2019
DOI: 10.5465/ambpp.2019.12735abstract
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Approximating the Standard Essentiality of Patents - A Semantics-Based Analysis

Abstract: Standard-essential patents (SEPs) have become a key element of technical coordination in standard-setting organizations. Yet, in many cases, it remains unclear whether a declared SEP is truly standard-essential. To date, there is no automated procedure that allows for a scalable and objective assessment of SEP status. This paper introduces a semantics-based method for approximating the standard essentiality of patents. We provide details on the procedure that generates the measure of standard essentiality and … Show more

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Cited by 3 publications
(4 citation statements)
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“…In fact, small‐scale evidence suggests that semantic similarity also predicts true essentiality for SEPs declared at IEEE and ITU‐T (Brachtendorf et al, 2020). …”
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confidence: 99%
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“…In fact, small‐scale evidence suggests that semantic similarity also predicts true essentiality for SEPs declared at IEEE and ITU‐T (Brachtendorf et al, 2020). …”
mentioning
confidence: 99%
“…However, there are some subtle differences in how to interpret them.Whereas the former can be considered as a measure independent from other patents and comparable across standards, the similarity rank provides the standard-specific order of the most similar patents.26 The similarity data are freely available to researchers as part of the Semantic similarity of patent-standard pairs (ETSI, IEEE, and ITUT) database: https://doi.org/10.7910/DVN/B2RJSX. For more information on the database, seeBrachtendorf et al (2020).27 We focus on all patents with a similarity score of at least 0.6 and a similarity rank of 5 or lower. We further restrict the set of patents to those that have at least one family member granted at the EPO or the USPTO, because patent holders are unlikely to declare rejected patent applications as SEPs.28 At the same time, more than 80% of the non-SEPs are part of patent portfolios with at least one declared SEP.…”
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confidence: 99%
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“…Brachtendorf et al (2019) pursues a similar approach based on automated text analysis.47 We do not have strong priors as to whether the claims in a continuation would be "broader" or "narrower" than the claims in its parent: this likely depends on the (unobserved) relationship of the original claims to the standard. For this reason, we do not analyze text-based measures of claim scope.48 We use all the families of SEPs in our data and adapt the procedure described inArts et al (2018) to extract a set of unique keywords from the claims of each application.…”
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confidence: 99%