Search (2 results, page 1 of 1)

Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.02

0.023009777 = product of:
  0.046019554 = sum of:
    0.046019554 = sum of:
      0.010258123 = weight(_text_:a in 40) [ClassicSimilarity], result of:
        0.010258123 = score(doc=40,freq=14.0), product of:
          0.043477926 = queryWeight, product of:
            1.153047 = idf(docFreq=37942, maxDocs=44218)
            0.037706986 = queryNorm
          0.23593865 = fieldWeight in 40, product of:
            3.7416575 = tf(freq=14.0), with freq of:
              14.0 = termFreq=14.0
            1.153047 = idf(docFreq=37942, maxDocs=44218)
            0.0546875 = fieldNorm(doc=40)
      0.03576143 = weight(_text_:22 in 40) [ClassicSimilarity], result of:
        0.03576143 = score(doc=40,freq=2.0), product of:
          0.13204344 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.037706986 = queryNorm
          0.2708308 = fieldWeight in 40, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0546875 = fieldNorm(doc=40)
  0.5 = coord(1/2)

Abstract: Conclusion There is a reason why Google Scholar and Web of Science/Scopus are kings of the hills in their various arenas. They have strong brand recogniton, a head start in development and a mass of eyeballs and users that leads to an almost virtious cycle of improvement. Competing against such well established competitors is not easy even when one has deep pockets (Microsoft) or a killer idea (scite). It will be interesting to see how the landscape will look like in 2030. Stay tuned for part II where I review each particular index.
Date: 17.11.2020 12:22:59
Type: a

Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020) 0.00
```
0.0018577921 = product of:
  0.0037155843 = sum of:
    0.0037155843 = product of:
      0.0074311686 = sum of:
        0.0074311686 = weight(_text_:a in 38) [ClassicSimilarity], result of:
          0.0074311686 = score(doc=38,freq=10.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.1709182 = fieldWeight in 38, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=38)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
```
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.

Type

a

Search (2 results, page 1 of 1)

Authors