pp. 569-583.
38. D. Berrueta, J. E. Labra and L. Polo, Searching over public administration legal documents using ontologies, JCKBSE2006, pp. 167-175.
39. C. Rocha and D. Schwabe et al., A hybrid approach for searching in the semantic web, in WWW2004, pp. 374-383.
40. J.-Y. Nie, Query expansion and query translation as logical inference, J. Am. Soc. Inf. Sci. Technol. 54(4) (2003) 335-346.
41. J. Urbani, S. Kotoulas, J. Maassen, N. Drost, F. Seinstra, F. Van Harmelen and H. Bal, H WebPIE: A web-scale parallel inference engine, in Third IEEE International Scalable Computing Challenge (SCALE2010), held in conjunction with the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2010.
42. J. Urbani, S. Kotoulas, J. Maassen, F. Van Harmelen and H. Bal, OWL reasoning with WebPIE: Calculating the closure of 100 billion triples.
43. A. Harth, A. Hogan, S. Kotoulas and J. Urbani, Scalable integration and processing of linked data, in Proc. of the 20th International Conference Companion on World Wide Web, WWW '11, New York, NY, USA, 2011, ACM, pp. 295-296.
44. A. Bellaachia and G. Amor-Tijani, Enhanced query expansion in English-Arabic CLIR, in Proc. of the 2008 19th International Conference on Database and Expert Systems Application, Washington, DC, USA, 2008 (IEEE Computer Society), pp. 61-66.
45. J. M. Alvarez, L. Polo, P. Abella, W. Jimenez and J. E. Labra, Application of the spreading activation technique for recommending concepts of well-known ontologies in medical systems, in Proc. of SATBI 2011 in Conjunction with ACM-BCB-2011, 2011.
46. J. M. Alvarez and J. E. Labra, MOLDEAS Project, 2011, http://purl.org/weso/moldeas/.
47. A. Emrouznejad and G. R. Amin, Document similarity: A new measure using owa, in Proc. of the 6th FSKD, FSKD'09, Piscataway, NJ, USA, 2009, pp. 186-190.
48. J. Pound, P. Mika and H. Zaragoza, Ad hoc object retrieval in the web of data, in Proc. of the 19th WWW (WWW '10), New York, NY, USA, 2010, pp. 771-780.
49. M. Schmidt, M. Meier and G. Lausen, Foundations of SPARQL query optimization, in Proc. of the 13th International Conference on Database Theory (ICDT'10), New York, NY, USA, 2010, pp. 4-33.
50. A. Bernstein, C. Kiefer and M. Stocker, OptARQ: A SPARQL optimization approach based on triple pattern selectivity estimation, Technical report, University of Zurich, Department of, 2007.
51. C. Buil-Aranda, M. Arenas and O. Corcho, Semantics and optimization of the SPARQL 1.1 Federation Extension, in Proc. of the 8th ESWC'11 (ESWC'11), 2011.
52. Y. Yan, C. Wang and A. Zhou, E±ciently querying rdf data in triple stores, in Proc. of the 17th WWW (WWW'08), New York, 2008, pp. 1053-1054.
53. R. Blanco, E. Bortnikov, F. Junqueira, R. Lempel, L. Telloli and H. Zaragoza, Caching search engine results over incremental indices, in Proceeding of the 33rd ACM SIGIR'10 Conference (SIGIR'10), New York, NY, USA, 2010, pp. 82-89.
54. J. M. Alvarez, J. E. Labra, R. Calmeau, A. Marín and J. L. Marín, Innovative services to ease the access to the public procurement notices using linking open data and advanced methods based on semantics, in Proc. of the 5th International Conference on Methodologies and Tools Enabling e-Government, 2011.
55. J. L. Maŕn and J. E. Labra, Doing business by selling free services, in P. Ordz et al. (eds.), Web 2.0: The Business Model, Part 6 (Springer, 2009), pp. 89-102.