scholarly journals FRBR and Models of Semantic Cognition

2018 ◽  
Author(s):  
D. Grant Campbell
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Discovery ◽  
Hierarchical Models ◽  
Linked Data ◽  
Distributed Processing ◽  
Functional Requirements ◽  
Mechanical Modeling ◽  
Intelligence Artificielle ◽  
Semantic Cognition ◽  
Bibliographic Records

This paper will use research in cognitive science, particularly the mechanical modeling of semantic cognition, to suggest ways in which the model of the Functional Requirements of Bibliographic Records (FRBR) can be mobilized in a fashion that is consistent with linked data, knowledge discovery and artificial intelligence. The shift from hierarchical models to those based on parallel distributed processing suggest new and innovative ways in which FRBR can enhance library catalogues in the future.Cet article utilise la recherche en sciences cognitives, en particulier la modélisation mécanique de la cognition sémantique, pour suggérer des façons de mobiliser le modèle des spécifications fonctionnelles des notices bibliographiques (FRBR) d'une manière compatible avec les données liées, la découverte des connaissances et intelligence artificielle. Le passage des modèles hiérarchiques à ceux basés sur le traitement distribué parallèle suggère des façons nouvelles et innovantes d'améliorer les catalogues de bibliothèques dans le futur.

FRBR, RDA and Law Libraries

2015 ◽  
Vol 15 (4) ◽  
pp. 240-247 ◽  
Author(s):  
Helen Doyle
Keyword(s):  
Knowledge Management ◽  
Linked Data ◽  
Law Firms ◽  
Management Problem ◽  
Functional Requirements ◽  
Commercial Law ◽  
Legal Information ◽  
Bibliographic Records ◽  
Information Professionals ◽  
Access Information

AbstractOver the past few years the cataloguing community has seen radical changes in cataloguing standards, changes which appear to have been largely ignored by legal information professionals. This is a mistake according to Helen Doyle; the new cataloguing model can have enormous implications for the legal community, particularly in the spheres of information and knowledge management, and the profession is missing a huge opportunity by ignoring it. A new cataloguing standard (RDA) has been developed based on an alternative theoretical approach, known as “Functional Requirements for Bibliographic Records” (FRBR). FRBR seeks to change the way we approach the bibliographic universe: from stand-alone, individual repositories of information to networks of linked data built on a structured hierarchy. Commercial law firms are constantly trying to make connections between their traditional resources, online repositories, internal know-how, etc, but struggle to achieve complete synchronicity. FRBR provides a solution to this knowledge management problem: all resources (including people, events and subjects) become searchable, and because everything is linked, users can access information by navigating to it, establishing their own pathway through the data. Moreover, the major legal databases are already utilising linked data in this way – it is time for law firms to catch up.

scholarly journals Connecting RDA and RDF: Linked Data for a Wide World of Connected Possibilities

2015 ◽  
Vol 3 (2) ◽  
pp. 122-135 ◽  
Author(s):  
Ashleigh Faith ◽  
Michelle Chrzanowski
Keyword(s):  
Resource Description Framework ◽  
Linked Data ◽  
Information Access ◽  
Relevant Information ◽  
Functional Requirements ◽  
Knowledge Maps ◽  
Bibliographic Records ◽  
Reference Librarians ◽  
Description Framework ◽  
Resource Description

Libraries have struggled with connecting a plethora of content and the metadata stored in catalogs to patrons. Adding more value to catalogs, more tools for reference librarians, and enriched patron search, linked data is a means to connect more people with more relevant information. With the recent transition to the Resource Description and Access (RDA) cataloging standard within libraries, linking data in library databases has become a much easier project to tackle, largely because of another standard called Resource Description Framework (RDF). Both focus on resource description and both are components of linked data within the library. Tying them together is the Functional Requirements for Bibliographic Records (FRBR) conceptual framework. Acknowledging that linked data components are most likely new to many librarians, this article seeks to explain what linked data is, how RDA and RDF are connected by FRBR, and how knowledge maps may improve information access.

scholarly journals Positioning Libraries for a New Bibliographic Universe

2014 ◽  
Vol 58 (4) ◽  
pp. 233 ◽  
Author(s):  
Kristin E. Martin ◽  
Kavita Mundle
Keyword(s):  
Linked Data ◽  
English Language ◽  
Major Theme ◽  
Functional Requirements ◽  
Controlled Vocabularies ◽  
Practical Applications ◽  
Bibliographic Records ◽  
History Of ◽  
Resource Description ◽  
Language Literature

