Patinformatics: Tasks to tools

Trippe, Anthony J.

doi:10.1016/s0172-2190(03)00079-6

Cited by 91 publications

(38 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A review of patent search and information extraction literature exposed a dearth of literature on function extraction and concept generation from patents in general. Much of the literature is related to the topics of patent invalidity searches and patent informatics [66,67], but the same information extraction principles will be applied for deriving the patent functionality.…”

Section: Patent Datasetsmentioning

confidence: 99%

Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search

Murphy

Otto

et al. 2014

Journal of Mechanical Design

102

View full text Add to dashboard Cite

Design-by-analogy is a powerful approach to augment traditional concept generation methods by expanding the set of generated ideas using similarity relationships from solutions to analogous problems. While the concept of design-by-analogy has been known for some time, few actual methods and tools exist to assist designers in systematically seeking and identifying analogies from general data sources, databases, or repositories, such as patent databases. A new method for extracting functional analogies from data sources has been developed to provide this capability, here based on a functional basis rather than form or conflict descriptions. Building on past research, we utilize a functional vector space model (VSM) to quantify analogous similarity of an idea's functionality. We quantitatively evaluate the functional similarity between represented design problems and, in this case, patent descriptions of products. We also develop document parsing algorithms to reduce text descriptions of the data sources down to the key functions, for use in the functional similarity analysis and functional vector space modeling. To do this, we apply Zipf's law on word count order reduction to reduce the words within the documents down to the applicable functionally critical terms, thus providing a mapping process for function based search. The reduction of a document into functional analogous words enables the matching to novel ideas that are functionally similar, which can be customized various ways. This approach thereby provides relevant sources of design-byanalogy inspiration. As a verification of the approach, two original design problem case studies illustrate the distance range of analogical solutions that can be extracted. This range extends from very near-field, literal solutions to far-field cross-domain analogies.

show abstract

Section: Patent Datasetsmentioning

confidence: 99%

Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search

Murphy

Otto

et al. 2014

Journal of Mechanical Design

102

View full text Add to dashboard Cite

show abstract

“…Another benefit of functional models is the ability to standardize, allowing for the archiving and retrieval of design knowledge, for which a number of systems have been developed (Szykman et al 1999(Szykman et al , 2000Bohm et al 2005Bohm et al , 2008. Computational design tools have been developed to use the design knowledge contained in these functional repositories for concept variant generation techniques (Terpenny and Mathew 2004;Potter et al 2003;Hölttä-Otto et al 2008;Van Wie et al 2005;Kurtoglu et al 2009).…”

Section: Functional Modelingmentioning

confidence: 99%

Design-by-analogy: experimental evaluation of a functional analogy search methodology for concept generation improvement

Murphy

Yang

et al. 2014

Res Eng Design

View full text Add to dashboard Cite

Design-by-analogy is a growing field of study and practice, due to its power to augment and extend traditional concept generation methods by expanding the set of generated ideas using similarity relationships from solutions to analogous problems. This paper presents the results of experimentally testing a new method for extracting functional analogies from general data sources, such as patent databases, to assist designers in systematically seeking and identifying analogies. In summary, the approach produces significantly improved results on the novelty of solutions generated and no significant change in the total quantity of solutions generated. Computationally, this design-by-analogy facilitation methodology uses a novel functional vector space representation to quantify the functional similarity between represented design problems and, in this case, patent descriptions of products. The mapping of the patents into the functional analogous words enables the generation of functionally relevant novel ideas that can be customized in various ways. Overall, this approach provides functionally relevant novel sources of design-byanalogy inspiration to designers and design teams.

show abstract

“…TrendPerceptor [7] is designed to identify TRIZ (Russian Acronym of the Theory of Inventive Problem Solving) trends in invention concepts by using a propertyfunction-based approach. VantagePoint and Aureka are another two intelligent systems that support users in analysing trends or relationships by providing clustering, mapping and searching techniques [8,9]. There are also some applications built based on bibliometric approaches [12], for instance, a visualization system called Diva was proposed to perform bibliometric analysis of scientific literature and patents for trend presentation [16].…”

Section: Technology Intelligencementioning

confidence: 99%

“…Just like Business Intelligence to support business decision making, technology intelligence is promising to turn "data" found in patents or scientific literatures into "knowledge", and help users survive data tsunamis and eventually, to succeed in strategy making [6]. Existing frameworks and applications of technology intelligence, such as Techpioneer [4], TrendPerceptor [7], VantagePoint [8] and Aureka [9], are mainly constructed on the fundamentals of semantic properties of patent documents or scientific literatures. Techniques such as information extraction, text clustering and classification are used to access knowledge hidden in massive documents efficiently, which makes a great progress in technology intelligence design and implementation.…”

Section: Introductionmentioning

confidence: 99%

A patent time series processing component for technology intelligence by trend identification functionality

Chen

Zhang

Zhu

et al. 2014

Neural Comput & Applic

View full text Add to dashboard Cite

Abstract:Technology intelligence indicates the concept and applications that transform data hidden in patents or scientific literatures into technical insight for technology strategy-making support. The existing frameworks and applications of technology intelligence mainly focus on obtaining text-based knowledge with text mining components. However, what is the corresponding technological trend of the knowledge over time is seldom taken into consideration. In order to capture the hidden trend turning points and improve the framework of existing technology intelligence, this paper proposes a patent time series processing component with trend identification functionality. We use piecewise linear representation method to generate and quantify the trend of patent publication activities, then utilize the outcome to identify trend tuning points and provide trend tags to the existing text mining component, thus making it possible to combine the text-based and time-based knowledge together to support technology strategy making more satisfactorily. A case study using Australia patents (1983 to 2012) in Information and Communications Technology industry is presented to demonstrate the feasibility of the component when dealing with realworld tasks. The result shows that the new component identifies the trend reasonably well, at the same time learns valuable trend turning points in historical patent time series.

show abstract

Patinformatics: Tasks to tools

Cited by 91 publications

References 5 publications

Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search

Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search

Design-by-analogy: experimental evaluation of a functional analogy search methodology for concept generation improvement

A patent time series processing component for technology intelligence by trend identification functionality

Contact Info

Product

Resources

About