Semantic Web Development in Traditional Chinese Medicine
اسلاید 1: www.tabaye.ir
اسلاید 2: Huajun ChenZhejiang UnviersitySemantic Web Development in Traditional Chinese Medicine
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اسلاید 5: What’s TCM?Traditional Chinese Medicine (TCM) is an ancient medical system that accounts for around 40% of all health cares delivered in China.Preventive MedicineTake medicine as like a daily nutrition supplement or part of food to maintain the balance of the whole body system.Personalized MedicineTreatment can be completely different for people with respect to their gender, age, health condition although they have very similar symptoms.Empirical MedicineThe effect of many TCM drugs are based on more one thousand years of practices, whereas they do not know the specific underlying mechanism.
اسلاید 6: TCM KnowledgeTCM theories derive from many knowledge sources including the theories of Yin-Yang, Chinese five elements, the human body channel system, Zang Fu organ theory, holistic connections, mind-body intervention, and many others. TCM practice includes diagnosis and treatments theories such as herbal medicine and , massage and cupping, acupuncture and meridians.
اسلاید 7: A project in collaboration with China Academy of Traditional Chinese Medicine.
اسلاید 8: The ultimate vision of the TCM Semantic Web
اسلاید 9: The SubprojectsTCM Ontology Engineering (2001-current).The DartGrid Data Integration System (first started in 2002)Integrating legacy relational database into Semantic WebDartMapper: Visulized relational-2-RDF Mapper (2003-2005)DartQuery: SPARQL2SQL Query Rewriter and a Form-based SPARQL query builder (2003-2006)DartSearch: Semantic Search. (2005-current)Semantic Data Analysis and Data Mining for Semantic WebDartSpora: semantic data analysis engine (2007-current)Semantic Graph Mining for biomedical network analysis. (2007- current)
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اسلاید 11: TCM Ontology EngineeringA effort participated by more than 100 persons from over 30 TCM research institutes located in different parts of ChinaScaleMore than 20,000 classes and 100,000 instances defined in the current ontologyService Web APIs for ontology-based applications.
اسلاید 12: The current TCM ontology contains 15 major categories for each sub-domain.
اسلاید 13: Ontology visualization and query engine
اسلاید 14: A semantic search engine build upon a lot of relational databases.
اسلاید 15: System ArchitectureOntology Service is used to expose the RDF/OWL ontologies. Semantic Registration Service maintains the semantic mapping information. Semantic Query Service is used to process SPARQL semantic queries. Search Service supports full-text search in all databases, and semantically navigating through the result, across database boundaries.
اسلاید 16: Visualized Mapper
اسلاید 17: Semantic Search Portal Version 1
اسلاید 18: Semantic Search Portal Version 1
اسلاید 19: What kinds of new connections can be discovered or mined from this huge web of data?
اسلاید 20: Graph vs Semantic GraphSemantic Graph as a Knowledge BaseSemantic Graph as a Complex NetworkReasoningNetwork AnalysisSemantic Graph Mining
اسلاید 21: An example.A semantic graph can connect data from different sources and domains while preserving the provenance of data.
اسلاید 22: An exampleFrequent Semantic Sub-graph DiscoveryProblem Descriptions:Semantic Sub-graph. In a semantic graph G, every transaction can be represented as a knowledge base consisting of statements. One graph A is a sub-graph of graph B iff. A is subsumed by B.Frequent Semantic Sub-Graph. Give a graph g, and a semantic graph G. g is a frequent sub-graph with respect to G, iff. there are more than i|K| minimum subsumed sub-graphs in G with respect to g, where i is a user-specified minimum support threshold, and |K| is the total number of graphs in K.Applicatisions:Network motifs identification in biological networksDrug Efficacy Analysis
اسلاید 23: Semantic data analysisSemantic graph contains richer information than normal graph.It is based upon the integration capability of semantic web. Much more meaningful mining results:Discover the facts directly.Find more meaningful associations among entities.Calculate the network parameters in a more accurate way.Ontological reasoning can be leveraged to further facilitate the mining process. We need good tools to help do so.
اسلاید 24: DartSpora: a interactive mining engine for TCM
اسلاید 25: SummaryA Web of Data means a lot to us. It can enable fancy ways of searching and browsing the daunting online information space.It can also finally unleash the potential underlying disparate data sources to greatly facilitate and advance the data mining and knowledge discovery technology.But we need powerful tools to help us to achieve the goal.
اسلاید 26: Summary: Key Benefits of Semantic Web for TCMFusion of data across many scientific disciplineEasier recombination of dataQuerying of data at different levels of granularityCapture provenance of data through annotationData can be assessed for inconsistenciesIntegrative knowledge discovery from large-scale semantic graph formed by integrating cross-institutional, cross-dispinaries data sources.
اسلاید 27: Thanks for your time!
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