Setting the Stage: Metadata & KOS Considerations

This talk addresses how to select metadata standards and prepare for a Knowledge Organization System (KOS) in planning a digital project. It compares several metadata standards mostly related to bibliographical information, talks about various KOS systems including term lists, subject headings, categorization schemas, classification schemas and taxonomies. It also gives a list of KOS examples and projects related to or designed for philosophy resources. Furthermore, it discusses the process and different methods in creating categories, tag libraries and taxonomies. It is prepared for students who work on a bibliographic database class project in the Texts and Technology program at the University of Central Florida

Effectiveness of Reference Models for Knowledge Organization Systems: A Cross-Analysis of Requirements

Sample PDFThis chapter intends to study reference models for the development of knowledge organization systems (KOS) to evaluate their effectiveness and their modeling capacity through a comparison of requirements. The tools for the development of technological knowledge management systems that will be compared are Reference Model for an Open Archival Information System (OAIS), Modular Requirements for Records Systems (MoReq), and The Digital Library Reference Model. Through a comparative analysis of these instruments, it is proposed to evaluate and compare their main requirements. The planning of technological systems based on these standards/requirements brings guarantees of a correct use of classifications, thesauri, ontologies, among other types of KOS. They also promote their configuration in technological systems and regarding the business processes in which these technological systems are used.info:eu-repo/semantics/publishedVersio

A Space of Transition: Rethinking Surrogates

The knowledge organization (KO) process of representing something identifiable typically involves creating a surrogate. The surrogate brings together the thing and the knowledge organization system (KOS). Therefore, we decided to focus on the surrogate and its role in the process of representation. In current practice KOS govern the creation of the surrogate. This something being represented is typically, but not necessarily, an information resource. It may also be artistic, tangible, spiritual, etc., knowledge organization systems meant to organize surrogates that represent something identifiable. A knowledge organization professional (KOP) selects what aspects of the thing to include in the representation. The knowledge organization experts/establishment (KOE) are responsible for the development of the context in which surrogates are created. The KOE are key drivers in determining process, and in developing and maintaining standards. Traditional practices are intended to ensure consistency and uniformity of interpretation and application across a range of physical and digital discourses. This context can be considered anew as postcolonial critic Homi Bhabha’s concept of the Third Space (1994)

KOS-based enrichment of archaeological fieldwork reports

Semantic enrichment techniques and tools based on knowledge organization systems (KOS) have an important role to play in supporting information discovery. This paper reports on work investigating and developing automatic indexing techniques (for final intellectual judgment) based on KOS. Within the UK, the OASIS online index of fieldwork events and their unpublished reports represent a major initiative to make archaeological fieldwork available to a wider public. OASIS is hosted by the Archaeology Data Service and is funded by Historic England and Historic Environment Scotland. A wide variety of organisations provide OASIS reports. Subject indexing is inconsistent and sometimes sparse, although use of standard KOS from the Forum on Information Standards in Heritage is encouraged. Results from a case study for an automatic (KOS-based) subject indexing recommendation system are reported. Findings include the need to extend the KOS entry vocabularies and the need for post-processing filters to prioritise subject indexing significant for the document in question. The paper goes on to reflect on the experience with future work in mind, including discussion of evaluation issues and positioning the approach within the context of previous work on subject indexing, automatic indexing for Name Authorities and Named Entity Recognition

Assessing Knowledge Organization Systems from a gender perspective: Wikipedia Taxonomy and Wikidata Ontologies

Develop a comprehensive framework for assessing the knowledge organization system (KOS), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender non-binary perspective.This study employs heuristic and inspection methods to assess Wikipedia's Knowledge Organization Systems, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia's taxonomy for advantages and enhancements.This study evaluates Wikipedia's taxonomy and Wikidata's ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia's categorization challenges.The assessment of Wikipedia categories (taxonomy) based on Knowledge Organization System standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall knowledge organization system to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.</p

Knowledge Organization Systems (KOS) in the Semantic Web: A Multi-Dimensional Review

