A fusion of predicate logic and document semantic distance method orientated on data and context mapping

Gang Liu, Suyan Sun, Wray Buntine, Xiaoxiao Yang

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

    Abstract

    With the continuous development of network and database technology, share and conversion on heterogeneous data are still a complex problem currently facing. Current methods are mostly based on the similarity between the field to complete the matching process, although this method can finish partial matches on information, its time complexity is very high due to the large processing data sets and the lack of prior knowledges in exploitation degree. Therefore, the information matching method is concentrated on this paper on the basis of neural network. The method adopts not only semantic similarity and first-order logic in the process of table match, but also SOM+ to produce feedback neural network in order to realize field match. The method can efficiently decrease the time complexity. At the same time, training time of neural network can be reduced with the help of history match data. At the same time the accuracy of matching is also improved.

    Original languageEnglish
    Title of host publicationProceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015
    Subtitle of host publicationDecember 19-20, 2015 Harbin, China
    EditorsLongjiang Guo
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages645-651
    Number of pages7
    ISBN (Electronic)9781467381727, 9781467381734
    DOIs
    Publication statusPublished - 2015
    EventInternational Conference on Computer Science and Network Technology 2015 - Harbin, China
    Duration: 19 Dec 201520 Dec 2015
    Conference number: 4th
    http://www.iccsnt.org/ICCSNT/

    Conference

    ConferenceInternational Conference on Computer Science and Network Technology 2015
    Abbreviated titleICCSNT 2015
    CountryChina
    CityHarbin
    Period19/12/1520/12/15
    Internet address

    Keywords

    • first-order logic
    • heterogeneous data
    • neural network
    • pattern matching

    Cite this

    Liu, G., Sun, S., Buntine, W., & Yang, X. (2015). A fusion of predicate logic and document semantic distance method orientated on data and context mapping. In L. Guo (Ed.), Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015: December 19-20, 2015 Harbin, China (pp. 645-651). [2541] Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCSNT.2015.7490828
    Liu, Gang ; Sun, Suyan ; Buntine, Wray ; Yang, Xiaoxiao. / A fusion of predicate logic and document semantic distance method orientated on data and context mapping. Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015: December 19-20, 2015 Harbin, China. editor / Longjiang Guo. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 645-651
    @inproceedings{107c58eb3e334560a23cba37d01b8ae1,
    title = "A fusion of predicate logic and document semantic distance method orientated on data and context mapping",
    abstract = "With the continuous development of network and database technology, share and conversion on heterogeneous data are still a complex problem currently facing. Current methods are mostly based on the similarity between the field to complete the matching process, although this method can finish partial matches on information, its time complexity is very high due to the large processing data sets and the lack of prior knowledges in exploitation degree. Therefore, the information matching method is concentrated on this paper on the basis of neural network. The method adopts not only semantic similarity and first-order logic in the process of table match, but also SOM+ to produce feedback neural network in order to realize field match. The method can efficiently decrease the time complexity. At the same time, training time of neural network can be reduced with the help of history match data. At the same time the accuracy of matching is also improved.",
    keywords = "first-order logic, heterogeneous data, neural network, pattern matching",
    author = "Gang Liu and Suyan Sun and Wray Buntine and Xiaoxiao Yang",
    year = "2015",
    doi = "10.1109/ICCSNT.2015.7490828",
    language = "English",
    pages = "645--651",
    editor = "Guo, {Longjiang }",
    booktitle = "Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States of America",

    }

    Liu, G, Sun, S, Buntine, W & Yang, X 2015, A fusion of predicate logic and document semantic distance method orientated on data and context mapping. in L Guo (ed.), Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015: December 19-20, 2015 Harbin, China., 2541, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 645-651, International Conference on Computer Science and Network Technology 2015, Harbin, China, 19/12/15. https://doi.org/10.1109/ICCSNT.2015.7490828

    A fusion of predicate logic and document semantic distance method orientated on data and context mapping. / Liu, Gang; Sun, Suyan; Buntine, Wray; Yang, Xiaoxiao.

    Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015: December 19-20, 2015 Harbin, China. ed. / Longjiang Guo. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 645-651 2541.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

    TY - GEN

    T1 - A fusion of predicate logic and document semantic distance method orientated on data and context mapping

    AU - Liu, Gang

    AU - Sun, Suyan

    AU - Buntine, Wray

    AU - Yang, Xiaoxiao

    PY - 2015

    Y1 - 2015

    N2 - With the continuous development of network and database technology, share and conversion on heterogeneous data are still a complex problem currently facing. Current methods are mostly based on the similarity between the field to complete the matching process, although this method can finish partial matches on information, its time complexity is very high due to the large processing data sets and the lack of prior knowledges in exploitation degree. Therefore, the information matching method is concentrated on this paper on the basis of neural network. The method adopts not only semantic similarity and first-order logic in the process of table match, but also SOM+ to produce feedback neural network in order to realize field match. The method can efficiently decrease the time complexity. At the same time, training time of neural network can be reduced with the help of history match data. At the same time the accuracy of matching is also improved.

    AB - With the continuous development of network and database technology, share and conversion on heterogeneous data are still a complex problem currently facing. Current methods are mostly based on the similarity between the field to complete the matching process, although this method can finish partial matches on information, its time complexity is very high due to the large processing data sets and the lack of prior knowledges in exploitation degree. Therefore, the information matching method is concentrated on this paper on the basis of neural network. The method adopts not only semantic similarity and first-order logic in the process of table match, but also SOM+ to produce feedback neural network in order to realize field match. The method can efficiently decrease the time complexity. At the same time, training time of neural network can be reduced with the help of history match data. At the same time the accuracy of matching is also improved.

    KW - first-order logic

    KW - heterogeneous data

    KW - neural network

    KW - pattern matching

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    M3 - Conference Paper

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    Liu G, Sun S, Buntine W, Yang X. A fusion of predicate logic and document semantic distance method orientated on data and context mapping. In Guo L, editor, Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015: December 19-20, 2015 Harbin, China. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 645-651. 2541 https://doi.org/10.1109/ICCSNT.2015.7490828