Chemical Information Mining: Facilitating Literature-Based by Debra L. Banville

By Debra L. Banville

The First ebook to explain the Technical and useful parts of Chemical textual content Mining

Explores the advance of chemical constitution extraction features and the way to include those applied sciences in day-by-day study work For clinical researchers, discovering an excessive amount of details on a topic, now not discovering adequate details, or not being able to entry complete textual content files frequently expenses them time, cash, and caliber. Addressing those matters, Chemical info Mining: Facilitating Literature-Based Discovery provides strategic rules for correctly deciding upon and effectively utilizing the simplest textual content mining instruments for medical research.

Links chemical and organic entities on the middle of existence technology research The ebook makes a speciality of info extraction matters, highlights to be had options, and underscores the worth of those ideas to educational and advertisement scientists. After introducing the drivers in the back of chemical textual content mining, it discusses chemical semantics. The individuals describe the instruments that establish and convert chemical names and photographs to structure-searchable info. additionally they clarify average language processing, identify entity popularity innovations, and semantic internet applied sciences. Following a piece on present developments within the box, the e-book seems at the place info mining methods healthy into the study wishes in the existence sciences.

Shaping the way forward for clinical info and data management by means of construction wisdom and competency within the becoming zone of literature-based discovery, this e-book indicates how textual content mining of the chemical literature can bring up drug discovery possibilities and increase existence technological know-how research.

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Extra resources for Chemical Information Mining: Facilitating Literature-Based Discovery

Example text

Derivatives of 5-(2-hydroxyethyl)pyridine-2-carboxylic acid have been ... 3 Name to structure conversion OH HO 4 N O Creation of structure searchable documents, population of databases, annotation of documents, etc. 1 General scheme for mining chemical structures from text. Automated Indentification and Conversion of Chemical Names 27 recognition of chemical names. In the same way that general OCR programs use language-specific dictionaries to assist in recognizing text, a chemically intelligent OCR program needs to use a dictionary of appropriate chemical text fragments and use a series of specific algorithms to recognize chemical names.

5. Philadelphia: John Benjamin’s Publishing Co. Merck & Co. 1989. The Merck Index, 11th ed. Rahway, NJ: Author, p. 5599. J. 1997. The World Wide Web as a chemical information tool. Chemical Society Reviews, 26:1–10. , and Kosata, B. 2002. Compendium of Chemical Terminology (also known as the IUPAC Gold Book). Prague: ICT Press. html. , and Waldron B. (2007). Integrating general-purpose and domain-specific components in the analysis of scientific text. Proceedings of the UK e-Science Programme All Hands Meeting (AHM2007), Nottingham, UK.

1B Screen shot showing examples of chemical NER patent capabilities from Mpiric’s ChemAnalyser capability. “Patents contain a huge amount of unmined chemical information in text form. We have developed a Chemical Content Recognition (CCR) technology that employs multi-level error tolerant algorithms to recogonise not only perfect chemical names but even misspelled names and artifacts due to suboptimal OCR. Based on this core technology, we have created CHEM ANALYSER that unveils chemical information and provides powerful research tools.

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