Exploring Automated Patent Search with KNIME Possibilities, Limits, Future
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1 Exploring Automated Patent Search with KNIME Possibilities, Limits, Future Alexander Klenner-Bajaja, PhD
2 European Patent Office Offices: Berlin, Vienna, Munich, The Hague (Rijswijk), Brussels Staff: over 7000 Mission: Granting European Patents New building in Rijswijk, finished approx
3 Why Search European Patent Convention 3 Information Management`s Task: Support Search
4 Patent Search Filing numbers increase
5 Introduction What do we want, where are we? Application Query Formulation Search PriorArt relevant documents 5
6 The EPO`s Tool landscape Translation API Boolean Search Engine Search Evaluation Lucene Search Engine Concept Extraction MetaData Neo4J Fulltext MongoDB ImageDB GoldStandard SQL 6
7 The EPO`s Tool landscape Translation API Boolean Search Engine Search Evaluation Lucene Search Engine GoldStandard SQL MetaData Neo4J Fulltext MongoDB ImageDB Concept Extraction 7
8 The EPO`s Tool landscape Translation API Boolean Search Engine Search Evaluation Lucene Search Engine GoldStandard SQL MetaData Neo4J Fulltext MongoDB ImageDB Concept Extraction 8
9 The EPO`s Tool landscape Translation API Boolean Search Engine Search Evaluation Lucene Search Engine GoldStandard SQL MetaData Neo4J Fulltext MongoDB ImageDB Concept Extraction 9
10 One platform to allow rapid prototyping and evaluation 10
11 The current Search System A Lucene elastic search based system, documents are returned as ranked lists Search Space Lucene query k 1 11
12 Patent Gold Standards We have manually curated search reports for about 40 million simple patent families The relevant documents are mentioned in the search report as either X(I,N),A,Y,... documents median: 5 citations in search reports 12
13 Setting up a benchmarking environment We need to move away from anecdotal evidence to statistically meaningful facts TAPAS Applications MAP:0.4 MAP:0.2 Method 1 Method 2 Patent Corpus * Exploiting real queries SEARCH INDEX Evaluate! 13
14 Using KNIME to enhance automated search Evaluation and Feedback Application Query Formulation Search PriorArt relevant documents 14
15 Use Case: Does Translation help to find relevant Prior Art? 15
16 %-relevant retrieved Evaluating the results Does Translation help to find relevant Prior Art? 100 %-relevant retrieved Relevant Combined Translated Original Expected results Queries Queries %-relevant retrieved , , ,
17 Patents have multi-modal information content: Images Images Chemical Formulas Flow Diagrams Circuits Technical Drawings 17
18 Image Search the Google way Standard Google image search (very strong on real world images) is currently not suited for technical drawings Extremely complicated endeavour Google results 18
19 Use Case: Image Search Query Filtering and Visualisation Search Space State of the art Image processing 19
20 Image Search Adaptive Hierarchical Density Histogram (AHDH) Exploit distribution of image points New results AHDH closest match 20
21 Can we optimize our Search Tool Parameters? 21
22 Use Case: Parameter Optimisation Swarm Optimization 22
23 Can we optimize our Search Tool Parameters? End Start 23
24 What are the possibilities? We were able to create a system where all components sharing the same (table based) interface. We make full use of many existing components and combine them successfully with internal and external additional developments Text mining Image Similarity Machine Learning based document similarity Influence of translation to patent search Rapid Prototyping Evaluation and Feedback 24
25 What are the limits? Very practical issues like memory freezes of the eclipse Environment Sometimes extreme over head introduction e.g. text mining nodes (String to Document) Not suitable from our experience for full corpus analytics (100 million full text documents and more) Getting lost in yellow nodes (ungroup, pivot, regroup, filter, missing value,...) 25
26 Future Exposing stable services as web service through the KNIME server web-interface Exposing workflow creation to a wider range of user (right now its IM only) Connecting more services Using of streaming to overcome some of the limits 26
27 Thank you for your attention 27
28 28
29 Supplement 29
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