The patent mining task in the seventh NTCIR workshop

Nanba, Hidetsugu; Fujii, Atsushi; Iwayama, Makoto; Hashimoto, Taiichi

doi:10.1145/1458572.1458580

Cited by 20 publications

(13 citation statements)

References 2 publications

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“…Information sources in this study were the NTCIR test collections compiled by the National Institute of Informatics (NII), Japan, and we used the full text of the "patent gazette (publication of unexamined patent applications)" published in Japan; the 3,496,253 documents published in the ten years between 1993 and 2002 from NTCIR-7 Patent Mining Test Collection (Nanba et al, 2008); and the 1,757,361 documents published in the five years between 2003 and 2007 from NTCIR-8 Patent Translation Test Collection (Fujii et al, 2010). Approximately 350,000 documents were published in each of these years.…”

Section: Datamentioning

confidence: 99%

Comparative Analysis of Patent Citations of Different Fields: In Consideration of the Data Size Dependency of Statistical Measures

Yoshikane

2014

Procedia - Social and Behavioral Sciences

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This study focused on the classifications assigned to patents, and examined the number of different classifications of patents citing each patent, namely the diversity of citing fields. Specifically, we observed the expected values for growth in the average number of citing fields according to the increase in the data size (i.e., the cumulative number of citations) when regarding the observation period as being in a synchronic state and assuming that the strength of potential connections between each subject patent and citing fields is constant. A total of 347,327 patent applications published in Japan in 1993 were subjected to the analysis. The results of comparisons between fields showed that, irrespective of the cumulative number of citations, the transition of the diversity of citing fields is stable with higher values in the fields of "performing operations; transporting," "chemistry; metallurgy," and "textiles; paper" (sections B, C, and D of the International Patent Classification), while it is stable with lower values in the field of "fixed constructions" (section E). Moreover, as for the field of electricity (section H), it was found that the growth rate of the diversity of citing fields is markedly slow-in other words, a patent in this field tends to receive citations repeatedly from the same fields as before and to be hardly ever cited by patents belonging to fields different from them even when the cumulative number of citations increases.

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Section: Datamentioning

confidence: 99%

Comparative Analysis of Patent Citations of Different Fields: In Consideration of the Data Size Dependency of Statistical Measures

Yoshikane

2014

Procedia - Social and Behavioral Sciences

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“…Work in this domain has been encouraged through evaluation campaigns, first through the NII 10 Test Collection for IR Systems (NTCIR) [57,60,93,145,146], and later through the Text Retrieval Conference (TREC) (for the chemical domain [129]) and continuing at the moment of writing this review, through the Cross-Language Evaluation Forum (CLEF) [156,157,158,161].…”

Section: Sources Of Knowledgementioning

confidence: 99%

Patent Retrieval

Lupu¹

2013

FNT in Information Retrieval

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“…In this study, the ''patent gazette (publication of unexamined patent applications)'' was used as the source, because its tagged text data are released to the public and can be easily obtained. Using the NTCIR-7 Patent Mining Test Collection (Nanba et al 2008) compiled by the National Institute of Informatics (NII), Japan, as the source data, the data on 3,496,253 patent applications were analyzed on the basis of the full text of the ''patent gazette (publication of unexamined patent applications)'' published in Japan from 1993 to 2002 (approximately 350,000 applications per year). The publication number, the application number, the year of publication, the classifications assigned according to International Patent Classification (IPC), and the publication and application numbers of cited patents (patents being cited in the patent concerned) were extracted from each patent record.…”

Section: Source Datamentioning

confidence: 99%

Analysis of the relationship between citation frequency of patents and diversity of their backward citations for Japanese patents

2011

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Conventional patent citation analyses have focused mainly on the presence of citation relationships, the number of patents cited by the subject patent, and the number of times the subject patent is cited by others (i.e., the numbers of backward and forward citations of the subject patent). However, most of them have not focused on patent classifications. Assuming that a patent based on a variety of technological bases tends to be an important patent that is cited more often, this study examines and clarifies the relationship between the diversity of classifications assigned to backward citations and the number of forward citations for Japanese patents. The results show notable differences in the number of classifications assigned to backward citations between the often cited and less frequently cited groups. It is considered that the diversity of backward citations can be utilized in the evaluation criteria for grouping that roughly identifies the often cited patents or eliminates a large part of less frequently cited patents.

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The patent mining task in the seventh NTCIR workshop

Cited by 20 publications

References 2 publications

Comparative Analysis of Patent Citations of Different Fields: In Consideration of the Data Size Dependency of Statistical Measures

Comparative Analysis of Patent Citations of Different Fields: In Consideration of the Data Size Dependency of Statistical Measures

Patent Retrieval

Analysis of the relationship between citation frequency of patents and diversity of their backward citations for Japanese patents

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