Abstract
As the sources of chemical literature are vast, researchers and readers have to spend a great amount of time to obtain specific information. In addition to this, the ambiguity among the names of chemical entities often gives results which are irrelevant to the query. So it is better to provide the researchers and readers with the facility to carry out chemistry-oriented search. Nowadays, domain-specific search engines have become popular because they offer increased accuracy and additional functionality for that domain. In this paper, a domain-specific search application is developed to retrieve the relevant chemical documents from a large collection. This search application has advanced features such as specialized index and re-ranking of documents by chemical entities, functional groups, and phrases as keywords. At present, 85,680 patents and 66,425 chemical abstracts are indexed with 36,984 entities of 23 different types and 16 functional groups.
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Hema, R. (2021). Extraction and Search of Relevant Chemical Documents from the Web. In: Peng, SL., Hao, RX., Pal, S. (eds) Proceedings of First International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol 1292. Springer, Singapore. https://doi.org/10.1007/978-981-33-4389-4_24
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DOI: https://doi.org/10.1007/978-981-33-4389-4_24
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