Search (158 results, page 2 of 8)

0.0035694437 = product of:
  0.014277775 = sum of:
    0.014277775 = weight(_text_:information in 2783) [ClassicSimilarity], result of:
      0.014277775 = score(doc=2783,freq=8.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.23274569 = fieldWeight in 2783, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=2783)
  0.25 = coord(1/4)

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.

Source

Bulletin of the Association for Information Science and Technology. 43(2017) no.2, S.40-43

0.0033653039 = product of:
  0.013461215 = sum of:
    0.013461215 = weight(_text_:information in 3362) [ClassicSimilarity], result of:
      0.013461215 = score(doc=3362,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21943474 = fieldWeight in 3362, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0625 = fieldNorm(doc=3362)
  0.25 = coord(1/4)

Abstract

This paper presents a new approach to understanding how indexing strategies, models for interoperability and retrieval paradigms interact in information systems and how this can be used to support the design and implementation of components of a semantic navigation for information retrieval systems.

0.0033653039 = product of:
  0.013461215 = sum of:
    0.013461215 = weight(_text_:information in 4659) [ClassicSimilarity], result of:
      0.013461215 = score(doc=4659,freq=16.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21943474 = fieldWeight in 4659, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=4659)
  0.25 = coord(1/4)

Abstract

This dissertation studies ontology mapping: the problem of finding semantic correspondences between similar elements of different ontologies. In the dissertation, elements denote classes or properties of ontologies. The goal of this research is to use ontology mapping to make heterogeneous information more accessible. The World Wide Web (WWW) now is widely used as a universal medium for information exchange. Semantic interoperability among different information systems in the WWW is limited due to information heterogeneity, and the non semantic nature of HTML and URLs. Ontologies have been suggested as a way to solve the problem of information heterogeneity by providing formal, explicit definitions of data and reasoning ability over related concepts. Given that no universal ontology exists for the WWW, work has focused on finding semantic correspondences between similar elements of different ontologies, i.e., ontology mapping. Ontology mapping can be done either by hand or using automated tools. Manual mapping becomes impractical as the size and complexity of ontologies increases. Full or semi-automated mapping approaches have been examined by several research studies. Previous full or semiautomated mapping approaches include analyzing linguistic information of elements in ontologies, treating ontologies as structural graphs, applying heuristic rules and machine learning techniques, and using probabilistic and reasoning methods etc. In this paper, two generic ontology mapping approaches are proposed. One is the PRIOR+ approach, which utilizes both information retrieval and artificial intelligence techniques in the context of ontology mapping. The other is the non-instance learning based approach, which experimentally explores machine learning algorithms to solve ontology mapping problem without requesting any instance. The results of the PRIOR+ on different tests at OAEI ontology matching campaign 2007 are encouraging. The non-instance learning based approach has shown potential for solving ontology mapping problem on OAEI benchmark tests.

Content

Submitted to the Graduate Faculty of School of Information Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy.

0.0033653039 = product of:
  0.013461215 = sum of:
    0.013461215 = weight(_text_:information in 360) [ClassicSimilarity], result of:
      0.013461215 = score(doc=360,freq=16.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21943474 = fieldWeight in 360, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=360)
  0.25 = coord(1/4)

Abstract

Today's complex, information-intensive problems often require people to work together. Mostly these tasks go far beyond simply searching together; they include information lookup, sharing, synthesis, and decision-making. In addition, they all have an end-goal that is mutually beneficial to all parties involved. Such "collaborative information seeking" (CIS) projects typically last several sessions and the participants all share an intention to contribute and benefit. Not surprisingly, these processes are highly interactive. Shah focuses on two individually well-understood notions: collaboration and information seeking, with the goal of bringing them together to show how it is a natural tendency for humans to work together on complex tasks. The first part of his book introduces the general notions of collaboration and information seeking, as well as related concepts, terminology, and frameworks; and thus provides the reader with a comprehensive treatment of the concepts underlying CIS. The second part of the book details CIS as a standalone domain. A series of frameworks, theories, and models are introduced to provide a conceptual basis for CIS. The final part describes several systems and applications of CIS, along with their broader implications on other fields such as computer-supported cooperative work (CSCW) and human-computer interaction (HCI). With this first comprehensive overview of an exciting new research field, Shah delivers to graduate students and researchers in academia and industry an encompassing description of the technologies involved, state-of-the-art results, and open challenges as well as research opportunities.

Content

Inhalt: Part I Introduction.- Introduction.- Collaboration.- Collaborative Information Seeking (CIS) in Context.- Part II Conceptual Understanding of CIS.- Frameworks for CIS Research and Development.- Toward a Model for CIS.- Part III CIS Systems, Applications, and Implications.- Systems and Tools for CIS.- Evaluation.- Conclusion.- Ten Stories of Five Cs.- Brief Overview of Computer-Supported Cooperative Work (CSCW).- Brief Overview of Computer-Supported Collaborative Learning (CSCL).- Brief Overview of Computer-Mediated Communication (CMC).

