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Semantic Medline: Multi-Document Summarization and Visualization Thomas C. Rindflesch, Ph.D. Marcelo Fiszman, M.D., Ph.D. Halil Kilicoglu, M.S. Lister Hill National Center for Biomedical Communications
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2 Information management application u Manipulate information in addition to documents u Manage the results of PubMed searches l Help users decide what to read u Connect knowledge from various sources u Integrate application interfaces
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3 Managing retrieval results Information retrieval summarization Semantic Medline breast cancer Network of relations retrieval 500 citations
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4 Managing retrieval results breast cancer
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5 Seamless integration of technologies u Information retrieval l PubMed - MEDLINE u Natural language processing: SemRep l Represent content of text with semantic predications u Abstraction summarization l Informative: Overview of most salient information u Visualization l Indicative: Links to source text and additional information
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6 Structured Biomedical Data UMLS Semantic Predications SemRep Informative Graph Visualize Salient Semantic Predications Summarize Semantic Medline Overview Text MEDLINE ClinicalTrials.gov PubMed Query
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7 Structured Biomedical Data UMLS Semantic Predications SemRep Informative Graph Visualize Salient Semantic Predications Summarize Document selection Text MEDLINE ClinicalTrials.gov PubMed Query “breast cancer”
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8 Structured Biomedical Data UMLS Semantic Predications SemRep Informative Graph Visualize Salient Semantic Predications Summarize MEDLINE citations MEDLINE ClinicalTrials.gov PubMed Query Text … aromatase inhibitor provides mortality benefit in early breast carcinoma… … aromatase inhibitor provides mortality benefit in early breast carcinoma … …determined the spectrum and frequency of ATM missense variants in 443 breast cancer patients… …determined the spectrum and frequency of ATM missense variants in 443 breast cancer patients …
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9 Structured Biomedical Data Informative Graph Visualize Salient Semantic Predications Summarize Semantic intepretation MEDLINE ClinicalTrials.gov PubMed Query UMLS Semantic Predications SemRep Text
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10 Semantic interpretation... …... aromatase inhibitor provides mortality benefit in early breast carcinoma … Aromatase InhibitorsBreast Carcinoma treats … … … determined the spectrum and frequency of ATM missense variants in 443 breast cancer patients … ATM geneBreast Carcinoma associated_with
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11 Structured Biomedical Data UMLS SemRep Informative Graph Visualize Salient Semantic Predications Summarize Semantic predications Text MEDLINE ClinicalTrials.gov PubMed Query Semantic Predications Aromatase InhibitorsBreast Carcinoma treats ATM geneBreast Carcinoma associated_with TamoxifenBreast Carcinoma treats TamoxifenPatients treats Breast CarcinomaIndividual process_of ………………
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12 Structured Biomedical Data UMLS SemRep Informative Graph Visualize Summarization Text MEDLINE ClinicalTrials.gov PubMed Query Salient Semantic Predications Summarize Semantic Predications
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13 Abstraction summarization All Predications Reduction Salient Predications u Specify a topic u Retain predications on the topic u Eliminate uninformative predications u Retain most frequent predications
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14 Structured Biomedical Data UMLS SemRep Informative Graph VisualizeSummarize Salient semantic predications Text MEDLINE ClinicalTrials.gov PubMed Query Semantic Predications Salient Semantic Predications Aromatase InhibitorsBreast Carcinoma treats ATM geneBreast Carcinoma associated_with TamoxifenBreast Carcinoma treats TamoxifenPatients treats Breast CarcinomaIndividual process_of ………………
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15 Structured Biomedical Data UMLS SemRepSummarize Visualization Text MEDLINE ClinicalTrials.gov PubMed Query Semantic Predications Informative Graph Visualize Salient Semantic Predications
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16 SemRepSummarize Informative graph MEDLINE ClinicalTrials.gov PubMed Query Semantic Predications Visualize Salient Semantic Predications Structured Biomedical Data UMLS Text Informative Graph treats associated_with treats Aromatase Inhibitors Tamoxifen ATM gene Breast Carcinoma
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17 Semantic Medline Live
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18 Home page
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19 Search MEDLINE
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20 Summarization options
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21 Summarization results
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22 More detail
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23 Substance interactions
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24 Acknowledgments u Caroline Ahlers u Marcelo Fiszman u Philip Goetz u Halil Kilicoglu u Anna Ripple u Graciela Rosemblat
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