Linked Data Journalism
Knowledge Representation & Reasoning GroupVU University Amsterdam
||Information overview /Participatory transparency
Problems with existing paradigms
- Computer-Assisted Reporting
- Applicability of empirical approach
- Data Journalism
- Focus on numeric data
- Distant from a traditional (narrative) journalistic product
Data ≠ digitally stored numbers
As more information has become ones and zeroes at its most elemental level, more journalism has involved gathering, analyzing, and computing that information as quantitative data as well.
Data can be:
- Facts (some facts are numeric)
Let's integrate data into journalism
- "A new type of reporter is needed."
- Data Journalism will lead to "[l]ess guessing, less looking for quotes — instead, a journalist can build a strong position supported by data" (Gray2012)
Let's integrate data into the journalist's workflow
Better integraton between journalistic product (natural language text) and data.
- Big Data platform
- Entity Detection: the automatic identification of concepts, people, places, ...
- Linking: between concepts/people/places/etc. and data about them
- Aggregation: Data → Information
- Contextualization: Information → Knowledge
 Big Data platform:
 Entity Detection
For a natural language text, find the objects denoted by names and the relations denoted by adjectives, nouns and verbs.
E.g., DBpedia Spotlight
Given a logical model of the natural language text, pull in data about the entities described in that text.
-  Aggregation
-  Contextualization
- Domain expert involvement & field testing