A tool for producing structured interoperable data from product features on the web

Information Systems

Volumn 56, Issue , 2016, Pages 36-54

  Özacar, Tuʇba ^a  

^a CELAL BAYAR UNIVERSITY   (Turkey)

Author keywords

GoodRelations; Information extraction; Ontology; Prot g ; Rich snippets; Web scraping

Indexed keywords

INFORMATION RETRIEVAL; INTERNET; ONTOLOGY; SEARCH ENGINES; WEBSITES;

DYNAMIC WEB-PAGES; GOODRELATIONS; MOBILE APPLICATIONS; NOVEL APPLICATIONS; PRODUCT FEATURE; PRODUCTS AND SERVICES; RICH SNIPPETS; WEB SCRAPINGS;

DATA MINING;

EID: 84944081118     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2015.09.002     Document Type: Article

References (36)

1. Q. Liu, H. Wang, H. Gao, Q. Lv, J. Fu, A recommendation method in e-commerce based on product taxonomy graph, in: Proceedings of the 2012 International Conference on Information Technology and Management Science (ICITMS 2012), Springer, Berlin, Heidelberg, 2013, pp. 411-422.
2. W. Tang, Y. Hong, Y.-H. Feng, J.-M. Yao, Q.-M. Zhu, Simultaneous product attribute name and value extraction with adaptively learnt templates, in: Proceedings of the 2012 International Conference on Computer Science and Service System, CSSS '12, IEEE Computer Society, Washington, DC, USA, 2012, pp. 2021-2025.
3. F. Dominik, Semi-automatic web information extraction (Ph.D. thesis), Poznan University of Economics Department of Information Systems, 2011.
4. O. Etzioni The world wide web: quagmire or gold mine? Commun. ACM 39 1996 65 68
5. T. Özacar, IRIS: a Protégé plug-in to extract and serialize product attribute name-value pairs, in: Proceedings of the 11th Extended Semantic Web Conference 2014, Crete, 2014.
6. N. Noy, R. Fergerson, M. Musen, The knowledge model of protégé-2000: combining interoperability and flexibility, in: Knowledge Engineering and Knowledge Management Methods, Models, and Tools, Lecture Notes in Computer Science, vol. 1937, Springer, Berlin, Heidelberg, 2000, pp. 17-32.
7. M. Hepp, Goodrelations: an ontology for describing products and services offers on the web, in: Proceedings of the 16th International Conference on Knowledge Engineering: Practice and Patterns, EKAW '08, Springer-Verlag, Berlin, Heidelberg, 2008, pp. 329-346.
8. D. Siegel, Pull: The Power of the Semantic Web to Transform Your Business, 1st edition, Portfolio Hardcover, 2009.
9. P. O'Dell, Silver Bullets: How Interoperable Data Will Revolutionize Information Sharing and Transparency, AuthorHouse, 2010.
10. J. Han, Design of web semantic integration system (Ph.D. thesis), Tennessee State University. Electrical & Computer Engineering, 2008.
11. A. Firat, Information integration using contextual knowledge and ontology merging (Ph.D. thesis), Massachusetts Institute of Technology, Sloan School of Management, 2003.
12. The xpath 2.0 Standard, W3c Recommendation < http://www.network-theory.co.uk/w3c/xpath/ >, 2007.
13. I. Muslea, S. Minton, and C. Knoblock A Hierarchical Approach to Wrapper Induction 1999 ACM Press New York, NY, USA 190 197
14. C.H. Chang, M. Kayed, M.R. Girgis, and K.F. Shaalan A survey of web information extraction systems IEEE Trans. Knowl. Data Eng. 18 10 2006 1411 1428
15. C. Leondes Neural networks, fuzzy theory and genetic algorithms Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium vol. 5 2005 Kluwer Academic
16. G. Huck, P. Fankhauser, K. Aberer, E.J. Neuhold, Jedi: extracting and synthesizing information from the web., in: Proceedings of the Third IFCIS International Conference on Cooperative Information Systems, IEEE Computer Society, New York, NY, USA, 1998, pp. 32-43.
