Patricia Jiménez
Research Subjects
Patricia Jiménez has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Rafael Corchuelo
ETSI Informática, University of Sevilla, Sevilla, Spain
13 shared publications - Juan C. Roldán
University of Sevilla
5 shared publications - Antonia M. Reina Quintero
University of Seville
2 shared publications - Hassan A. Sleiman
CEA, LIST, Laboratoire d’Analyse de Données et Intelligence des Systèmes, Digiteo Labs Saclay, 91191 Gif Sur Yvette, France
2 shared publications - José Luis Álvarez
Centro Científico-Tecnológico de Huelva (CCTH), University of Huelva, 21007 Huelva, Spain
2 shared publications Rafael Corchuelo
2 shared publications
Latest Publications
- 21 June 2022
- Published by Wiley in Software: Practice and Experience
- Vol. 52 (10) , 2097-2126
On the design of an advanced business rule engine
Business rules govern how well‐managed companies perform every day. They are expected to be written in natural language because they are devised by business people. That makes it difficult to translate them automatically into executable rules that can be integrated into typical information systems. Our industrial and academic research concludes that the current tools have a number of problems, namely: many of them do not pay any attention to the SBVR standard; some of them are not multi‐language; most of them cannot achieve perfect parsing accuracy; some of them are not domain agnostic; some of them use proprietary technologies; some of them do not produce executable rules; and none supports exploratory what‐if analyses natively. In this article, we present Tier‐Rules, which is a system that overcomes the previous problems. We also report on an industrial case study that helps illustrate it in practice.
- 21 June 2022
- Published by Wiley in Software: Practice and Experience
- Vol. 52 (10) , 2097-2126
On the design of an advanced business rule engine
Business rules govern how well‐managed companies perform every day. They are expected to be written in natural language because they are devised by business people. That makes it difficult to translate them automatically into executable rules that can be integrated into typical information systems. Our industrial and academic research concludes that the current tools have a number of problems, namely: many of them do not pay any attention to the SBVR standard; some of them are not multi‐language; most of them cannot achieve perfect parsing accuracy; some of them are not domain agnostic; some of them use proprietary technologies; some of them do not produce executable rules; and none supports exploratory what‐if analyses natively. In this article, we present Tier‐Rules, which is a system that overcomes the previous problems. We also report on an industrial case study that helps illustrate it in practice.
- 19 March 2022
- Published by Elsevier in Expert Systems with Applications
- Vol. 199
On validating web information extraction proposals
- 19 March 2022
- Published by Elsevier in Expert Systems with Applications
- Vol. 199
On validating web information extraction proposals
- 15 January 2022
- Published by Elsevier in Information Sciences
- Vol. 591, 103-127
On exploring data lakes by finding compact, isolated clusters
- 15 January 2022
- Published by Elsevier in Information Sciences
- Vol. 591, 103-127
On exploring data lakes by finding compact, isolated clusters
- 8 January 2022
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 64 (2) , 441-474
A hybrid quantum approach to leveraging data from HTML tables
- 8 January 2022
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 64 (2) , 441-474
A hybrid quantum approach to leveraging data from HTML tables
- 1 January 2022
- Published by Elsevier in Applied Soft Computing
- Vol. 115
A coral-reef approach to extract information from HTML tables
- 1 January 2022
- Published by Elsevier in Applied Soft Computing
- Vol. 115
A coral-reef approach to extract information from HTML tables
- 1 November 2021
- Published by Elsevier in Information Processing & Management
- Vol. 58 (6)
A clustering approach to extract data from HTML tables
- 1 November 2021
- Published by Elsevier in Information Processing & Management
- Vol. 58 (6)
A clustering approach to extract data from HTML tables
- 1 December 2020
- Published by Wiley in Software: Practice and Experience
- Vol. 50 (12) , 2169-2192
On the synthesis of metadata tags for HTML files
- 1 December 2020
- Published by Wiley in Software: Practice and Experience
- Vol. 50 (12) , 2169-2192
On the synthesis of metadata tags for HTML files
- Open Access
On Extracting Data from Tables that are Encoded using HTML
Tables are a common means to display data in human-friendly formats. Many authors have worked on proposals to extract those data back since this has many interesting applications. In this article, we summarise and compare many of the proposals to extract data from tables that are encoded using HTML and have been published between $2000$ and $2018$. We first present a vocabulary that homogenises the terminology used in this field; next, we use it to summarise the proposals; finally, we compare them side by side. Our analysis highlights several challenges to which no proposal provides a conclusive solution and a few more that have not been addressed sufficiently; simply put, no proposal provides a complete solution to the problem, which seems to suggest that this research field shall keep active in the near future. We have also realised that there is no consensus regarding the datasets and the methods used to evaluate the proposals, which hampers comparing the experimental results.Open AccessOn Extracting Data from Tables that are Encoded using HTML
Tables are a common means to display data in human-friendly formats. Many authors have worked on proposals to extract those data back since this has many interesting applications. In this article, we summarise and compare many of the proposals to extract data from tables that are encoded using HTML and have been published between $2000$ and $2018$. We first present a vocabulary that homogenises the terminology used in this field; next, we use it to summarise the proposals; finally, we compare them side by side. Our analysis highlights several challenges to which no proposal provides a conclusive solution and a few more that have not been addressed sufficiently; simply put, no proposal provides a complete solution to the problem, which seems to suggest that this research field shall keep active in the near future. We have also realised that there is no consensus regarding the datasets and the methods used to evaluate the proposals, which hampers comparing the experimental results. - 1 December 2016
- Published by Elsevier in Information Systems
- Vol. 62, 74-103
On learning web information extraction rules with TANGO
- 1 December 2016
- Published by Elsevier in Information Systems
- Vol. 62, 74-103
On learning web information extraction rules with TANGO
- 10 March 2016
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 49 (1) , 197-241
Roller: a novel approach to Web information extraction
- 10 March 2016
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 49 (1) , 197-241
Roller: a novel approach to Web information extraction