Exploiting Lexical Knowledge in Learning User Profiles for Intelligent Information Access to Digital Collections

Author(s):  
G. Semeraro ◽  
P. Lops ◽  
M. Degemmis ◽  
C. Niederée ◽  
A. Stewart
2021 ◽  
Vol 16 ◽  
pp. 64-80
Author(s):  
Stephanie Cerqueira Silva ◽  
Maria José Vicentini Jorente

In digit-virtual museums, image representations of artifactsexpand and helpin understanding information, they enhance relationships and stimulate visual narratives associated to memory and culture. The general objective of this study was to relate Walter Benjamin’s perceptions to contributions for information organization and presentation of women’s museums digital collections constituted by the convergence of languages to the emergence of Information Design. The study was of qualitative naturebased on the descriptive-exploratory type, with bibliographic study and exploratory analysis of the National Museum of Women in the Arts from the perspective of Information Science. The interdisciplinarity of the areas allows image representationsto be understood as a strategy to empower the knowledge creation process. The study concluded that their implementation in digital environments of women’s museums should be constituted to facilitate information access and sharing in the search for social discussions in contemporaneity.


2016 ◽  
Author(s):  
Chris Bourg

This paper discusses the various ways in which the practices of libraries and librarians influence the diversity (or lackthereof) of scholarship and information access. We examine some of the cultural biases inherent in both libraryclassification systems and newer forms of information access like Google search algorithms, and propose ways ofrecognizing bias and applying feminist principles in the design of information services for scholars, particularly as librariesreinventthemselves to grapple with digital collections.


Terminology ◽  
1998 ◽  
Vol 5 (2) ◽  
pp. 203-228 ◽  
Author(s):  
Bernardo Magnini

The role of generic lexical resources as well as specialized terminology is crucial in the design of complex dialogue systems, where a human interacts with the computer using Natural Language. Lexicon and terminology are supposed to store information for several purposes, including the discrimination of semantic-ally inconsistent interpretations, the use of lexical variations, the compositional construction of a semantic representation for a complex sentence and the ability to access equivalencies across different languages. For these purposes it is necessary to rely on representational tools that are both theoretically motivated and operationally well defined. In this paper we propose a solution to lexical and terminology representation which is based on the combination of a linguistically motivated upper model and a multilingual WordNet. The upper model accounts for the linguistic analysis at the sentence level, while the multilingual WordNet accounts for lexical and conceptual relations at the word level.


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