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  • × author_ss:"Klic, L."
  • × type_ss:"el"
  1. Klic, L.; Miller, M.; Nelson, J.K.; Germann, J.E.: Approaching the largest 'API' : extracting information from the Internet with Python (2018) 0.00 
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    Abstract
    This article explores the need for libraries to algorithmically access and manipulate the world's largest API: the Internet. The billions of pages on the 'Internet API' (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries can assist in creating meaning through the datafication of information on the world wide web. Because most information is created for human consumption, some programming is required for automated extraction. Python is an easy-to-learn programming language with extensive packages and community support for web page automation. Four packages (Urllib, Selenium, BeautifulSoup, Scrapy) in Python can automate almost any web page for all sized projects. An example warrant data project is explained to illustrate how well Python packages can manipulate web pages to create meaning through assembling custom datasets.
  2. Klic, L.; Miller, M.; Nelson, J.K.; Pattuelli, C.; Provo, A.: ¬The drawings of the Florentine painters : from print catalog to linked open data (2017) 0.00 
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    Abstract
    The Drawings of The Florentine Painters project created the first online database of Florentine Renaissance drawings by applying Linked Open Data (LOD) techniques to a foundational text of the same name, first published by Bernard Berenson in 1903 (revised and expanded editions, 1938 and 1961). The goal was to make Berenson's catalog information-still an essential information resource today-available in a machine-readable format, allowing researchers to access the source content through open data services. This paper provides a technical overview of the methods and processes applied in the conversion of Berenson's catalog to LOD using the CIDOC-CRM ontology; it also discusses the different phases of the project, focusing on the challenges and issues of data transformation and publishing. The project was funded by the Samuel H. Kress Foundation and organized by Villa I Tatti, The Harvard University Center for Italian Renaissance Studies. Catalog: http://florentinedrawings.itatti.harvard.edu. Data Endpoint: http://data.itatti.harvard.edu.

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