Towards Semantic Enrichment of Newspapers: A Historical Ecology Use Case

https://openmethods.dariah.eu/2017/12/12/towards-semantic-enrichment-of-newspapers-a-historical-ecology-use-case/ OpenMethods introduction to: Towards Semantic Enrichment of Newspapers: A Historical Ecology Use Case 2017-12-12 11:16:45 Introduction: Ecologists are much aided by historical sources of information on human-animal interaction. But how does one cope with the plethora of different descriptions for the same animal in the historic record? A Dutch research group reports on how to aggregate 'Bunzings', 'Ullingen', and 'Eierdieven' (‘Egg-thieves’) into a useful historical ecology knowledge base. Joris van Zundert http://ceur-ws.org/Vol-2014/paper-05.pdf Blog post Analysis Annotating Cleanup Content Analysis Data English Enrichment Information Retrieval Interpretation Link Linked open data Machine Learning Modeling Research Activities Research Objects Research Techniques Searching Text via bookmarklet

Introduction by OpenMethods Editor (Joris van Zundert): Ecologists are much aided by historical sources of information on human-animal interaction. But how does one cope with the plethora of different descriptions for the same animal in the historic record? A Dutch research group reports on how to aggregate ‘Bunzings’, ‘Ullingen’, and ‘Eierdieven’ (‘Egg-thieves’) into a useful historical ecology knowledge base.

As a first use case, we chose to investigate documents mentioning ‘bunzing’ (European polecat) and ‘lynx’ (Lynx). These two species are chosen as a first query on the database, which returns relatively modest result sets (2,515 and 5,530 documents respectively) showing a wide variety of topics in the documents.

 

Original publication date: 04/12/2017.

Source: Towards Semantic Enrichment of Newspapers…  CEUR Workshop Proceedings, WHiSe 2017

Author: Author on Source

Drs. Joris J. van Zundert (1972) is a senior researcher and developer in humanities computing. He holds a research position in the department of literary studies at the Huygens Institute for the History of The Netherlands, a research institute of The Netherlands Royal Academy of Arts and Sciences (KNAW). His main interest as a researcher and developer is in the possibilities of computational algorithms for the analysis of literary and historic texts, and the nature and properties of humanities information and data modeling. His current research focuses on computer science and humanities interaction and the tensions between hermeneutics and ‘big data’ approaches.