Harmonization Of Vocabularies For Water Data

Observational data encodes values of properties associated with a feature of interest, estimated by a specified procedure. For water the properties are physical parameters like level, volume, flow and pressure, and concentrations and counts of chemicals, substances and organisms. Water property vocabularies have been assembled at project, agency and jurisdictional level. Organizations such as EPA, USGS, CEH, GA and BoM maintain vocabularies for internal use, and may make them available externally as text files. BODC and MMI have harvested many water vocabularies alongside others of interest in their domain, formalized the content using SKOS, and published them through web interfaces. Scope is highly variable both within and between vocabularies. Individual items may conflate multiple concerns (e.g. property, instrument, statistical procedure, units). There is significant duplication between vocabularies. Semantic web technologies provide the opportunity both to publish vocabularies more effectively, and achieve harmonization to support greater interoperability between datasets. - Models for vocabulary items (property, substance/taxon, process, unit-of-measure, etc) may be formalized OWL ontologies, supporting semantic relations between items in related vocabularies; - By specializing the ontology elements from SKOS concepts and properties, diverse vocabularies may be published through a common interface; - Properties from standard vocabularies (e.g. OWL, SKOS, PROV-O and VAEM) support mappings between vocabularies having a similar scope - Existing items from various sources may be assembled into new virtual vocabularies However, there are a number of challenges: - use of standard properties such as sameAs/exactMatch/equivalentClass require reasoning support; - items have been conceptualised as both classes and individuals, complicating the mapping mechanics; - re-use of items across vocabularies may conflict with expectations concerning URI patterns; - versioning complicates cross-references and re-use. This presentation will discuss ways to harness semantic web technologies to publish harmonized vocabularies, and will summarise how many of the challenges may be addressed.

Controlled Vocabulary Enhancement through Crowdsourcing: Project Andvari, Micropasts, and Public Quality Assurance

Proceedings paper published by Society of American Archivists. Presented at conference in 2015 in Cleveland, OH (http://www2.archivists.org/proceedings/research-forum/2015/agenda#papers). Published by SAA in 2016.

Overview of FEED, the feeding experiments end-user database.

The Feeding Experiments End-user Database (FEED) is a research tool developed by the Mammalian Feeding Working Group at the National Evolutionary Synthesis Center that permits synthetic, evolutionary analyses of the physiology of mammalian feeding. The tasks of the Working Group are to compile physiologic data sets into a uniform digital format stored at a central source, develop a standardized terminology for describing and organizing the data, and carry out a set of novel analyses using FEED. FEED contains raw physiologic data linked to extensive metadata. It serves as an archive for a large number of existing data sets and a repository for future data sets. The metadata are stored as text and images that describe experimental protocols, research subjects, and anatomical information. The metadata incorporate controlled vocabularies to allow consistent use of the terms used to describe and organize the physiologic data. The planned analyses address long-standing questions concerning the phylogenetic distribution of phenotypes involving muscle anatomy and feeding physiology among mammals, the presence and nature of motor pattern conservation in the mammalian feeding muscles, and the extent to which suckling constrains the evolution of feeding behavior in adult mammals. We expect FEED to be a growing digital archive that will facilitate new research into understanding the evolution of feeding anatomy.

The METAFOR project: preserving data through metadata standards for climate models and simulations

Climate modeling is a complex process, requiring accurate and complete metadata in order to identify, assess and use climate data stored in digital repositories. The preservation of such data is increasingly important given the development of ever-increasingly complex models to predict the effects of global climate change. The EU METAFOR project has developed a Common Information Model (CIM) to describe climate data and the models and modelling environments that produce this data. There is a wide degree of variability between different climate models and modelling groups. To accommodate this, the CIM has been designed to be highly generic and flexible, with extensibility built in. METAFOR describes the climate modelling process simply as "an activity undertaken using software on computers to produce data." This process has been described as separate UML packages (and, ultimately, XML schemas). This fairly generic structure canbe paired with more specific "controlled vocabularies" in order to restrict the range of valid CIM instances. The CIM will aid digital preservation of climate models as it will provide an accepted standard structure for the model metadata. Tools to write and manage CIM instances, and to allow convenient and powerful searches of CIM databases,. Are also under development. Community buy-in of the CIM has been achieved through a continual process of consultation with the climate modelling community, and through the METAFOR team’s development of a questionnaire that will be used to collect the metadata for the Intergovernmental Panel on Climate Change’s (IPCC) Coupled Model Intercomparison Project Phase 5 (CMIP5) model runs.

Describing Earth system simulations with the Metafor CIM

The Metafor project has developed a common information model (CIM) using the ISO19100 series for- malism to describe numerical experiments carried out by the Earth system modelling community, the models they use, and the simulations that result. Here we describe the mechanism by which the CIM was developed, and its key properties. We introduce the conceptual and application ver- sions and the controlled vocabularies developed in the con- text of supporting the fifth Coupled Model Intercomparison Project (CMIP5). We describe how the CIM has been used in experiments to describe model coupling properties and de- scribe the near term expected evolution of the CIM.

