• No se han encontrado resultados

WordPress as a framework for automated data capture, filtering and structuring processes

N/A
N/A
Protected

Academic year: 2020

Share "WordPress as a framework for automated data capture, filtering and structuring processes"

Copied!
9
0
0

Texto completo

(1)

(http://dh2016.adho.org)

DH Home (http://www.dh2016.adho.org)  /  Abstracts (/abstracts/)  /  19 (/abstracts/19)

Show info   How to cite   XML Version (/static/data/392.xml)

WordPress as a Framework for Automated Data

Capture, Filtering and Structuring Processes. The

New Order of the Authors

The Exhibitium Project Note:

Generation of knowledge about temporary art exhibitions for a multivalent reuse was the topic of the proposal presented to the 2014 competition organized by the BBVA Foundation for projects in the field of Digital Humanities, resulting selected from over 250 submissions. The project website is available at:

http://exhibitium.com. The Exhibitium Project began in January 2015 and will end in December 2016, so currently we are completing the first phase.

, awarded by the BBVA Foundation, is a data­driven project developed by an international consortium of research groups. Note:

(2)
(3)

Figure1. Beagle + ExpoFinder. Operating plan (simplified)

Regarding the software, after preliminary versions based on own developments, it was decided that the most interesting option between the free software and open source solutions currently available (as the openness philosophy is a sine qua non requirement of this project) would be to use WP as framework of the system.

(4)
(5)
(6)

Figure 2. Screenshot. Exhibitions list (fragment). See the Bayesian classifier indicator

(7)
(8)
(9)

In its current state of development, the Beagle­ExpoFinder system captures and selects daily about 100 references from more than 12,000 web sources of information. Its error rate during the recording and validation processes is about 3.9%, below the 5% initially considered as permissible.

Bibliography

1. Baumgartner, R. et al. (2009). Web Data Extraction System. In Encyclopedia of Database Systems. Springer­ Verlag.

2. Kokkoras, F. et al. (2013). DEiXTo: A Web Data Extraction Suite. Proceedings of 6th Balkan Conference in Informatics (BCI 2013), Nueva York: ACM, pp. 9­12.

3. Pree, W. (1994). Design Patterns for Object­Oriented Software Development. Reading, Massachussets, USA: Addison­Wesley, ACM Press Books.

4. Raposo, J. et al. (2002). The Wargo System: Semi­Automatic Wrapper Generation in Presence of Complex Data Access Modes. Database

Referencias

Documento similar

For its part, the eudaimonic paradigm (psychological wellbeing as defined by Ryff ’s model) understands wellbeing as human potential and highlight that wellbeing is facilitated

For each data set, I list its source (wherever possible), where it is used or mentioned in the text (if it is), and, in some cases, notes on how an instructor might use the data

Among the most widely- used prediction techniques are the Naive Bayes classifier (NB), as a modern statistical technique, and the Artificial Neural Networks (ANN) and Decision

In the framework of supervised classification (discrimination) for functional data, it is shown that the optimal classification rule can be explicitly obtained for a class of

Rosen (2000) reviewed 47 researches in which it is explain the differential use of change processes according to the motivational stage, for smoking behaviour and other

Given a set of service de- scriptions, already classified under some classification taxonomy, and a new service description, we propose a heuristic for automated

In other words: if a country increases its exports, the relation between the improvement of its trade balance and the increase of imports that it induces, is same as the ratio of

It is defined as a characteristic or feature that does not always satisfy the solution of an anaphor (it is sometimes unable to resolve it). Unlike other works that resolve