So far, within the Library and Information Science (LIS) community, Knowledge Organization (KO) has developed its own very successful solutions to document search, allowing for the classification and search of millions of books. However, current KO solutions are limited in expressivity as they only support queries by document properties, e.g., by title, author and subject. In parallel, within the Artificial Intelligence and Semantic Web communities, Knowledge Representation (KR), has developed very powerful end expressive techniques which, via the use of ontologies, support queries by any entity property (e.g., the properties of the entities described in a document). However, KR has not scaled yet to the level of KO, mainly because of the lack of a precise and scalable entity specification methodology. In this paper we present DERA, a new methodology, inspired by the faceted approach, as introduced in KO, that retains all the advantages of KR and compensates for the limitations of KO. DERA guarantees at the same time quality, extensibility, scalability and effectiveness in search.

background

/pdf/from-knowledge-organization-to-knowledge-representation-3czwcmy8ub.pdf

Prolegomena to Library Classification

From Knowledge Organization to Knowledge Representation

This paper documents the continuing relevance of facet analysis as a technique for searching and organising World Wide Web based materials. The two approaches underlying WWW searching and indexing – word and concept based indexing – are outlined. It is argued that facet analysis as an a posteori approach to classification using words from the subject field as the concept terms in the classification derived represents an excellent approach to searching and organising the results of WWW searches using either search engines or search directories. Finally, it is argued that the underlying philosophy of facet analysis is better suited to the disparate nature of WWW resources and searchers than the assumptions of contemporary IR research.

Ranganathan and the Net: using facet analysis to search and organise the World Wide Web

Facet analysis

Genre is an important feature for organizing and accessing video games. However, current descriptors of video game genres are unstandardized, undefined, and embedded with multiple information dimensions. This paper describes the development of a more complex and sophisticated scheme consisting of 12 facets and 358 foci for describing and representing video game genre information. Using facet analysis, the authors analyzed existing genre labels from scholarly, commercial, and popular sources, and then synthesized them into discrete categories of indexing terms. This new, more robust scheme provides a framework for improved intellectual access to video games along multiple dimensions.

methods

https://www.ideals.illinois.edu/bitstream/handle/2142/47323/057_ready.pdf?sequence=2

Facet Analysis of Video Game Genres

Towards an Understanding of Symbolic Aspects of Professional Information : an Analysis of the Nursing Knowledge Domain

/pdf/prolegomena-to-library-classification-2m3686eyev.pdf

Prolegomena to Library Classification

Citations

From Knowledge Organization to Knowledge Representation

Ranganathan and the Net: using facet analysis to search and organise the World Wide Web

Facet analysis

Facet Analysis of Video Game Genres

Towards an Understanding of Symbolic Aspects of Professional Information : an Analysis of the Nursing Knowledge Domain

Related Papers (5)

Faceted classification: A guide to construction and use of special schemes;

The need for a faceted classification as the basis of all methods of information retrieval

Sorting Things Out: Classification and Its Consequences

The subject approach to information

The Intellectual Foundation of Information Organization