Search (4 results, page 1 of 1)

  • × author_ss:"Peroni, S."
  1. Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020) 0.02 
    0.022082468 = product of:
  0.088329874 = sum of:
    0.03628967 = weight(_text_:web in 38) [ClassicSimilarity], result of:
      0.03628967 = score(doc=38,freq=6.0), product of:
        0.096845865 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.029675366 = queryNorm
        0.37471575 = fieldWeight in 38, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=38)
    0.052040204 = weight(_text_:data in 38) [ClassicSimilarity], result of:
      0.052040204 = score(doc=38,freq=14.0), product of:
        0.093835 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.029675366 = queryNorm
        0.55459267 = fieldWeight in 38, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=38)
  0.25 = coord(2/8)
    Abstract
    A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontology terms with different nuances, generates inconsistencies in data. Adoption of a single data model would facilitate data integration tasks regardless of the data supplier or context application. In this paper we present the OpenCitations Data Model (OCDM), a generic data model for describing bibliographic entities and citations, developed using Semantic Web technologies. We also evaluate the effective reusability of OCDM according to ontology evaluation practices, mention existing users of OCDM, and discuss the use and impact of OCDM in the wider open science community.
    Content
    Erschienen in: The Semantic Web - ISWC 2020, 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II. Vgl.: DOI: 10.1007/978-3-030-62466-8_28.
  2. Iorio, A. di; Peroni, S.; Vitali, F.: ¬A Semantic Web approach to everyday overlapping markup (2011) 0.01 
    0.013355484 = product of:
  0.053421937 = sum of:
    0.03024139 = weight(_text_:web in 4749) [ClassicSimilarity], result of:
      0.03024139 = score(doc=4749,freq=6.0), product of:
        0.096845865 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.029675366 = queryNorm
        0.3122631 = fieldWeight in 4749, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4749)
    0.023180548 = weight(_text_:data in 4749) [ClassicSimilarity], result of:
      0.023180548 = score(doc=4749,freq=4.0), product of:
        0.093835 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.029675366 = queryNorm
        0.24703519 = fieldWeight in 4749, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4749)
  0.25 = coord(2/8)
    Abstract
    Overlapping structures in XML are not symptoms of a misunderstanding of the intrinsic characteristics of a text document nor evidence of extreme scholarly requirements far beyond those needed by the most common XML-based applications. On the contrary, overlaps have started to appear in a large number of incredibly popular applications hidden under the guise of syntactical tricks to the basic hierarchy of the XML data format. Unfortunately, syntactical tricks have the drawback that the affected structures require complicated workarounds to support even the simplest query or usage. In this article, we present Extremely Annotational Resource Description Framework (RDF) Markup (EARMARK), an approach to overlapping markup that simplifies and streamlines the management of multiple hierarchies on the same content, and provides an approach to sophisticated queries and usages over such structures without the need of ad-hoc applications, simply by using Semantic Web tools and languages. We compare how relevant tasks (e.g., the identification of the contribution of an author in a word processor document) are of some substantial complexity when using the original data format and become more or less trivial when using EARMARK. We finally evaluate positively the memory and disk requirements of EARMARK documents in comparison to Open Office and Microsoft Word XML-based formats.
    Theme
    Semantic Web
  3. Peroni, S.; Dutton, A.; Gray, T.; Shotton, D.: Setting our bibliographic references free : towards open citation data (2015) 0.01 
    0.00549775 = product of:
  0.043982 = sum of:
    0.043982 = weight(_text_:data in 1790) [ClassicSimilarity], result of:
      0.043982 = score(doc=1790,freq=10.0), product of:
        0.093835 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.029675366 = queryNorm
        0.46871632 = fieldWeight in 1790, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=1790)
  0.125 = coord(1/8)
    Abstract
    Purpose - Citation data needs to be recognised as a part of the Commons - those works that are freely and legally available for sharing - and placed in an open repository. The paper aims to discuss this issue. Design/methodology/approach - The Open Citation Corpus is a new open repository of scholarly citation data, made available under a Creative Commons CC0 1.0 public domain dedication and encoded as Open Linked Data using the SPAR Ontologies. Findings - The Open Citation Corpus presently provides open access (OA) to reference lists from 204,637 articles from the OA Subset of PubMed Central, containing 6,325,178 individual references to 3,373,961 unique papers. Originality/value - Scholars, publishers and institutions may freely build upon, enhance and reuse the open citation data for any purpose, without restriction under copyright or database law.
  4. Iorio, A.D.; Peroni, S.; Poggi, F.; Vitali, F.: Dealing with structural patterns of XML documents (2014) 0.00 
    0.0015077259 = product of:
  0.012061807 = sum of:
    0.012061807 = product of:
      0.024123615 = sum of:
        0.024123615 = weight(_text_:22 in 1345) [ClassicSimilarity], result of:
          0.024123615 = score(doc=1345,freq=2.0), product of:
            0.103918076 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.029675366 = queryNorm
            0.23214069 = fieldWeight in 1345, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=1345)
      0.5 = coord(1/2)
  0.125 = coord(1/8)
    Date
    22. 8.2014 17:08:49

Authors

Years

Types

Themes