Patent Search India - Prior art search By Skilled Professionals.

A good professional lookup will be far more thorough than any search an untrained individual will be able to conduct.

Main points of a prior art search by TT CONSULTANTS skilled professionals:

• Key terms search

Identification of analogous terms with regards to your proposed invention is mandatory. Specialized jargon features its own importance while conducting key phrases search.

• Classification codes search
Recognize applicable patent classification codes related to your invention. Presently, commercial patent search databases have accessibility to utilize IPC-R (IPC amended) version and US classification maintained by WIPO. This facility allows executing a dynamic research by collating advanced level; subclass level; primary level and/or innovation level searches.

• Mixed search (classification codes+ keywords)

Oftentimes, the hybrid lookup will pitch much less number of publicized patent documents when compared with the other two steps. However, to get other hits you could amend the keywords which have been identified in the initial step.

• Worldwide databases search

This type of search is done on expensive paid databases like Thomson Innovation, MPI-Inpadoc, which provide access to patent data of almost 100 involved countries in patent filingenhancing the probabilities of getting pertinent results of your invention.

• NPL (Non Patent Literature) search

Whilst patent searching is a major part of prior art, it is not everything. Searching non-patent literature for instance any magazine, newspaper, or trade paper article created about inventions like your own.Keywords based lookup is done on The search engines, Google Scholars and also Google Books.

• Inventor/Assignee centered search

This type of search normally get you the patents which have either the similar assignee making the search even thorough.

• Chinese, Japanese, Korean and Taiwanese indigenous patent Search

An overall search is not thorough until and until patent search is conducted by native searchers and also TT Consultants does that. We at TT Consultants offer a one stop program for multi lingual and multi geography patent search at very competitive prices.

Related Articles :

Changes in Patent Database and Final rules for AIA

The prime solution – Invalidation search

The significance of patent landscape

How do you safeguard intellectual property?

If you have Requirements, Please Submit Your Query 

 

Automatic prior art searching

In the intellectual property field two task s are of high relevance: prior art search ing and patent classification. Prior art search is fundamental for many strategic issues such as patent granting, freedom to operate and opposition . Accurate classification of patent documents according to the IPC code system is vital for the interoperability between different patent offices and for the prior art search task involved in a patent application procedure. In this paper, we report our experiments with prior art search ing and patent classification in the context of CLEF - IP ’10 evaluation track. In the Prior Art Candidates search task, we strongly improved our last year’s model based on our experiments on training data (MAP 0.22) , but official results , alas, w ere far from the expected one s (MAP 0.14) .

According to EPO, i t is estimated that 80% of the knowledge is found in patent documents. Due to its importance as source of knowledge and to the delay in patent analysis caused the growth of applications, new areas of knowledge and size of patent databases, new tools to automate patent search ing and classification process es have become a hot topic in the last decades . As example, we can cite the challenges CLEF 2009, TREC - CHEM 2009 - 2010 and the workshops SIGIR 20 00, ACL 2003 and NTCIR 3 - 8 which all have tasks dedicated to patent retrieval. In that context, the CLEF - IP 2010 evaluation track proposes two tasks for automation of prior art search ing and of patent classification.