کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6934408 868520 2016 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hybrid similarity measure method for patent portfolio analysis
ترجمه فارسی عنوان
روش اندازه گیری ترکیبی برای تجزیه و تحلیل نمونه کارها ثبت اختراع
کلمات کلیدی
تجزیه و تحلیل ثبت اختراع، اندازه گیری مشابهی استخراج متن، کتابشناختی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Similarity measures are fundamental tools for identifying relationships within or across patent portfolios. Many bibliometric indicators are used to determine similarity measures; for example, bibliographic coupling, citation and co-citation, and co-word distribution. This paper aims to construct a hybrid similarity measure method based on multiple indicators to analyze patent portfolios. Two models are proposed: categorical similarity and semantic similarity. The categorical similarity model emphasizes international patent classifications (IPCs), while the semantic similarity model emphasizes textual elements. We introduce fuzzy set routines to translate the rough technical (sub-) categories of IPCs into defined numeric values, and we calculate the categorical similarities between patent portfolios using membership grade vectors. In parallel, we identify and highlight core terms in a 3-level tree structure and compute the semantic similarities by comparing the tree-based structures. A weighting model is designed to consider: 1) the bias that exists between the categorical and semantic similarities, and 2) the weighting or integrating strategy for a hybrid method. A case study to measure the technological similarities between selected firms in China's medical device industry is used to demonstrate the reliability our method, and the results indicate the practical meaning of our method in a broad range of informetric applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 10, Issue 4, November 2016, Pages 1108-1130
نویسندگان
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