Google Patents: The global patent search engine
نویسندگان
چکیده
Google Patents (www.google.com/patents) includes over 8 million full-text patents. Google Patents works in the same way as the Google search engine. Google Patents is the global patent search engine that lets users search through patents from the USPTO (United States Patent and Trademark Office), EPO (European Patent Office), etc. This study begins with an overview of how to use Google Patent and identifies advanced search techniques not well-documented by Google Patent. It makes several suggestions for improving Google Patents. This study also compares the citation counts provided by Google Patents for journals in the field of library and information science (LIS). Finally, it concludes that Google Patents provides a free alternative or complement to other patent databases. It also addressed the advantages of Google Patents, for example, easy-use search interface and fast search engine; convenient access to patent images in PDF format; and fast downloads of PDF patent documents.
منابع مشابه
An advanced search engine for patent analytics in medicinal chemistry
Patent collections contain an important amount of medical-related knowledge, but existing tools were reported to lack of useful functionalities. We present here the development of TWINC, an advanced search engine dedicated to patent retrieval in the domain of health and life sciences. Our tool embeds two search modes: an ad hoc search to retrieve relevant patents given a short query and a relat...
متن کاملExploratory Patent Search with Faceted Search and Configurable Entity Mining
Searching for patents is usually a recall-oriented problem and depending on the patent search type, quite often a problem which is characterized by uncertainty and evolution or change of the information need. We propose an exploratory strategy for patent search that exploits the metadata already available in patents in addition to the results of clustering and entity mining that are performed a...
متن کاملNTCIR-7 Patent Mining Experiments at RALI
We participated in the patent mining task at NTCIR7 workshop. Particularly, our experiments focus on English corpus. Based on the Indri search engine, we implemented a patent classification system, which is able to assign a research paper into the IPC system according to the annotated patents in the database. As the task is a cross-genre classification task, we tried several methods to bridge t...
متن کاملThe Impact of Spelling Errors on Patent Search
The search in patent databases is a risky business compared to the search in other domains. A single document that is relevant but overlooked during a patent search can turn into an expensive proposition. While recent research engages in specialized models and algorithms to improve the effectiveness of patent retrieval, we bring another aspect into focus: the detection and exploitation of paten...
متن کاملDeveloping Semantic Search for the Patent Domain
The patent domain is a very important source of scientific information that is currently not used to its full potential. Issues such as high numbers of patents, complicated language style and inconsistently used vocabulary make the task of searching for relevant patents extremely complex. While this is already a problem for patent professionals who have to invest a lot of time and effort into t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Webology
دوره 11 شماره
صفحات -
تاریخ انتشار 2014