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  1. Proceedings of the 2nd international workshop on Patent information retrieval (PaIR '09)
  2. Ontologies and semantic mining for bio-technology and chemistry data and patents
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A case for probabilistic logic for scalable patent retrieval
Ontologies and semantic mining for bio-technology and chemistry data and patents
Extracting problem solved concepts from patent documents
Identification of low/high retrievable patents using content-based features
Phrase-based document categorization revisited
Interactive constrained clustering for patent document set
A design rationale representation model using patent documents
Automatic translation of scholarly terms into patent terms
Using normalized alignment scores to detect incorrectly aligned segments
On the role of classification in patent invalidity searches
Patent claim decomposition for improved information extraction
FindCite: automatically finding prior art patents

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Ontologies and semantic mining for bio-technology and chemistry data and patents

Content Provider ACM Digital Library
Author Havukkala, Ilkka
Abstract Current Semantic Web technologies and fast retrieval methods for internet scale databases are reviewed and challenges for handling biotechnology and chemistry data and patents identified. Possible solutions are discussed and future directions for integrated scalable solutions indicated.
Starting Page 41
Ending Page 42
Page Count 2
File Format PDF
ISBN 9781605588094
DOI 10.1145/1651343.1651354
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-11-06
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Biotechnology Namespaces Patents Controlled vocabularies Semantic profiling Metadata Ontologies Matrix factorization Rdfa Semantic hashing Spectral hashing Semantic web Chemistry Sparql Bio2rdf Latent semantic indexing
Content Type Text
Resource Type Article
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