Series

The Information Retrieval Series ; 34

0.0033653039 = product of:
  0.013461215 = sum of:
    0.013461215 = weight(_text_:information in 3926) [ClassicSimilarity], result of:
      0.013461215 = score(doc=3926,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21943474 = fieldWeight in 3926, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0625 = fieldNorm(doc=3926)
  0.25 = coord(1/4)

Abstract

Modern information retrieval systems advance user experience on the basis of concept-based rather than keyword-based query answering.

Series

Lecture Notes in Computer Scienc;10370) (Information Systems and Applications, incl. Internet/Web, and HCI

0.0033653039 = product of:
  0.013461215 = sum of:
    0.013461215 = weight(_text_:information in 5232) [ClassicSimilarity], result of:
      0.013461215 = score(doc=5232,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21943474 = fieldWeight in 5232, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0625 = fieldNorm(doc=5232)
  0.25 = coord(1/4)

Abstract

Interoperability refers to the ability of two or more systems or components to exchange information and to use the information that has been exchanged. This article presents the major viewpoints of interoperability, with the focus on semantic interoperability. It discusses the approaches to achieving interoperability as demonstrated in standards and best practices, projects, and products in the broad domain of knowledge organization.

0.0033256328 = product of:
  0.013302531 = sum of:
    0.013302531 = weight(_text_:information in 4417) [ClassicSimilarity], result of:
      0.013302531 = score(doc=4417,freq=10.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21684799 = fieldWeight in 4417, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4417)
  0.25 = coord(1/4)

Abstract

Purpose - The purpose of this paper is to provide a clear image of the information architecture used in the Encyclopedia of Iranian Architectural History (EIAH) and to show how it was crafted to meet the need for accessibility, expressiveness and interoperability. Design/methodology/approach - In order to assess the level of interoperability in the system, two essential concepts of the system are identified and traced in every level of the three-layer information architecture. Federated repositories are studied for the level of accessibility that they can offer. Knowledge representation level, mediator level and the semantic portal are studied for expressiveness capabilities. Findings - EIAH information architecture is capable of establishing links among resources available in the information pools connected to the system by using EIAH metadata application profile (EMAP). Different modules in this architecture, which are localized for the Persian language, can work on similar environments for other languages, for example Arabic. Originality/value - EIAH is the first example of a digital encyclopedia for the history of Iranian architecture, which is basically different from other digital encyclopedias in the way that it offers information to users. EIAH is aimed at domain experts and provides them not with pre-written and quality articles but with a wide range of resources and documents relative to what they are seeking.

0.0033256328 = product of:
  0.013302531 = sum of:
    0.013302531 = weight(_text_:information in 2192) [ClassicSimilarity], result of:
      0.013302531 = score(doc=2192,freq=10.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21684799 = fieldWeight in 2192, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2192)
  0.25 = coord(1/4)

Abstract

This book constitutes the refereed proceedings of the 8th Metadata and Semantics Research Conference, MTSR 2014, held in Karlsruhe, Germany, in November 2014. The 23 full papers and 9 short papers presented were carefully reviewed and selected from 57 submissions. The papers are organized in several sessions and tracks. They cover the following topics: metadata and linked data: tools and models; (meta) data quality assessment and curation; semantic interoperability, ontology-based data access and representation; big data and digital libraries in health, science and technology; metadata and semantics for open repositories, research information systems and data infrastructure; metadata and semantics for cultural collections and applications; semantics for agriculture, food and environment.

Content

Metadata and linked data.- Tools and models.- (Meta)data quality assessment and curation.- Semantic interoperability, ontology-based data access and representation.- Big data and digital libraries in health, science and technology.- Metadata and semantics for open repositories, research information systems and data infrastructure.- Metadata and semantics for cultural collections and applications.- Semantics for agriculture, food and environment.

LCSH

Information storage and retrieval systems

Series

Communications in computer and information science; 478

Subject

Information storage and retrieval systems

0.0033256328 = product of:
  0.013302531 = sum of:
    0.013302531 = weight(_text_:information in 4532) [ClassicSimilarity], result of:
      0.013302531 = score(doc=4532,freq=10.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21684799 = fieldWeight in 4532, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4532)
  0.25 = coord(1/4)

Abstract

The Brazilian Government has made a massive volume of structured, semi-structured and non-structured public data available on the web to ensure that the administration is as transparent as possible. Subsequently, providing applications with enough capability to handle this "big data environment" so that vital and decisive information is readily accessible, has become a tremendous challenge. In this environment, data processing is done via new approaches in the area of information and computer science, involving technologies and processes for collecting, representing, storing and disseminating information. Along these lines, this paper presents a conceptual model, the technical architecture and the prototype implementation of a tool, denominated DBgoldbr, designed to classify government public information with the help of ontologies, by transforming open data into open linked data. To achieve this objective, we used "soft system methodology" to identify problems, to collect users needs and to design solutions according to the objectives of specific groups. The DBgoldbr tool was designed to facilitate the search for open data made available by many Brazilian government institutions, so that this data can be reused to support the evaluation and monitoring of social programs, in order to support the design and management of public policies.

