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Języki publikacji
Abstrakty
This paper describes the method of forming a united dynamic data set that has the general structure and only content. The procedure of forming the triplets with the structure "subject-predicate-object" with the received input information resources descriptions has been proposed. The formula of calculating the similarity factor of user query with information resource semantic metadata has been presented. The structure of the semistructured data dynamic integration system that used “Mash-Up” technology has been designed.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
34--43
Opis fizyczny
Bibliogr. 14 poz., fig.
Twórcy
autor
- Lviv Polytechnic National University, Ukraine, 79013, Lviv, Bandera str., 28a
Bibliografia
- [1] Kushniretska I., Berko A.: Application of Mash-Up Technology for Dynamic Integration of Semi-Structured Data. Proceedings of the Sixth International Conference of Young Scientists CSE-2013, Lviv Polytechnic National University Publisher, Lviv, 2013, pp. 220–221.
- [2] Abiteboul S., Greenshpan O., Milo T.: Modeling the mashup space. WIDM, 2008, pp. 87–94.
- [3] Maximilien E., Wilkinson H., Desai N., Tai S.: A domain-specific language for web apis and services mashups. Proceedings of ICSOC’07, Berlin, Heidelberg, 2007, pp. 13–26.
- [4] Fisher T., Bakalov F., Nauerz A.: An overview of current approaches to mashup generation. Proceedings of the Fifth Conference Professional Knowledge Management: Experiences and Visions, Vol. 145, Solothurn, Switzerland, 2009, pp. 254–259.
- [5] About IFTTT. IFTTT Inc., 2015 [electronic resource] – Available on: https://ifttt.com/wtf
- [6] Zapier. Zapier Inc., 2015 [electronic resource]. – Available on: https://zapier.com
- [7] About Pipes. Yahoo! Inc., 2015, available on: http://pipes.yahoo.com/pipes
- [8] Alerts. Follow for new interesting content on the Internet. Google Inc., 2015 [electronic resource]. – Available on: https://www.google.com/alerts
- [9] Baader F., Calvanese D., McGuinness D., Nardi D., Patel-Schneider P.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, 2003, pp. 132–136.
- [10] Levy A.: Logic-Based Techniques in Data Integration. Logic Based Artificial Intelligence. Kluwer Publishers, 2000, pp. 74–76.
- [11] Recchia G., Louwerse M.: A Comparison of String Similarity Measures for Toponym Matching. Proceedings of the First ACM SIGSPATIAL International Workshop on Computational Models of Place, 2013, pp. 54–62.
- [12] Kushniretska I., Kushniretska O., Berko A.: Determination of the structure and content of input information resources for Mashup system. Technology Audit and Production Reserves, No. 6/3 (20), 2014, pp. 4–9.
- [13] Barashew D.: The Similar Documents Search. Computer science. Big Data’13, 2013 [electronic resource] – Available on: http://compscicenter.ru/sites/default/files/materials/2013_04_18_BigData_lecture_09.pdf.
- [14] Gudkov V., Gudkov E.: N-grams in Linguistics. Herald of Chelyabinsk State University, No. 24 (239), 2011, pp. 69–71.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2a542dff-49dc-44a9-8c1e-56455e91fa11