Patent information retrieval refers to the process of selecting documents or information that meet specific requirements from a large number of patent documents or patent databases according to one or several characteristics. Simply put, patent information retrieval is the search for patent information. Patent information retrieval is a complex work, which is composed of many factors.
Patent technical information retrieval refers to the retrieval of patent documents from any technical subject, with the aim of finding relevant references. Such as: data quantity, data characteristics, retrieval system, retrieval mode, retrieval entrance, retrieval type, retrieval purpose, retrieval scope, retrieval skills and retrieval experience.
The information characteristics of patent technology information retrieval mainly include: subject words and IPC numbers, sometimes supplemented by patent-related people and dates. The documents obtained by patent technology information retrieval are called reference documents. Patent technical scheme retrieval refers to the technical scheme of invention and creation, as well as all kinds of public publications around the world, including patent documents, in order to find out the documents that can be compared with novelty and creativity.
Determine whether the technical scheme of invention and creation is novel and creative. The information features of patent technical scheme retrieval mainly include: subject words and IPC classification number, sometimes supplemented by the inventor's name. The files retrieved by this patent technical scheme are called comparison files. The retrieval required to judge the patentability of technology belongs to the patent technology scheme retrieval.
Patent information retrieval data resources:
1, IncoPat completely collected more than 1 100 million pieces of patent basic data from 102 countries/organizations/regions around the world, and specially collected and processed patent data from 22 major countries, with more perfect data fields and higher data quality.
2. Translate the title abstracts of major countries by machine and provide searchable multilingual title abstracts.
3, according to the different aliases, translations, parent company and subsidiary names of key enterprises and institutions, establish a standardized table of applicant name codes.
4. The legal status, family information and citation information of patents at home and abroad are deeply processed, which enriches the domain information.
5. Linking legal information such as patent litigation, transfer, license, pledge and invalidation of reexamination between China and the United States with patent documents to realize big data fusion and facilitate multi-dimensional analysis and value mining of patents.
6. Update the latest patents published at home and abroad every week, which is faster than similar domestic systems and supports users to master the latest technology in time.