0.0033256328 = product of:
  0.013302531 = sum of:
    0.013302531 = weight(_text_:information in 101) [ClassicSimilarity], result of:
      0.013302531 = score(doc=101,freq=10.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.21684799 = fieldWeight in 101, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=101)
  0.25 = coord(1/4)

Abstract

Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogs, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data?without the complex implementation of RDF and other Semantic Web technologies.

LCSH

Libraries and museums / Electronic information resources
Electronic information resources

Subject

Libraries and museums / Electronic information resources
Electronic information resources

0.003091229 = product of:
  0.012364916 = sum of:
    0.012364916 = weight(_text_:information in 4758) [ClassicSimilarity], result of:
      0.012364916 = score(doc=4758,freq=6.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.20156369 = fieldWeight in 4758, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4758)
  0.25 = coord(1/4)

Abstract

The HILT Phase II project aimed to develop a pilot terminologies server with a view to improving cross-sectoral information retrieval. In order to inform this process, it was first necessary to examine how a representative group of users approached a range of information-related tasks. This paper focuses on exploratory interviews conducted to investigate the proposed ideal and actual strategies of a group of 30 users in relation to eight separate information tasks. In addition, users were asked to give examples of search terms they may employ and to describe how they would formulate search queries in each scenario. The interview process undertaken and the results compiled are outlined, and associated implications for the development of a pilot terminologies server are discussed.

0.003091229 = product of:
  0.012364916 = sum of:
    0.012364916 = weight(_text_:information in 2323) [ClassicSimilarity], result of:
      0.012364916 = score(doc=2323,freq=6.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.20156369 = fieldWeight in 2323, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=2323)
  0.25 = coord(1/4)

Abstract

The German Federal Ministry for Education and Research funded a major terminology mapping initiative, which found its conclusion in 2007. The task of this terminology mapping initiative was to organize, create and manage 'cross-concordances' between controlled vocabularies (thesauri, classification systems, subject heading lists) centred around the social sciences but quickly extending to other subject areas. 64 crosswalks with more than 500,000 relations were established. In the final phase of the project, a major evaluation effort to test and measure the effectiveness of the vocabulary mappings in an information system environment was conducted. The paper reports on the cross-concordance work and evaluation results.

Content

Beitrag während: World library and information congress: 74th IFLA general conference and council, 10-14 August 2008, Québec, Canada.

0.0029745363 = product of:
  0.011898145 = sum of:
    0.011898145 = weight(_text_:information in 1144) [ClassicSimilarity], result of:
      0.011898145 = score(doc=1144,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.19395474 = fieldWeight in 1144, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.078125 = fieldNorm(doc=1144)
  0.25 = coord(1/4)

Source

Information - Wissenschaft und Praxis. 64(2013) H.6, S.365-368

0.0029745363 = product of:
  0.011898145 = sum of:
    0.011898145 = weight(_text_:information in 1654) [ClassicSimilarity], result of:
      0.011898145 = score(doc=1654,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.19395474 = fieldWeight in 1654, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.078125 = fieldNorm(doc=1654)
  0.25 = coord(1/4)

Content

Folien eines Vortrages, 5. Kongress Bibliothek & Information Deutschland, Leipzig, 11.-14. März 2013.

0.0029745363 = product of:
  0.011898145 = sum of:
    0.011898145 = weight(_text_:information in 2895) [ClassicSimilarity], result of:
      0.011898145 = score(doc=2895,freq=8.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.19395474 = fieldWeight in 2895, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2895)
  0.25 = coord(1/4)

Abstract

The article presents a method for automatic semantic indexing of archaeological grey-literature reports using empirical (rule-based) Information Extraction techniques in combination with domain-specific knowledge organization systems. The semantic annotation system (OPTIMA) performs the tasks of Named Entity Recognition, Relation Extraction, Negation Detection, and Word-Sense Disambiguation using hand-crafted rules and terminological resources for associating contextual abstractions with classes of the standard ontology CIDOC Conceptual Reference Model (CRM) for cultural heritage and its archaeological extension, CRM-EH. Relation Extraction (RE) performance benefits from a syntactic-based definition of RE patterns derived from domain oriented corpus analysis. The evaluation also shows clear benefit in the use of assistive natural language processing (NLP) modules relating to Word-Sense Disambiguation, Negation Detection, and Noun Phrase Validation, together with controlled thesaurus expansion. The semantic indexing results demonstrate the capacity of rule-based Information Extraction techniques to deliver interoperable semantic abstractions (semantic annotations) with respect to the CIDOC CRM and archaeological thesauri. Major contributions include recognition of relevant entities using shallow parsing NLP techniques driven by a complimentary use of ontological and terminological domain resources and empirical derivation of context-driven RE rules for the recognition of semantic relationships from phrases of unstructured text.

