Search (89 results, page 1 of 5)

0.11059477 = product of:
  0.27648693 = sum of:
    0.06912173 = product of:
      0.2073652 = sum of:
        0.2073652 = weight(_text_:3a in 400) [ClassicSimilarity], result of:
          0.2073652 = score(doc=400,freq=2.0), product of:
            0.3689654 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.043520276 = queryNorm
            0.56201804 = fieldWeight in 400, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=400)
      0.33333334 = coord(1/3)
    0.2073652 = weight(_text_:2f in 400) [ClassicSimilarity], result of:
      0.2073652 = score(doc=400,freq=2.0), product of:
        0.3689654 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.043520276 = queryNorm
        0.56201804 = fieldWeight in 400, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=400)
  0.4 = coord(2/5)

Content

Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.

0.09663478 = product of:
  0.24158695 = sum of:
    0.046081156 = product of:
      0.13824347 = sum of:
        0.13824347 = weight(_text_:3a in 5820) [ClassicSimilarity], result of:
          0.13824347 = score(doc=5820,freq=2.0), product of:
            0.3689654 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.043520276 = queryNorm
            0.3746787 = fieldWeight in 5820, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03125 = fieldNorm(doc=5820)
      0.33333334 = coord(1/3)
    0.1955058 = weight(_text_:2f in 5820) [ClassicSimilarity], result of:
      0.1955058 = score(doc=5820,freq=4.0), product of:
        0.3689654 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.043520276 = queryNorm
        0.5298757 = fieldWeight in 5820, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03125 = fieldNorm(doc=5820)
  0.4 = coord(2/5)

Content

Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.

0.07372985 = product of:
  0.18432462 = sum of:
    0.046081156 = product of:
      0.13824347 = sum of:
        0.13824347 = weight(_text_:3a in 701) [ClassicSimilarity], result of:
          0.13824347 = score(doc=701,freq=2.0), product of:
            0.3689654 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.043520276 = queryNorm
            0.3746787 = fieldWeight in 701, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03125 = fieldNorm(doc=701)
      0.33333334 = coord(1/3)
    0.13824347 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
      0.13824347 = score(doc=701,freq=2.0), product of:
        0.3689654 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.043520276 = queryNorm
        0.3746787 = fieldWeight in 701, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03125 = fieldNorm(doc=701)
  0.4 = coord(2/5)

Content

Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.

0.028851017 = product of:
  0.07212754 = sum of:
    0.05738655 = weight(_text_:publishing in 2829) [ClassicSimilarity], result of:
      0.05738655 = score(doc=2829,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.26989618 = fieldWeight in 2829, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2829)
    0.014740991 = product of:
      0.029481983 = sum of:
        0.029481983 = weight(_text_:22 in 2829) [ClassicSimilarity], result of:
          0.029481983 = score(doc=2829,freq=2.0), product of:
            0.15240058 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043520276 = queryNorm
            0.19345059 = fieldWeight in 2829, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2829)
      0.5 = coord(1/2)
  0.4 = coord(2/5)

Abstract

Knowledge organization faces the challenge of managing the amount of knowledge available on the Web. Published literature in biomedical sciences is a huge source of knowledge, which can only efficiently be managed through automatic methods. The conventional channel for reporting scientific results is Web electronic publishing. Despite its advances, scientific articles are still published in print formats such as portable document format (PDF). Semantic Web and Linked Data technologies provides new opportunities for communicating, sharing, and integrating scientific knowledge that can overcome the limitations of the current print format. Here is proposed a semantic model of scholarly electronic articles in biomedical sciences that can overcome the limitations of traditional flat records formats. Scientific knowledge consists of claims made throughout article texts, especially when semantic elements such as questions, hypotheses and conclusions are stated. These elements, although having different roles, express relationships between phenomena. Once such knowledge units are extracted and represented with technologies such as RDF (Resource Description Framework) and linked data, they may be integrated in reasoning chains. Thereby, the results of scientific research can be published and shared in structured formats, enabling crawling by software agents, semantic retrieval, knowledge reuse, validation of scientific results, and identification of traces of scientific discoveries.