This paper surveys the English-language literature on cataloging and classification published during 2011 and 2012, covering both theory and application. A major theme of the literature centered on Resource Description and Access (RDA), as the period covered in this review includes the conclusion of the RDA test, revisions to RDA, and the implementation decision. Explorations in the theory and practical applications of the Functional Requirements for Bibliographic Records (FRBR), upon which RDA is organized, are also heavily represented. Library involvement with linked data through the creation of prototypes and vocabularies are explored further during the period. Other areas covered in the review include: classification, controlled vocabularies and name authority, evaluation and history of cataloging, special formats cataloging, cataloging and discovery services, non-AACR2/RDA metadata, cataloging workflows, and the education and careers of catalogers.

scholarly journals Origem do modelo FRBR

2015 ◽  
pp. 63-75 ◽  
Author(s):  
Kátia Lúcia Pacheco ◽  
Cristina Dotta Ortega
Keyword(s):  
International Federation ◽  
Functional Requirements ◽  
Bibliographic Records ◽  
Library Associations

Objetivo. El artículo identifica la génesis de los estudios del modelo conceptual Functional Requirements for Bibliographic Records (FRBR), publicado en 1998, por la International Federation of Library Associations and Institutions (IFLA), con el propósito de desarrollar un nuevo abordaje sobre el registro bibliográfico. Método. Se recurrió a la investigación bibliográfica para identificar publicaciones científicas sobre el concepto de modelo y de modelo conceptual para entonces, a partir de las fuentes de información oficiales de la IFLA, tratar la génesis del modelo conceptual FRBR, a fin de investigar la trayectoria que antecede la publicación del modelo e identificar el debate intelectual en torno a su elaboración. Resultado. Se constató que el modelo FRBR nació con fines eminentemente prácticos, pues engendra un conjunto de expectativas en torno a la reducción de costes de la catalogación, indicando un nivel mínimo de elementos en los registro bibliográficos que atiendan a las necesidades de los usuarios, asociadas con los varios tipos de materiales y contextos de uso. Conclusión. El acúmulo del conocimiento científico, sumado a la dimensión de la experiencia traída y sostenida en el modelo, altera los paradigmas de la catalogación tradicional, aunque el informe final del modelo no presente los fundamentos que lo sostienen.

scholarly journals O novo padrão RDA sob a perspectiva das tarefas do usuário

2016 ◽  
Vol 9 (2) ◽  
pp. 345-364
Author(s):  
Raquel Bernadete Machado ◽  
Ana Maria Pereira
Keyword(s):  
Functional Requirements ◽  
Bibliographic Records

O Resource Descripton and Access (RDA) configura-se atualmente como a nova diretriz para a catalogação de recursos informacionais. As atividades relacionadas à elaboração de um catálogo necessitam considerar, primordialmente, as tarefas que o usuário cumprirá na busca da informação. O modelo conceitual denominado Functional Requirements for Bibliographic Records (FRBR) arrola quatro tarefas básicas do usuário: encontrar, identificar, selecionar e obter. Assim, o objetivo deste artigo é analisar como a aplicação das novas diretrizes de catalogação RDA poderá contribuir para auxiliar na realização de tais tarefas. Com base na revisão de literatura, são apresentadas algumas considerações acerca do código RDA sob a perspectiva das tarefas do usuário. Conclui-se que a navegabilidade é a principal característica que um catálogo precisa apresentar ao usuário, desde que sejam desenvolvidos sistemas de gerenciamento de acervo mais robustos que os atualmente em uso adaptados às inovações propostas pelo RDA e pelos modelos conceituais.

The Semantic Web and Its Entanglements

2017 ◽  
Vol 22 (1) ◽  
pp. 21-37 ◽  
Author(s):  
Matthew T. Mccarthy
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Linked Data ◽  
Practice Theory ◽  
Knowledge Systems ◽  
Access To Information ◽  
Assemblage Theory ◽  
Complex Interactions ◽  
The World ◽  
The Web

The web of linked data, otherwise known as the semantic web, is a system in which information is structured and interlinked to provide meaningful content to artificial intelligence (AI) algorithms. As the complex interactions between digital personae and these algorithms mediate access to information, it becomes necessary to understand how these classification and knowledge systems are developed. What are the processes by which those systems come to represent the world, and how are the controversies that arise in their creation, overcome? As a global form, the semantic web is an assemblage of many interlinked classification and knowledge systems, which are themselves assemblages. Through the perspectives of global assemblage theory, critical code studies and practice theory, I analyse netnographic data of one such assemblage. Schema.org is but one component of the larger global assemblage of the semantic web, and as such is an emergent articulation of different knowledges, interests and networks of actors. This articulation comes together to tame the profusion of things, seeking stability in representation, but in the process, it faces and produces more instability. Furthermore, this production of instability contributes to the emergence of new assemblages that have similar aims.