Source

Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1138-1152

0.0029745363 = product of:
  0.011898145 = sum of:
    0.011898145 = weight(_text_:information in 3278) [ClassicSimilarity], result of:
      0.011898145 = score(doc=3278,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.19395474 = fieldWeight in 3278, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.078125 = fieldNorm(doc=3278)
  0.25 = coord(1/4)

Series

Communications in computer and information science; 672

0.0029446408 = product of:
  0.011778563 = sum of:
    0.011778563 = weight(_text_:information in 4832) [ClassicSimilarity], result of:
      0.011778563 = score(doc=4832,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.1920054 = fieldWeight in 4832, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4832)
  0.25 = coord(1/4)

Abstract

ISO 25964-2:2013 is applicable to thesauri and other types of vocabulary that are commonly used for information retrieval. It describes, compares and contrasts the elements and features of these vocabularies that are implicated when interoperability is needed. It gives recommendations for the establishment and maintenance of mappings between multiple thesauri, or between thesauri and other types of vocabularies.

Content

Part 1: Thesauri for information retrieval.

0.0029446408 = product of:
  0.011778563 = sum of:
    0.011778563 = weight(_text_:information in 1805) [ClassicSimilarity], result of:
      0.011778563 = score(doc=1805,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.1920054 = fieldWeight in 1805, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1805)
  0.25 = coord(1/4)

Abstract

This paper describes the basic concepts of terminology services and their role in information retrieval interfaces. Terminology services are consumed by other software applications using machine-to-machine protocols, rather than directly by end-users. An example of a terminology service is the pilot developed by the High Level Thesaurus (HILT) project which has successfully demonstrated its potential for enhancing subject retrieval in operational services. Examples of enhancements in three such services are given. The paper discusses the future development of terminology services in relation to the Semantic Web.

0.0029446408 = product of:
  0.011778563 = sum of:
    0.011778563 = weight(_text_:information in 2975) [ClassicSimilarity], result of:
      0.011778563 = score(doc=2975,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.1920054 = fieldWeight in 2975, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2975)
  0.25 = coord(1/4)

Abstract

This paper introduces a cooperation between the Basel Register of Thesauri, Ontologies & Classifications (BARTOC) and project coli-conc to provide information about Knowledge Organization Systems, which "encompass all types of schemes for organizing information and promoting knowledge management", in uniform form. The result is a proper metadata scheme, the JSKOS data format, and an API to connect and access connecting terminology registries so terminologies can be discovered and explored at one place.

0.0029144385 = product of:
  0.011657754 = sum of:
    0.011657754 = weight(_text_:information in 3109) [ClassicSimilarity], result of:
      0.011657754 = score(doc=3109,freq=12.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.19003606 = fieldWeight in 3109, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=3109)
  0.25 = coord(1/4)

Abstract

This proposal presents the methodology of indexing with images suggested by De Brito and Caribé (2015). The imagetic model is used as a compatible mechanism with FRSAD for a global information share and use of subject data, both within the library sector and beyond. The conceptual model of imagetic indexing shows how images are related to topics and 'key-images' are interpreted as nomens to implement the FRSAD model. Indexing with images consists of using images instead of key-words or descriptors, to represent and organize information. Implementing the imaged navigation in OPACs denotes multiple advantages derived from this rethinking the OPAC anew, since we are looking forward to sharing concepts within the subject authority data. Images, carrying linguistic objects, permeate inter-social and cultural concepts. In practice it includes translated metadata, symmetrical multilingual thesaurus, or any traditional indexing tools. iOPAC embodies efforts focused on conceptual levels as expected from librarians. Imaged interfaces are more intuitive since users do not need specific training for information retrieval, offering easier comprehension of indexing codes, larger conceptual portability of descriptors (as images), and a better interoperability between discourse codes and indexing competences affecting positively social and cultural interoperability. The imagetic methodology deploys R&D fields for more suitable interfaces taking into consideration users with specific needs such as deafness and illiteracy. This methodology arouse questions about the paradigms of the primacy of orality in information systems and pave the way to a legitimacy of multiple perspectives in document indexing by suggesting a more universal communication system based on images. Interdisciplinarity in neurosciences, linguistics and information sciences would be desirable competencies for further investigations about he nature of cognitive processes in information organization and classification while developing assistive KOS for individuals with communication problems, such autism and deafness.