# BDP: Big-Data Poetry

> creative work by David Jhave Johnston

**Wikidata**: [Q132204195](https://www.wikidata.org/wiki/Q132204195)  
**Source**: https://4ort.xyz/entity/bdp-big-data-poetry

## Summary
BDP: Big-Data Poetry is a creative work and software application authored by David Jhave Johnston in 2014. Classified as a piece of digital poetry, it functions as a web-based performance application built using the Python programming language.

## Key Facts
- **Author:** David Jhave Johnston
- **Publication Date:** 2014
- **Genre:** Digital Poetry
- **Instance of:** Creative work, Performance, Application (Software)
- **Programming Language:** Python
- **Distribution Format:** Web page
- **Language:** English
- **ELMCIP ID:** 11124

## FAQs
### Q: Who created BDP: Big-Data Poetry?
A: BDP: Big-Data Poetry was created by David Jhave Johnston, a figure in the field of digital literature and creative coding.

### Q: What type of software is BDP: Big-Data Poetry?
A: It is a web-based application and creative work classified as digital poetry. It is also described as a performance piece.

### Q: When was BDP: Big-Data Poetry released?
A: The work was published in 2014.

### Q: What technology powers BDP: Big-Data Poetry?
A: The application is built using the Python programming language and is distributed via a web page format.

## Why It Matters
BDP: Big-Data Poetry serves as a distinct example of the intersection between computer science and literary arts, specifically within the genre of digital poetry. By utilizing Python—a general-purpose programming language typically associated with data analysis and backend development—for a creative, poetic application, the work highlights the versatility of code as a medium for artistic expression.

Its classification as both a "performance" and an "application" underscores the evolving nature of literary works in the digital age, where text is not static but dynamic and executable. The work contributes to the field of electronic literature by demonstrating how "big data" concepts can be aestheticized and transformed into poetic experiences, moving beyond pure utility into the realm of creative inquiry.

## Notable For
- **Hybrid Classification:** It is uniquely classified as a "creative work," "performance," and "application" simultaneously, bridging the gap between software utility and artistic expression.
- **Technical Foundation:** It utilizes Python for digital poetry creation, a language often used for data handling, aligning with the "Big-Data" theme of the title.
- **Authorship:** Created by David Jhave Johnston, a recognized creator in the digital poetry domain.
- **Web-Based Medium:** Distributed as a web page, making it accessible via standard internet browsers rather than requiring physical media or installation.

## Body

### Overview and Classification
BDP: Big-Data Poetry is an electronic literature work that functions as a software application. Authored by David Jhave Johnston, the work is formally identified as an instance of a "creative work," a "performance," and an "application." It falls under the genre of digital poetry and is composed in the English language.

### Technical Specifications
The software engine driving BDP: Big-Data Poetry is referenced in academic sources as Q13166, and the application is explicitly programmed using **Python**. Python is a general-purpose programming language, originally inceptioned on February 20, 1991. The use of this language suggests the work involves computational processing, likely handling large datasets ("Big-Data") to generate or manipulate poetic text.

### Publication and Access
The work was published in **2014**. It is distributed digitally via a **web page** format, classifying it as a piece of software designed for end-users to experience online. The work is indexed in the ELMCIP (Electronic Literature as a Model of Creativity and Innovation in Practice) knowledge base under the ID **11124**.