Patent Information Retrieval: Approaching a Method and Analyzing Nanotechnology Patent Collaborations

ArticleThis is the final version of the article. Available from Springer Verlag via the DOI in this record.Many challenges still remain in the processing of explicit technological knowledge documents such as patents. Given the limitations and drawbacks of the existing approaches, this research sets out to develop an improved method for searching patent databases and extracting patent information to increase the efficiency and reliability of nanotechnology patent information retrieval process and to empirically analyse patent collaboration. A tech-mining method was applied and the subsequent analysis was performed using Thomson data analyser software. The findings show that nations such as Korea and Japan are highly collaborative in sharing technological knowledge across academic and corporate organisations within their national boundaries, and China presents, in some cases, a great illustration of effective patent collaboration and co-inventorship. This study also analyses key patent strengths by country, organisation and technology

The Industry R&D Survey – Patent Database Link Project

This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Industry R&D Survey conducted by the Census Bureau and National Science Foundation. The developed platform offers an unprecedented view of the R&D-to-patenting innovation process and a close analysis of the strengths and limitations of the Industry R&D Survey. The files are linked through a name-matching algorithm customized for uniting the firm names to which patents are assigned with the firm names in Census Bureau’s SSEL business registry. Through the Census Bureau’s file structure, this R&D platform can be linked to the operating performances of each firm’s establishments, further facilitating innovation-to-productivity studies.innovation, research and development, patents, scientists, technology

A hybrid similarity measure method for patent portfolio analysis

© 2016 Elsevier Ltd 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

Environmental Performance, Innovation and Regional Spillovers

The achievement of positive Environmental Performance (EP) at national level could strongly depend on differences in regional features, namely economic specialization, regulation stringency and innovation capabilities of both public institutions and the private business sector. We apply both shift-share and econometric analysis on a new NAMEA available for the 20 Italian Regions, in order to provide evidence of the role played by sector innovation, technological spillovers and regional policies in shaping the geographical distribution of EP. The Italian North-South divide regarding industrial development and productive specialisation patterns seems to affect regional EP. Nonetheless, such pattern presents some interesting differences, revealing a more heterogeneous distribution of emissions, which may reflect the role of other driving forces. In particular, agglomerative effects seem to prevail over purely internal factors - environmental efficiency of neighbouring regions strongly influence the internal EP. This means that together with the clustering of specific sectors into restricted areas as a standard result in regional economics, there is also some convergence in the adoption of cleaner or dirtier production process techniques. Finally, regional technological spillovers seem to play a more effective role in improving environmental efficiency than "sector internal innovation", revealing that accounting for spatial features is crucial to understand the key drivers of EP.Environmental Performance; Technological Innovation; Regional Spillovers; regional NAMEA

Bibliometric cartography of information retrieval research by using co-word analysis

The aim of this study is to map the intellectual structure of the field of Information Retrieval (IR) during the period of 1987-1997. Co-word analysis was employed to reveal patterns and trends in the IR field by measuring the association strengths of terms representative of relevant publications or other texts produced in IR field. Data were collected from Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. In addition to the keywords added by the SCI and SSCI databases, other important keywords were extracted from titles and abstracts manually. These keywords were further standardized using vocabulary control tools. In order to trace the dynamic changes of the IR field, the whole 11-year period was further separated into two consecutive periods: 1987-1991 and 1992-1997. The results show that the IR field has some established research themes and it also changes rapidly to embrace new themes

What are patents revealing?