Date

12. 3.2016 13:17:22

0.02714992 = product of:
  0.1357496 = sum of:
    0.1357496 = weight(_text_:technological in 5732) [ClassicSimilarity], result of:
      0.1357496 = score(doc=5732,freq=8.0), product of:
        0.2312398 = queryWeight, product of:
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.043520276 = queryNorm
        0.58705115 = fieldWeight in 5732, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5732)
  0.2 = coord(1/5)

Abstract

Recent technological developments have increased the use of machine learning to solve many problems, including many in information retrieval. Multimedia information retrieval as a problem represents a significant challenge to machine learning as a technological solution, but some problems can still be addressed by using appropriate AI techniques. We review the technological developments and provide a perspective on the use of machine learning in conjunction with knowledge organization to address multimedia IR needs. The semantic gap in multimedia IR remains a significant problem in the field, and solutions to them are many years off. However, new technological developments allow the use of knowledge organization and machine learning in multimedia search systems and services. Specifically, we argue that, the improvement of detection of some classes of lowlevel features in images music and video can be used in conjunction with knowledge organization to tag or label multimedia content for better retrieval performance. We provide an overview of the use of knowledge organization schemes in machine learning and make recommendations to information professionals on the use of this technology with knowledge organization techniques to solve multimedia IR problems. We introduce a five-step process model that extracts features from multimedia objects (Step 1) from both knowledge organization (Step 1a) and machine learning (Step 1b), merging them together (Step 2) to create an index of those multimedia objects (Step 3). We also overview further steps in creating an application to utilize the multimedia objects (Step 4) and maintaining and updating the database of features on those objects (Step 5).

0.022723917 = product of:
  0.11361958 = sum of:
    0.11361958 = weight(_text_:publishing in 3061) [ClassicSimilarity], result of:
      0.11361958 = score(doc=3061,freq=4.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.5343672 = fieldWeight in 3061, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3061)
  0.2 = coord(1/5)

Abstract

This document describes in brief how to express the content and structure of a classification scheme, and metadata about a classification scheme, in RDF using the SKOS vocabulary. RDF allows data to be linked to and/or merged with other RDF data by semantic web applications. The Semantic Web, which is based on the Resource Description Framework (RDF), provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. Publishing classifications schemes in SKOS will unify the great many of existing classification efforts in the framework of the Semantic Web.

0.022723917 = product of:
  0.11361958 = sum of:
    0.11361958 = weight(_text_:publishing in 4471) [ClassicSimilarity], result of:
      0.11361958 = score(doc=4471,freq=4.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.5343672 = fieldWeight in 4471, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4471)
  0.2 = coord(1/5)

Abstract

This document describes best practice recipes for publishing vocabularies or ontologies on the Web (in RDF Schema or OWL). The features of each recipe are described in detail, so that vocabulary designers may choose the recipe best suited to their needs. Each recipe introduces general principles and an example configuration for use with an Apache HTTP server (which may be adapted to other environments). The recipes are all designed to be consistent with the architecture of the Web as currently specified, although the associated example configurations have been kept intentionally simple.

0.022723917 = product of:
  0.11361958 = sum of:
    0.11361958 = weight(_text_:publishing in 604) [ClassicSimilarity], result of:
      0.11361958 = score(doc=604,freq=4.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.5343672 = fieldWeight in 604, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=604)
  0.2 = coord(1/5)

Abstract

iQvoc is a new open source SKOS-XL vocabulary management tool developed by the Federal Environment Agency, Germany, and innoQ Deutschland GmbH. Its immediate purpose is maintaining and publishing reference vocabularies in the upcoming Linked Data cloud of environmental information, but it may be easily adapted to host any SKOS- XL compliant vocabulary. iQvoc is implemented as a Ruby on Rails application running on top of JRuby - the Java implementation of the Ruby Programming Language. To increase the user experience when editing content, iQvoc uses heavily the JavaScript library jQuery.

0.021719936 = product of:
  0.10859968 = sum of:
    0.10859968 = weight(_text_:technological in 4695) [ClassicSimilarity], result of:
      0.10859968 = score(doc=4695,freq=2.0), product of:
        0.2312398 = queryWeight, product of:
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.043520276 = queryNorm
        0.46964094 = fieldWeight in 4695, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.0625 = fieldNorm(doc=4695)
  0.2 = coord(1/5)

Source

Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei

0.019249678 = product of:
  0.09624839 = sum of:
    0.09624839 = product of:
      0.19249678 = sum of:
        0.19249678 = weight(_text_:innovations in 4319) [ClassicSimilarity], result of:
          0.19249678 = score(doc=4319,freq=6.0), product of:
            0.2958964 = queryWeight, product of:
              6.7990475 = idf(docFreq=133, maxDocs=44218)
              0.043520276 = queryNorm
            0.6505546 = fieldWeight in 4319, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              6.7990475 = idf(docFreq=133, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4319)
      0.5 = coord(1/2)
  0.2 = coord(1/5)

Abstract

Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).

