@inproceedings{37c95d21135c401e81ead7ef870984d4,
title = "Improved shortest path edit distance for synonyms identification",
abstract = "Integration of proliferous sequencing and related data into the UniProt Knowledgebase is an important ongoing research project. This paper proposes Improved Shortest Path Edit Distance (ISPED) as an algorithm for enhancing existing integration techniques. ISPED is an improved version of the algorithm previously developed by the authors. Three major adjustments have been made: better node weight calculation, score normalization, and implementation of a re-scorer. We apply ISPED as an approximate string similarity metric to five datasets extracted from UNIPROT-GOA during synonym identification experiments. ISPED outperforms nine wellknown string similarity metrics and achieves the highest values of average precision and F1 on all selected datasets.",
author = "Alex Rudniy and Min Song and James Geller",
year = "2014",
language = "English (US)",
isbn = "9781632665140",
series = "Proceedings of the 6th International Conference on Bioinformatics and Computational Biology, BICOB 2014",
publisher = "International Society for Computers and Their Applications",
pages = "97--102",
booktitle = "Proceedings of the 6th International Conference on Bioinformatics and Computational Biology, BICOB 2014",
note = "6th International Conference on Bioinformatics and Computational Biology, BICOB 2014 ; Conference date: 24-03-2014 Through 26-03-2014",
}