Since the Simple Knowledge Organization System (SKOS) specification and its SKOS eXtension for Labels (SKOS-XL) became formal W3C recommendations in 2009 a significant number of conventional knowledge organization systems (KOS) (including thesauri, classification schemes, name authorities, and lists of codes and terms, produced before the arrival of the ontology-wave) have made their journeys to join the Semantic Web mainstream. This paper uses "LOD KOS" as an umbrella term to refer to all of the value vocabularies and lightweight ontologies within the Semantic Web framework. The paper provides an overview of what the LOD KOS movement has brought to various communities and users. These are not limited to the colonies of the value vocabulary constructors and providers, nor the catalogers and indexers who have a long history of applying the vocabularies to their products. The LOD dataset producers and LOD service providers, the information architects and interface designers, and researchers in sciences and humanities, are also direct beneficiaries of LOD KOS. The paper examines a set of the collected cases (experimental or in real applications) and aims to find the usages of LOD KOS in order to share the practices and ideas among communities and users. Through the viewpoints of a number of different user groups, the functions of LOD KOS are examined from multiple dimensions. This paper focuses on the LOD dataset producers, vocabulary producers, and researchers (as end-users of KOS).Comment: 31 pages, 12 figures, accepted paper in International Journal on Digital Librarie

Knowledge organization systems in the Information Science's approach

O artigo apresenta os sistemas de organização do conhecimento e a relação com as bases teóricas utilizadas na construção de tesauros, taxonomias, ontologias e sistemas de classificação na literatura da área de Ciência da Informação. O estudo utiliza a metodologia de revisão de literatura na área de organização e representação do conhecimento, além de pesquisa nas bases de dados, a fim de investigar a produção bibliográfica sobre o tema, entre 1998 e 2009. Identifica um caminho teórico percorrido na construção desses sistemas passando pela teoria da classificação, teoria do conceito, relacionamentos entre conceitos e princípios da Linguística e Terminologia. A partir de amostra representativa, faz-se análise nas suas características extrínsecas e intrínsecas. Conclui-se que tesauros e sistemas de classificação são mais citados na literatura, inclusive servindo de referência teórica para o desenvolvimento desses sistemas. Apesar dessa base teórica proveniente dos estudos sobre tesauros e classificações com normas e padrões reconhecidos internacionalmente, evidencia-se a necessidade da consolidação de padrões comuns para o desenvolvimento dos diferentes tipos de SOC. Aponta-se a necessidade de congregar interesses multidisciplinares pela convergência de objetivos e, com isso, gerar melhores práticas de organização e representação do conhecimento. _______________________________________________________________________________________________________________ ABSTRACTThis article presents the knowledge organization systems related to theories to build thesaurus, taxonomies, ontologies and classification systems in the literature field of Information Science. It uses the methodology of literature review and a research on the same field databases in order to investigate the bibliographic production about the theme, from 1998 up to July 2009. It identifies the same theoretical way to build KOS through the classification theory, concept theory, the relationship between the concepts and the foundation of Linguistics and Terminology. Extrinsic and intrinsic characteristics were analysed from the representative sample of the bibliographic production about KOS. The last chapter verifies that the thesaurus and classification systems are the most quoted in the literature about KOS, being a theoretical reference to the development of these systems based on the international standards and rules. It highlights the importance of consolidating common standards to build different types of KOS and shows the need of gathering the multidisciplinary interests linked by the same goals and also getting better practices in the knowledge organization and representation. _______________________________________________________________________________________________________________ RESUMENEl artículo presenta los sistemas de organización del conocimiento y la relación com os fundamentos teóricos utilizados en la construcción de tesauros, taxonomias, ontologias y sistemas de classificación en la literatura de Ciencia de la Información. El estudio utiliza la metodología de revisión de la literatura en el área de organización y representación del conocimiento, y la búsqueda de las bases de datos con el fin de investigar la producción de la literatura sobre el tema entre 1998 y 2009. Identifica un camino recorrido teórico en la construcción de estos sistemas a través de la teoría de la clasificación, la teoría del concepto, las relaciones entre los conceptos y principios de la Lingüística y Terminología. De una muestra representativa, es el análisis de sus características intrínsecas y extrínsecas. Se concluye que los sistemas de tesauros y la clasificación son los más citados, incluyendo servir como marco teórico para el desarrollo de tales sistemas. A pesar de esta base teórica de los estudios de las normas de tesauros y la clasificación y con las normas reconocidas internacionalmente, pone de relieve la necesidad de consolidación de las normas comunes para el desarrollo de diferentes tipos de SOC. Este artículo pone de relieve la necesidad de poner en común la convergencia de intereses y objetivos multidisciplinario, lo que genera las mejores prácticas en la organización y representación del conocimiento