0.016289951 = product of:
  0.081449755 = sum of:
    0.081449755 = weight(_text_:technological in 5703) [ClassicSimilarity], result of:
      0.081449755 = score(doc=5703,freq=2.0), product of:
        0.2312398 = queryWeight, product of:
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.043520276 = queryNorm
        0.3522307 = fieldWeight in 5703, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.046875 = fieldNorm(doc=5703)
  0.2 = coord(1/5)

Abstract

This paper poses three questions regarding the planned development of the Simple Knowledge Organisation System (SKOS) towards W3C Recommendation status. Firstly, what is the fundamental purpose and therefore scope of SKOS? Secondly, which key software components depend on SKOS, and how do they interact? Thirdly, what is the wider technological and social context in which SKOS is likely to be applied and how might this influence design goals? Some tentative conclusions are drawn and in particular it is suggested that the scope of SKOS be restricted to the formal representation of controlled structured vocabularies intended for use within retrieval applications. However, the main purpose of this paper is to articulate the assumptions that have motivated the design of SKOS, so that these may be reviewed prior to a rigorous standardization initiative.

0.016289951 = product of:
  0.081449755 = sum of:
    0.081449755 = weight(_text_:technological in 3378) [ClassicSimilarity], result of:
      0.081449755 = score(doc=3378,freq=2.0), product of:
        0.2312398 = queryWeight, product of:
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.043520276 = queryNorm
        0.3522307 = fieldWeight in 3378, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.046875 = fieldNorm(doc=3378)
  0.2 = coord(1/5)

Abstract

Digital libraries have become commodity in the current world of Internet. More and more information is produced, and more and more non-digital information is being rendered available. The new, more user friendly, community-oriented technologies used throughout the Internet are raising the bar of expectations. Digital libraries cannot stand still with their technologies; if not for the sake of handling rapidly growing amount and diversity of information, they must provide for better user experience matching and overgrowing standards set by the industry. The next generation of digital libraries combine technological solutions, such as P2P, SOA, or Grid, with recent research on semantics and social networks. These solutions are put into practice to answer a variety of requirements imposed on digital libraries.

0.016068233 = product of:
  0.08034117 = sum of:
    0.08034117 = weight(_text_:publishing in 504) [ClassicSimilarity], result of:
      0.08034117 = score(doc=504,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.37785465 = fieldWeight in 504, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=504)
  0.2 = coord(1/5)

Abstract

This article introduces the Simple Knowledge Organisation System (SKOS), a Semantic Web language for representing controlled structured vocabularies, including thesauri, classification schemes, subject heading systems and taxonomies. SKOS provides a framework for publishing thesauri, classification schemes, and subject indexes on the Web, and for applying these systems to resource collections that are part of the SemanticWeb. SemanticWeb applications may harvest and merge SKOS data, to integrate and enhances retrieval service across multiple collections (e.g. libraries). This article also describes some alternatives for integrating Semantic Web services based on the Resource Description Framework (RDF) and SKOS into a distributed enterprise architecture.

0.016068233 = product of:
  0.08034117 = sum of:
    0.08034117 = weight(_text_:publishing in 4656) [ClassicSimilarity], result of:
      0.08034117 = score(doc=4656,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.37785465 = fieldWeight in 4656, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4656)
  0.2 = coord(1/5)

0.016068233 = product of:
  0.08034117 = sum of:
    0.08034117 = weight(_text_:publishing in 4684) [ClassicSimilarity], result of:
      0.08034117 = score(doc=4684,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.37785465 = fieldWeight in 4684, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4684)
  0.2 = coord(1/5)

Abstract

The Web Ontology Language OWL is a semantic markup language for publishing and sharing ontologies on the World Wide Web. OWL is developed as a vocabulary extension of RDF (the Resource Description Framework) and is derived from the DAML+OIL Web Ontology Language. This document contains a structured informal description of the full set of OWL language constructs and is meant to serve as a reference for OWL users who want to construct OWL ontologies.