Semantics Enhancing Knowledge Discovery and Ontology Engineering Using Mining Techniques

2011 ◽  
pp. 163-188
Author(s):  
Elena Irina Neaga
Keyword(s):  
Knowledge Discovery ◽  
Knowledge Engineering ◽  
Reference Model ◽  
Distributed Processing ◽  
Ontology Engineering ◽  
Software Architectures ◽  
Model Driven ◽  
Architectural Models ◽  
Definition Of ◽  
Comprehensive Framework

This chapter deals with a roadmap on the bidirectional interaction and support between knowledge discovery (Kd) processes and ontology engineering (Onto) mainly directed to provide refined models using common methodologies. This approach provides a holistic literature review required for the further definition of a comprehensive framework and an associated meta-methodology (Kd4onto4dm) based on the existing theories, paradigms, and practices regarding knowledge discovery and ontology engineering as well as closely related areas such as knowledge engineering, machine/ontology learning, standardization issues and architectural models. The suggested framework may adhere to the Iso-reference model for open distributed processing and Omg-model-driven architecture, and associated dedicated software architectures should be defined.

Mathematical Modeling of Artificial Neural Networks

2011 ◽  
pp. 1056-1063
Author(s):  
Radu Mutihac
Keyword(s):  
Mathematical Modeling ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Computational Neuroscience ◽  
Distributed Processing ◽  
Neural Modeling ◽  
Cognitive Systems ◽  
Neural Computing ◽  
Alternative Means

Models and algorithms have been designed to mimic information processing and knowledge acquisition of the human brain generically called artificial or formal neural networks (ANNs), parallel distributed processing (PDP), neuromorphic or connectionist models. The term network is common today: computer networks exist, communications are referred to as networking, corporations and markets are structured in networks. The concept of ANN was initially coined as a hopeful vision of anticipating artificial intelligence (AI) synthesis by emulating the biological brain. ANNs are alternative means to symbol programming aiming to implement neural-inspired concepts in AI environments (neural computing) (Hertz, Krogh, & Palmer, 1991), whereas cognitive systems attempt to mimic the actual biological nervous systems (computational neuroscience). All conceivable neuromorphic models lie in between and supposed to be a simplified but meaningful representation of some reality. In order to establish a unifying theory of neural computing and computational neuroscience, mathematical theories should be developed along with specific methods of analysis (Amari, 1989) (Amit, 1990). The following outlines a tentatively mathematical-closed framework in neural modeling.

Supporting multilingual bibliographic resource discovery with Functional Requirements for Bibliographic Records

Semantic Web ◽  
2012 ◽  
Vol 3 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Hugo Manguinhas ◽  
Nuno Freire ◽  
Jorge Machado ◽  
José Borbinha
Keyword(s):  
Resource Discovery ◽  
Functional Requirements ◽  
Bibliographic Records

scholarly journals Inference of Drawing Elements and Space Usage on Architectural Drawings Using Semantic Segmentation

2020 ◽  
Vol 10 (20) ◽  
pp. 7347
Author(s):  
Jihyo Seo ◽  
Hyejin Park ◽  
Seungyeon Choo
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Problem Solving ◽  
Architectural Design ◽  
Semantic Segmentation ◽  
Data Sets ◽  
Functional Requirements ◽  
Architectural Drawings ◽  
Design Alternatives ◽  
Automation Technology

Artificial intelligence presents an optimized alternative by performing problem-solving knowledge and problem-solving processes under specific conditions. This makes it possible to creatively examine various design alternatives under conditions that satisfy the functional requirements of the building. In this study, in order to develop architectural design automation technology using artificial intelligence, the characteristics of an architectural drawings, that is, the architectural elements and the composition of spaces expressed in the drawings, were learned, recognized, and inferred through deep learning. The biggest problem in applying deep learning in the field of architectural design is that the amount of publicly disclosed data is absolutely insufficient and that the publicly disclosed data also haves a wide variety of forms. Using the technology proposed in this study, it is possible to quickly and easily create labeling images of drawings, so it is expected that a large amount of data sets that can be used for deep learning for the automatic recommendation of architectural design or automatic 3D modeling can be obtained. This will be the basis for architectural design technology using artificial intelligence in the future, as it can propose an architectural plan that meets specific circumstances or requirements.

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