17. H. Garcia-Molina, Y. Papakonstantinou, D. Quass, A. Rajaraman, Y. Sagiv, J. Ullman, V. Vassalos, and J. Widom The TSIMMIS approach to mediation: data models and languages J. Intell. Inf. Syst. 8 2 2004 117 132
18. A. Sahuguet, F. Azavant, Wysiwyg web wrapper factory (w4f), in: Proceedings of the Eighth International WWW Conference, 1999.
19. N. Kushmerick, D.S. Weld, R. Doorenbos, Wrapper induction for information extraction, in: Proceedings of the 15th International Joint Conference on Artificial Intelligence, 1997.
20. C. N. Hsu, M. T. Dung, Wrapping semistructured web pages with finite-state transducers, in: Proceedings of the Workshop on Learning from Text and the Web, Conference on Automated Learning and Discovery, 1998.
21. I. Muslea, S. Minton, C. Knoblock, Stalker: Learning extraction rules for semistructured, in: Proceedings of the 15th Workshop on AI and Information Integration, 1998.
22. L. Liu, C. Pu, W. Han, Xwrap: an xml-enabled wrapper construction system for web information sources, in: Proceedings of the 16th International Conference on Data Engineering, 2000, pp. 611-621.
23. R. Baumgartner, S. Flesca, G. Gottlob, Visual web information extraction with lixto, in: Proceedings of 27th International Conference on Very Large Data Bases, 2001, pp. 119-128.
24. B. Wu, X. Cheng, Y. Wang, Y. Guo, L. Song, Simultaneous product attribute name and value extraction from web pages, in: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, vol. 03, IEEE Computer Society, Washington, DC, USA, 2009, pp. 295-298.
25. W. Holzinger, B. Krüpl, M. Herzog, Using ontologies for extracting product features from web pages, in: International Semantic Web Conference, Lecture Notes in Computer Science, vol. 4273, Springer, Athens, GA, USA, 2006, pp. 286-299.
26. T.R. Gruber A translation approach to portable ontology specifications Knowl. Acquis. 5 2 1993 199 220
27. Protégé Plug-in Library < http://protegewiki.stanford.edu/wiki/Protege-Plugin-Library > (last accessed: 2015-02-25).
28. Htmlunit < http://htmlunit.sourceforge.net/ >
29. B.R.C. Alex Stolz, M. Hepp, RDF Translator: A RESTful Multi-Format Data Converter for the Semantic Web, Technical Report TR-2013-1, E-Business and Web Science Research Group 2013.
30. T. S. Tullis, J. N. Stetson, A comparison of questionnaires for assessing website usability., in: Proceedings of UPA 2004, 2004.
31. J. R. Lewis, Psychometric Evaluation of the Computer System Usability Questionnaire: The Csuq, Technical Report 54.723, 1992.
32. J. Brooke, Sus: a "quick and dirty" usability scale, in: P.W. Jordan, B. Thomas, B.A. Weerdmeester, I.L. McClelland (Eds.), Usability Evaluation in Industry, Taylor and Francis, London, 1996.
33. J.T. Miller, A. Bangor, and P.T. Kortum Determining what individual sus scores mean: adding an adjective rating scale J. Usability Stud. 4 3 2009 114 123
34. A. Bangor, P.T. Kortum, and J.T. Miller An empirical evaluation of the system usability scale Int. J. Hum. Comput. Interact. 24 6 2008 574 594
35. J. Benedek, T. Miner, Measuring desirability: new methods for evaluating desirability in a usability lab setting, in: Proceedings of UPA 2002 Conference < http://www.microsoft.com/usability/UEPostings/DesirabilityToolkit.doc >, 2002.
36. Semantics3 Inc., Semantics3 - Apis for Products and Prices < https://www.semantics3.com/googleshoppingapi/quickstart >, 2013.