Metzger, P., Mendonça, S., Silva, J. A., & Damásio, B. (2023). Battery innovation and the Circular Economy: What are patents revealing? Renewable Energy, 209(June), 516-532. https://doi.org/10.1016/j.renene.2023.03.132---Funding: Bruno Damásio and Philipp Metzger acknowledge the financial support provided by Fundac̨ão para a Ciência e a Tecnologia, Portugal (FCT) under the project UIDB/04152/2020 — Centro de Investigação em Gestão de Informação (MagIC). Sandro Mendonça acknowledges support by FCT, Portugal, by the Business Research Unit (BRU-IUL) and by UECE-REM (Research Unit on Complexity and Economics). BRU-IUL also benefited from grants UID/GES/00315/2013, UIDB/00315/2020; UIDB/05069/2020; PTDC/EGE-ECO/30690/2017 and is part of the project PTDC/EGE-ECO/30690/2017. José Silva acknowledges FCT support under the project UIDB/50019/2020–IDL.This analysis of over 90,000 secondary battery innovations (measured by international patent families) provides a comprehensive account of the long-run progress of a knowledge base with a key role in the transition to a transformative, closed-loop, Circular Economy. Innovation accelerated globally from 2000 to 2019, a sustained dynamic mostly originating in Asia. Patterns of less toxicity and more diversity in technological trajectories are detected and found to bear evidence of pro-circularity. We find a number of emergent technological trajectories, such as solid-state, lithium-sulfur, redox-flow and sodium-ion batteries, each one with a different potential to push ahead the circularity pathway, and which allow for the detection of country clusters. Through a methodology that can be of interest for further research, we examine the extent to which batteries have circular characteristics.publishersversionpublishe

Patent data driven innovation logic

Innovation research is conventionally conducted with creativity techniques such as TRIZ, Mind Mapping, Brainstorming, etc. (Dewulf, Baillie 1998). Patent research is typically used to research novelty or prior art, and legal studies. This thesis is at the intersection of creativity techniques, and patent data analysis. It describes how to utilise patent data for distilling Innovation Logic and conducting innovation research. Using the patent research tool PatentInspiration (© AULIVE Software NV), the 4 different stages of the Innovation Logic approach have been subjected to text analysis in patent literature. The specific text patterns were identified and documented on several case studies, with one case study across the whole thesis: the toothbrush. The opportunities and limitations of Patent Data Driven Innovation Research have been documented and discussed. This methodology has been demonstrated within a proposed structural approach to problem solving, technology marketing and innovation research. Furthermore, the potential of artificial idea generation and artificial creativity was examined and debated for the purpose of computer aided creativity. This thesis examines and confirms three claims: CLAIM 1: PROPERTIES AND FUNCTIONS CAN BE ADJECTIVES AND VERBS IN PATENT LITERATURE CLAIM 2: PATENT DATA ANALYSIS AUGMENTS THE FULL INNOVATION LOGIC PROCESS CLAIM 3: ARTIFICIAL INNOVATION METHODS CAN BE FUELED BY PATENT DATA Patent data can be text mined, acting as a global brain consisting of over 100 million invention documents. It is possible to use this existing data to reverse engineer thinking methodologies, allowing scientists and engineers to solve new problems, invent new products or processes, or find new markets for existing technologies. Patent Data Driven Innovation Logic will demonstrate a systematic innovation approach that combines the force of contemporary data mining methods on patent literature, with a structured innovation research methodology.Open Acces

Enviromental Performance and Regional Innovation Spillovers

The achievement of positive environmental performance at national level could strongly depend on differences in local capabilities of both institutions and the private business sector. Environmental regulation alone is a weak instrument if the institutional and business environment cannot transform regulation strengths into opportunities. In this paper, we use the new environmental accounting matrix for polluting emissions now available for the 20 Italian Regions that covers 24 sectors and combines a shift-share approach with spatial econometric modelling. We provide evidence of the role played by internal innovation, innovation spillovers and regional policies in shaping the geographical distribution of environmental performance achievements.Environmental Performance, Technological Innovation, Regional Spillovers, Polluting Emissions, Italian Regions

The generation of problem-focussed patent clusters: a comparative analysis of crowd intelligence with algorithmic and expert approaches

This paper presents a new crowdsourcing approach to the construction of patent clusters, and systematically benchmarks it against previous expert and algorithmic approaches. Patent databases should be rich sources of inspiration which could lead engineering designers to novel solutions for creative problems. However, the sheer volume and complexity of patent information means that this potential is rarely realised. Rather than the keyword driven searches common in commercial systems, designers need tools that help them to understand patents in the context of the problem they are considering. This paper presents an approach to address this problem by using crowd intelligence for effective generation of patent clusters at lower cost and with greater rationale. A systematic study was carried out to compare the crowd’s efficiency with both expert and algorithmic patent clusters, with the results indicating that the crowd was able to create 80% more patent pairs with appropriate rationale