Article ; Online: SPECTRa-T: machine-based data extraction and semantic searching of chemistry e-theses.
Journal of chemical information and modeling
2010 Volume 50, Issue 2, Page(s) 251–261
Abstract: The SPECTRa-T project has developed text-mining tools to extract named chemical entities (NCEs), such as chemical names and terms, and chemical objects (COs), e.g., experimental spectral assignments and physical chemistry properties, from electronic ... ...
| Abstract | The SPECTRa-T project has developed text-mining tools to extract named chemical entities (NCEs), such as chemical names and terms, and chemical objects (COs), e.g., experimental spectral assignments and physical chemistry properties, from electronic theses (e-theses). Although NCEs were readily identified within the two major document formats studied, only the use of structured documents enabled identification of chemical objects and their association with the relevant chemical entity (e.g., systematic chemical name). A corpus of theses was analyzed and it is shown that a high degree of semantic information can be extracted from structured documents. This integrated information has been deposited in a persistent Resource Description Framework (RDF) triple-store that allows users to conduct semantic searches. The strength and weaknesses of several document formats are reviewed. |
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| MeSH term(s) | Academic Dissertations as Topic ; Automatic Data Processing ; Chemistry/education ; Data Mining/methods ; Databases, Factual ; False Positive Reactions ; Software | |||||
| Language | English | |||||
| Publishing date | 2010-02-22 | |||||
| Publishing country | United States | |||||
| Document type | Journal Article ; Research Support, Non-U.S. Gov't | |||||
| ZDB-ID | 190019-5 | |||||
| ISSN | 1549-960X ; 0095-2338 | |||||
| ISSN (online) | 1549-960X | |||||
| ISSN | 0095-2338 | |||||
| DOI | 10.1021/ci9003688 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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