0.016068233 = product of:
  0.08034117 = sum of:
    0.08034117 = weight(_text_:publishing in 4724) [ClassicSimilarity], result of:
      0.08034117 = score(doc=4724,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.37785465 = fieldWeight in 4724, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4724)
  0.2 = coord(1/5)

Abstract

Topic maps are a new ISO standard for describing knowledge structures and associating them with information resources. As such they constitute an enabling technology for knowledge management. Dubbed "the GPS of the information universe", topic maps are also destined to provide powerful new ways of navigating large and interconnected corpora. While it is possible to represent immensely complex structures using topic maps, the basic concepts of the model - Topics, Associations, and Occurrences (TAO) - are easily grasped. This paper provides a non-technical introduction to these and other concepts (the IFS and BUTS of topic maps), relating them to things that are familiar to all of us from the realms of publishing and information management, and attempting to convey some idea of the uses to which topic maps will be put in the future.

0.016068233 = product of:
  0.08034117 = sum of:
    0.08034117 = weight(_text_:publishing in 3293) [ClassicSimilarity], result of:
      0.08034117 = score(doc=3293,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.37785465 = fieldWeight in 3293, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3293)
  0.2 = coord(1/5)

Abstract

Ontology engineering encompasses the method, tools and techniques used to develop ontologies. Without requiring ontologies, linked data is driving a paradigm shift, bringing benefits and drawbacks to the publishing world. Ontologies may be heavyweight, supporting deep understanding of a domain, or lightweight, suited to simple classification of concepts and more adaptable for linked data. They also vary in domain specificity, usability and reusabilty. Hybrid vocabularies drawing elements from diverse sources often suffer from internally incompatible semantics. To serve linked data purposes, ontology engineering teams require a range of skills in philosophy, computer science, web development, librarianship and domain expertise.

0.016068233 = product of:
  0.08034117 = sum of:
    0.08034117 = weight(_text_:publishing in 3939) [ClassicSimilarity], result of:
      0.08034117 = score(doc=3939,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.37785465 = fieldWeight in 3939, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3939)
  0.2 = coord(1/5)

Imprint

Cham : Springer International Publishing

0.013772773 = product of:
  0.06886386 = sum of:
    0.06886386 = weight(_text_:publishing in 6033) [ClassicSimilarity], result of:
      0.06886386 = score(doc=6033,freq=2.0), product of:
        0.21262453 = queryWeight, product of:
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.043520276 = queryNorm
        0.32387543 = fieldWeight in 6033, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.885643 = idf(docFreq=907, maxDocs=44218)
          0.046875 = fieldNorm(doc=6033)
  0.2 = coord(1/5)

Content

Programm mit Links auf die Präsentationen: Armando Stellato, Ahsan Morshed, Gudrun Johannsen, Yves Jacques, Caterina Caracciolo, Sachit Rajbhandari, Imma Subirats, Johannes Keizer: A Collaborative Framework for Managing and Publishing KOS - Christian Mader, Bernhard Haslhofer: Quality Criteria for Controlled Web Vocabularies - Ahsan Morshed, Benjamin Zapilko, Gudrun Johannsen, Philipp Mayr, Johannes Keizer: Evaluating approaches to automatically match thesauri from different domains for Linked Open Data - Johan De Smedt: SKOS extensions to cover mapping requirements - Mark Tomko: Translating biological data sets Into Linked Data - Daniel Kless: Ontologies and thesauri - similarities and differences - Antoine Isaac, Jacco van Ossenbruggen: Europeana and semantic alignment of vocabularies - Douglas Tudhope: Complementary use of ontologies and (other) KOS - Wilko van Hoek, Brigitte Mathiak, Philipp Mayr, Sascha Schüller: Comparing the accuracy of the semantic similarity provided by the Normalized Google Distance (NGD) and the Search Term Recommender (STR) - Denise Bedford: Selecting and Weighting Semantically Discovered Concepts as Social Tags - Stella Dextre Clarke, Johan De Smedt. ISO 25964-1: a new standard for development of thesauri and exchange of thesaurus data

0.01357496 = product of:
  0.0678748 = sum of:
    0.0678748 = weight(_text_:technological in 5204) [ClassicSimilarity], result of:
      0.0678748 = score(doc=5204,freq=2.0), product of:
        0.2312398 = queryWeight, product of:
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.043520276 = queryNorm
        0.29352558 = fieldWeight in 5204, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3133807 = idf(docFreq=591, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5204)
  0.2 = coord(1/5)

Abstract

This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.