HILT IV : subject interoperability through building and embedding pilot terminology web services

A report of work carried out within the JISC-funded HILT Phase IV project, the paper looks at the project's context against the background of other recent and ongoing terminologies work, describes its outcome and conclusions, including technical outcomes and terminological characteristics, and considers possible future research and development directions. The Phase IV project has taken HILT to the point where the launch of an operational support service in the area of subject interoperability is a feasible option and where both investigation of specific needs in this area and practical collaborative work are sensible and feasible next steps. Moving forward requires detailed work, not only on terminology interoperability and associated service delivery issues, but also on service and end user needs and engagement, service sustainability issues, and the practicalities of interworking with other terminology services and projects in UK, Europe, and global contexts

Data shopping in an open marketplace: introducing the Ontogrator web application for marking up data using ontologies and browsing using facets

In the future, we hope to see an open and thriving data market in which users can find and select data from a wide range of data providers. In such an open access market, data are products that must be packaged accordingly. Increasingly, eCommerce sellers present heterogeneous product lines to buyers using faceted browsing. Using this approach we have developed the Ontogrator platform, which allows for rapid retrieval of data in a way that would be familiar to any online shopper. Using Knowledge Organization Systems (KOS), especially ontologies, Ontogrator uses text mining to mark up data and faceted browsing to help users navigate, query and retrieve data. Ontogrator offers the potential to impact scientific research in two major ways: 1) by significantly improving the retrieval of relevant information; and 2) by significantly reducing the time required to compose standard database queries and assemble information for further research. Here we present a pilot implementation developed in collaboration with the Genomic Standards Consortium (GSC) that includes content from the StrainInfo, GOLD, CAMERA, Silva and Pubmed databases. This implementation demonstrates the power of ontogration and highlights that the usefulness of this approach is fully dependent on both the quality of data and the KOS (ontologies) used. Ideally, the use and further expansion of this collaborative system will help to surface issues associated with the underlying quality of annotation and could lead to a systematic means for accessing integrated data resources

Data shopping in an open marketplace: Introducing the Ontogrator web application for marking up data using ontologies and browsing using facets

In the future, we hope to see an open and thriving data market in which users can find and select data from a wide range of data providers. In such an open access market, data are products that must be packaged accordingly. Increasingly, eCommerce sellers present heterogeneous product lines to buyers using faceted browsing. Using this approach we have developed the Ontogrator platform, which allows for rapid retrieval of data in a way that would be familiar to any online shopper. Using Knowledge Organization Systems (KOS), especially ontologies, Ontogrator uses text mining to mark up data and faceted browsing to help users navigate, query and retrieve data. Ontogrator offers the potential to impact scientific research in two major ways: 1) by significantly improving the retrieval of relevant information; and 2) by significantly reducing the time required to compose standard database queries and assemble information for further research. Here we present a pilot implementation developed in collaboration with the Genomic Standards Consortium (GSC) that includes content from the StrainInfo, GOLD, CAMERA, Silva and Pubmed databases. This implementation demonstrates the power of ontogration and highlights that the usefulness of this approach is fully dependent on both the quality of data and the KOS (ontologies) used. Ideally, the use and further expansion of this collaborative system will help to surface issues associated with the underlying quality of annotation and could lead to a systematic means for accessing integrated data resources