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| Content Provider | Springer Nature Link |
|---|---|
| Author | Yang, Song qiang Tian, Xue dong Yu, Bo tao Yang, Fang Zhou, Nan |
| Copyright Year | 2015 |
| Abstract | Mathematical expression retrieval is a key means of searching scientific contents in web and digital libraries. Because mathematical expressions have many different attributes compared with ordinary text, it is necessary to study the special retrieval methods including the indexing and matching model of mathematical expressions. In this paper, on the basis of the introduction of the existing math searching methods and the FDS based index, a mathematical expression matching model was proposed which realized the exact matching of formulas with three query modes called global query mode, local query mode and operational query mode. The algorithms of the query modes were given respectively. A prototype system based on the proposed model was implemented and the comparison experiments were carried out. The experimental results show that the proposed matching model simultaneously realized matching formulas in exact mode and reducing time and space consumption of retrieving to an acceptable degree. It is effective for searching math content in relative digital mathematics library. |
| Starting Page | 993 |
| Ending Page | 1004 |
| Page Count | 12 |
| File Format | |
| ISSN | 18688071 |
| Journal | International Journal of Machine Learning and Cybernetics |
| Volume Number | 6 |
| Issue Number | 6 |
| e-ISSN | 1868808X |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-08-06 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Mathematical expression retrieval FDS based index Matching model Global query Local query Operational query Exact matching Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Vision and Pattern Recognition Software |
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