Restructuring Unstructured Documents
| dc.rights.license | open | en_US |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| dc.contributor.author | PERE LAPERNE, Jacques | |
| hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | COUTURE, Nadine
ORCID: 0000-0001-7959-5227 IDREF: 111534275 | |
| dc.date.accessioned | 2023-11-24T13:57:56Z | |
| dc.date.available | 2023-11-24T13:57:56Z | |
| dc.date.issued | 2017-06-25 | |
| dc.date.conference | 2017-06-25 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/186126 | |
| dc.description.abstract | Chaque jour le volume de données numériques mondiales augmente considérablement. Plus de 75% de ces données sont non structurées. Cet article concerne la restructuration des informations graphiques contenues dans les fichiers PDF (Portable Document Format) et/ou les fichiers vectoriels. Ces documents sont détenus en général par les services de la « Smart Factory » : les bureaux d’études, les services des méthodes, les services des travaux neufs, les services de maintenance des entreprises. Pour restructurer ces données, nous proposons d’utiliser les méthodes d’Extraction des Connaissances dans les Données (ECD) ou, en anglais, Knowledge Discovery in Databases (KDD). Si, en théorie, l’utilisateur est présent lors de l’ECD, dans la pratique, ce n’est pas le cas. C’est le constat que faisait Fayard en 2003 lors de la conférence KDD. En général l’utilisateur n’est présent que lors de la phase de validation. Nous montrons pourquoi, dans la restructuration des données, il faut que l’utilisateur soit au centre du processus et présent à toutes les étapes. On peut parler d’E(A)CD pour une Extraction Anthropocentrée des Connaissances dans les Données. | |
| dc.description.abstractEn | Every day, the volume of the world's digital data increases considerably. Over 75% of these data are non-structured. This paper is about restructuring graphic information contained in Portable Document Format (PDF) files and/or vector files. These documents are generally held by ''Smart Factory'' services: design offices, methods departments, new work departments and company maintenance services. To restructure these data, we propose using Knowledge Discovery in Databases (KDD) methods. Although, theoretically, the user is present during the KDD, in practice, this is not the case. This was observed by Fayard in 2003 at the KDD conference. Generally, the user is only present during the validation phase. We show why, in data restructuring, the user must be at the heart of the process and present at all stages. We can talk about (A)KDD for the Anthropocentric Knowledge Discovery in Databases .The first stage of this restructuring consists of extracting graphic and text objects contained in Portable Document Format (PDF) files to put them in a pivot data format. The second stage consists of coding this information in the form of an alphabet. The third stage consists of recreating the graphic and text components which are repeated in these files (which we shall refer to as graphemes). And the fourth stage consists either (1) of automatically identifying these graphemes based on knowledge or (2) presenting them so the user identifies and introduces them into the knowledge base. It is this entire restructuring process, which we will describe in this paper. As we highlighted, in this incremental process it is people who play the main role, assisted by computers and not the opposite. | |
| dc.language.iso | EN | en_US |
| dc.publisher | Berntzen, L. et al. | en_US |
| dc.rights.uri | http://hal.archives-ouvertes.fr/licences/copyright/ | |
| dc.subject.en | Knowledge Discovery in Databases (KDD) | |
| dc.subject.en | Pattern recognition | |
| dc.subject.en | Graphic reconstruction | |
| dc.subject.en | Data Minning | |
| dc.subject.en | Computer Human Interface (CHI) | |
| dc.subject.en | Portable Document Format (PDF) | |
| dc.title.en | Restructuring Unstructured Documents | |
| dc.title.en | On the use of smart and semi-automatic interfaces to structure unstructured data | |
| dc.type | Communication dans un congrès | en_US |
| dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | en_US |
| dc.subject.hal | Informatique [cs]/Interface homme-machine [cs.HC] | en_US |
| bordeaux.page | 60-65 | en_US |
| bordeaux.hal.laboratories | ESTIA - Recherche | en_US |
| bordeaux.hal.laboratories | Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | Bordeaux INP | en_US |
| bordeaux.institution | Bordeaux Sciences Agro | en_US |
| bordeaux.conference.title | SMART INTERFACES 2017, The Symposium for Empowering and Smart Interfaces in Engineering | en_US |
| bordeaux.country | it | en_US |
| bordeaux.title.proceeding | Sixth International Conference on Smart Cities, Systems, Devices and Technologies (SMART 2017) | en_US |
| bordeaux.conference.city | Venice | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-01653656 | |
| hal.version | 1 | |
| hal.invited | non | en_US |
| hal.proceedings | oui | en_US |
| hal.conference.end | 2017-06-26 | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2017-06-25&rft.spage=60-65&rft.epage=60-65&rft.au=PERE%20LAPERNE,%20Jacques&COUTURE,%20Nadine&rft.genre=unknown |
