DOING : Intelligent Data – from data to knowledge (workshop of ADBIS 2021)

Mirian Halfeld Ferrari (1) , Carmem S. Hara (2)

1 LIFO - Laboratoire d'Informatique Fondamentale d'Orléans
2 UFPR - Universidade Federal do Parana [Curitiba]

Texts are important sources of information and communication in diverse domains. The intelligent, efficient, and secure use of this information requires, in most cases, the transformation of unstructured textual data into data sets with some structure, organized according to an appropriate schema that follows the semantics of an application domain. Indeed, solving the problems of modern society requires interdisci-plinary research and information cross-referencing, thus surpassing the simple provision of unstructured data. There is a need for representations that are more flexible, subtle, and context-sensitive, which can also be easily accessible via consultation tools and evolve according to these principles. In this context, consultation requires robust and efficient processing of queries, which may involve information analysis, quality assessments, consistency checking, and privacy preservation. Knowledge bases can be built as new generation infrastructures to support data science queries with a user-friendly framework. They can provide the required machinery for advised decision-making. The 2nd Workshop on Intelligent Data - From Data to Knowledge (DOING 2021) focused on transforming data into information and then into knowledge. The workshop gathers researchers from natural language processing (NLP), databases (DB), and artificial intelligence (AI). This edition featured works in two main areas: (1) information extraction from textual data and its representation on knowledge bases and (2) intelligent methods for handling and maintaining these databases. Overall, the purpose of the workshop was to focus on all aspects concerning modern infrastructures to support these areas, giving particular, but not sole, attention to data on health and environmental domains. DOING 2021 received nine submissions, out of which three were accepted as full papers and three as short papers, resulting in an acceptance rate of 50%. Each paper received three reviews from members of the Program Committee. This workshop is an event supported by the French network MADICS1. More specifically, it is an event of the action DOING2 within MADICS and of the DOING working group in the regional network DIAMS3.

Domaines: Base de données [cs.DB]; Intelligence artificielle [cs.AI]; Recherche d'information [cs.IR]

Mirian Halfeld Ferrari, Carmem S. Hara (Dir.). DOING : Intelligent Data – from data to knowledge (workshop of ADBIS 2021): Springer Communications in Computer and Information Science 1450. 1450, pp.93, 2021, Springer Communications in Computer and Information Science. ⟨hal-03461232⟩