A Harmonized Vocabulary For Water Quality

Interoperability of water quality data depends on the use of common models, schemas and vocabularies. However, terms are usually collected during different activities and projects in isolation of one another, resulting in vocabularies that have the same scope being represented with different terms, using different formats and formalisms, and published in various access methods. Significantly, most water quality vocabularies conflate multiple concepts in a single term, e.g. quantity kind, units of measure, substance or taxon, medium and procedure. This bundles information associated with separate elements from the OGC Observations and Measurements (O&M) model into a single slot. We have developed a water quality vocabulary, formalized using RDF, and published as Linked Data. The terms were extracted from existing water quality vocabularies. The observable property model is inspired by O&M but aligned with existing ontologies. The core is an OWL ontology that extends the QUDT ontology for Unit and QuantityKind definitions. We add classes to generalize the QuantityKind model, and properties for explicit description of the conflated concepts. The key elements are defined to be sub-classes or sub-properties of SKOS elements, which enables a SKOS view to be published through standard vocabulary APIs, alongside the full view. QUDT terms are re-used where possible, supplemented with additional Unit and QuantityKind entries required for water quality. Along with items from separate vocabularies developed for objects, media, and procedures, these are linked into definitions in the actual observable property vocabulary. Definitions of objects related to chemical substances are linked to items from the Chemical Entities of Biological Interest (ChEBI) ontology. Mappings to other vocabularies, such as DBPedia, are in separately maintained files. By formalizing the model for observable properties, and clearly labelling the separate concerns, water quality observations from different sources may be more easily merged and also transformed to O&M for cross-domain applications.

Estudo de vocabulário controlado na indexação automática: aplicação no processo de indexação do Sistema de Indización Semiautomática (SISA)

Pós-graduação em Ciência da Informação - FFC

Ontologias no processo de indexação automática de documentos textuais

Pós-graduação em Ciência da Informação - FFC

Vocabulário controlado para arquivos: análise de viabilidade e propostas

Pós-graduação em Ciência da Informação - FFC

Ontologias no processo de indexação automática de documentos textuais

Pós-graduação em Ciência da Informação - FFC

Vocabulário controlado para arquivos: análise de viabilidade e propostas

Pós-graduação em Ciência da Informação - FFC

Plano de inovação para o Vocabulário Controlado do SIBIUSP: relato de experiência

Controlled vocabularies are tools of representation of information necessary to standardize the content description and classification of information, making information systems consistent and also minimizing the dispersion of information. One of the most critical points of controlled vocabularies is the need to constantly update, in terminology and the computer system. The purpose of this paper is to share the experience of the Sistema Integrado de Bibliotecas da Universidade de São Paulo - (SIBiUSP) in planning and developing an innovation plan for your Controlled Vocabulary, reporting their goals and actions. Such actions are in different stages of referral, so there are provisional results. The article also brings the description of his movements and the difficulties encountered as collaboration and knowledge for professionals that working and researching with the theme controlled vocabularies

Sistema de gestão para linguagem documentária metadados e rede colaborativa no vocabulário controlado do SIBI/USP

Sistemas de gestão desenvolvidos para a web, a partir de metadados, permitem manutenção eficiente de grandes quantidades de informação. Um vocabulário controlado como o utilizado pelo Sistema Integrado de Bibliotecas da USP (SIBi/USP) necessita de atualização contínua realizada através de uma rede colaborativa com a participação de bibliotecários indexadores de todas as áreas do conhecimento. Este trabalho apresenta os resultados obtidos com o sistema de gestão desenvolvido pelo Grupo de Gerenciamento para a manutenção do Vocabulário Controlado do SIBi/USP. O fluxo deste sistema consiste em filtros de validação realizados pelos componentes do Grupo de Gerenciamento do Vocabulário. A metodologia de gestão do Vocabulário possui além deste sistema, uma política de governança. Os resultados obtidos nos seis anos desde a ativação do sistema de gestão pela Base de Sugestões consistiram em: 1192 inclusões de descritores, 240 alterações, 61 exclusões, totalizando 1493 operações. A gestão e o controle de qualidade do Vocabulário permitiram o aprimoramento do tratamento e da recuperação da informação no Banco de Dados Bibliográficos da USP – DEDALUS.

O ciclo da comunicação científica na semiosfera

Este ensaio apresenta a construção de um objeto de pesquisa com base na teoria da semiótica da cultura. São feitas reflexões sobre os sistemas modelizantes envolvidos no ciclo da comunicação científica em grupo de pesquisa de universidade, desde a busca da informação até a publicação dos resultados dos estudos. As linguagens naturais (idiomas) e artificiais (linguagem de busca em computadores e vocabulários controlados) são identificadas. A partir disso, o objeto se delineia como o conjunto de textos da cultura e a própria semiosfera, representada pelos diálogos dos sujeitos da cultura e o processo de comunicação envolvido. Alguns desafios se apresentam, como: a necessidade de aprofundamento na teoria da semiótica da cultura, a participação do pesquisador também como sujeito da pesquisa e o trabalho com a interdisciplinaridade para estudar um objeto com as vertentes da ciência da informação, biomedicina, semiótica e outras disciplinas a elas relacionadas.

Tags in the Catalogue: Insights From a Usability Study of LibraryThing for Libraries

Library of Congress Subject Headings (LCSH), the standard subject language used in library catalogues, are often criticized for their lack of currency, biased language, and atypical syndetic structure. Conversely, folksonomies (or tags), which rely on the natural language of their users, offer a flexibility often lacking in controlled vocabularies and may offer a means of augmenting more rigid controlled vocabularies such as LCSH. Content analysis studies have demonstrated the potential for folksonomies to be used as a means of enhancing subject access to materials, and libraries are beginning to integrate tagging systems into their catalogues. This study examines the utility of tags as a means of enhancing subject access to materials in library online public access catalogues (OPACs) through usability testing with the LibraryThing for Libraries catalogue enhancements. Findings indicate that while they cannot replace LCSH, tags do show promise for aiding information seeking in OPACs. In the context of information systems design, the study revealed that while folksonomies have the potential to enhance subject access to materials, that potential is severely limited by the current inability of catalogue interfaces to support tag-based searches alongside standard catalogue searches.