Search (6 results, page 1 of 1)

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Abstract

The article discusses various aspects of the Dewey Decimal Classification (DDC) system of classifying library books in 2013. Background is presented on some librarians' desire to stop using DDC and adopt a genre-based system of classification. It says librarians can use the DDC to deal with problems and issues related to library book classification. It highlights the benefits of using captions and relative index terms and semantic relationships in DDC.

Content

"As knowledge brokers, we are living in interesting times for libraries and librarians. We wonder sometimes if our traditional tools like the Dewey Decimal Classification (DDC) system can cope with the onslaught of information. The categories provided don't always seem adequate for the knowledge-discovery habits of today's patrons. They have grown accustomed to new ways for their information needs to be met, from the fire-and-forget style of a hard-to-control classic Google search to the pervasive, always-on style of Google Now, anticipating users' information needs without their having even asked a verbal question. Contrariwise, I believe that we, as librarians, could be making better use of our tools. Many (like the DDC) are a reflection of the same social and epistemological forces that brought about modernity at the turn of the last century. We as librarians are in the unique position of providing services that are as ground-breaking as these tools. As we see the need to provide unique and cutting-edge knowledge discovery to our users, I argue in this article that the DDC can play a key role in fulfilling this purpose."

Source

Knowledge quest. 42(2013) no.2, S.22-29

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Abstract

As part of a larger assessment of relationships in the Dewey Decimal Classification (DDC) system, this study investigates the semantic nature of relationships in the DDC notational hierarchy. The semantic relationship between each of a set of randomly selected classes and its parent class in the notational hierarchy is examined against a set of relationship types (specialization, class-instance, several flavours of whole-part).The analysis addresses the prevalence of specific relationship types, their lexical expression, difficulties encountered in assigning relationship types, compatibility of relationships found in the DDC with those found in other knowledge organization systems (KOS), and compatibility of relationships found in the DDC with those in a shared formalism like the Web Ontology Language (OWL). Since notational hierarchy is an organizational mechanism shared across most classification schemes and is often considered to provide an easy solution for ontological transformation of a classification system, the findings of the study are likely to generalize across classification schemes with respect to difficulties that might be encountered in such a transformation process.

Source

Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero

Type

a

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Abstract

The FRSAD model provides an abstract analysis of subject authority data. The article tries to assess the compatibility of this conceptual framework with formalisms and practices that have emerged from the Semantic Web community. Through applying SKOS, it becomes apparent that some interpretive decisions necessary to accommodate the rigor of formal knowledge representation languages are not supported by FRSAD itself. Difficulties in clearly aligning the thema entity with either a SKOS or OWL counterpart reveal ambiguities in the FRSAD model regarding the ontological status of thema, which seems to reflect a general uncertainty regarding the aboutness of subject authority data in the library domain.

Type

a

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Abstract

Multiple groups at Mayo Clinic organize knowledge with the aid of metadata for a variety of purposes. The ontology group focuses on consumer-oriented health information using several controlled vocabularies to support and coordinate care providers, consumers, clinical knowledge and, as part of its research management, information on clinical trials. Poor findability, inconsistent indexing and specialized language undermined the goal of increasing trial participation. The ontology group designed a metadata framework addressing disorders and procedures, investigational drugs and clinical departments, adopted and translated the clinical terminology of SNOMED CT and RxNorm vocabularies to consumer language and coordinated terminology with Mayo's Consumer Health Vocabulary. The result enables retrieval of clinical trial information from multiple access points including conditions, procedures, drug names, organizations involved and trial phase. The jump in inquiries since the search site was revised and vocabularies were modified show evidence of success.

Type

a

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Abstract

The mission of the W3C Library Linked Data Incubator Group, chartered from May 2010 through August 2011, has been "to help increase global interoperability of library data on the Web, by bringing together people involved in Semantic Web activities - focusing on Linked Data - in the library community and beyond, building on existing initiatives, and identifying collaboration tracks for the future." In Linked Data [LINKEDDATA], data is expressed using standards such as Resource Description Framework (RDF) [RDF], which specifies relationships between things, and Uniform Resource Identifiers (URIs, or "Web addresses") [URI]. This final report of the Incubator Group examines how Semantic Web standards and Linked Data principles can be used to make the valuable information assets that library create and curate - resources such as bibliographic data, authorities, and concept schemes - more visible and re-usable outside of their original library context on the wider Web. The Incubator Group began by eliciting reports on relevant activities from parties ranging from small, independent projects to national library initiatives (see the separate report, Library Linked Data Incubator Group: Use Cases) [USECASE]. These use cases provided the starting point for the work summarized in the report: an analysis of the benefits of library Linked Data, a discussion of current issues with regard to traditional library data, existing library Linked Data initiatives, and legal rights over library data; and recommendations for next steps. The report also summarizes the results of a survey of current Linked Data technologies and an inventory of library Linked Data resources available today (see also the more detailed report, Library Linked Data Incubator Group: Datasets, Value Vocabularies, and Metadata Element Sets) [VOCABDATASET].
Key recommendations of the report are: - That library leaders identify sets of data as possible candidates for early exposure as Linked Data and foster a discussion about Open Data and rights; - That library standards bodies increase library participation in Semantic Web standardization, develop library data standards that are compatible with Linked Data, and disseminate best-practice design patterns tailored to library Linked Data; - That data and systems designers design enhanced user services based on Linked Data capabilities, create URIs for the items in library datasets, develop policies for managing RDF vocabularies and their URIs, and express library data by re-using or mapping to existing Linked Data vocabularies; - That librarians and archivists preserve Linked Data element sets and value vocabularies and apply library experience in curation and long-term preservation to Linked Data datasets.

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Abstract

This paper explores the history, uses cases, and future plans associated with availability of the Dewey Decimal Classification (DDC) system as linked data. Parts of the Dewey Decimal Classification (DDC) system have been available as linked data since 2009. Initial efforts included the DDC Summaries (the top three levels of the DDC) in eleven languages exposed as linked data in dewey.info. In 2010, the content of dewey.info was further extended by the addition of assignable numbers and captions from the Abridged Edition 14 data files in English, Italian, and Vietnamese. During 2012, we will add assignable numbers and captions from the latest full edition database, DDC 23. In addition to the "old friends" of different Dewey language versions, institutions such as the British Library and Deutsche Nationalbibliothek have made use of Dewey linked data in bibliographic records and authority files, and AGROVOC has linked to our data at a general level. We expect to extend our linked data network shortly to "new acquaintances" such as GeoNames, ISO 639-3 language codes, and Mathematics Subject Classification. In particular, we will examine the linking process to GeoNames as an example of cross-domain vocabulary alignment. In addition to linking plans, we report on use cases that facilitate machine-assisted categorization and support discovery in the Semantic Web environment.