BEGIN:VCALENDAR
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7682\nThe rapidly increasing amount of data in pharma industry provides new opportunities and challenges for large scale data mining. Apart from quantity, the inherent diversity and heterogeneity (e.g., data formats, information models and terminologies) of the data are significant barriers. Semantic Web (SW) standards have been shown to be successful in such environments to create coherence and integrate information “meaningfully” in a way that the data can be contextually understood, accurately interpreted and made actionable. Applications of SW technologies in pharma have matured to the point that we are beginning to see tangible benefits. \nThis talk will explore several real-world use cases relevant to pharmaceutical industry in applying SW for understanding molecular basis of complex diseases, conceptual integration of pharmaceutical databases and competitive intelligence. We will demonstrate that potentially powerful applications can be built by combining Semantic knowledge graphs with network analytics, natural language processing and inference reasoning methods.   \nWe will discuss: \nPractical use cases of applying Semantic Web standards and technologies in Pharma\nHow RDF and OWL can be effectively used to describe and build non-trivial relationships between different data sets that makes it easier to correlate and semantically integrate\nHow complex queries can be easily formulated in SPARQL query language that can help to find new actionable insights from semantically aggregated RDF graphs\nHow simple inference and reasoning capabilities empower discovering new knowledge  and intelligence within the RDF graph\nHow network analytics and natural language processing (NLP) are critical in supporting RDF graph based knowledge discovery
DTSTART:20150819T100000
SUMMARY:Practical Applications of Semantic Web in Pharma
DTEND:20150819T104459
LOCATION: See Description
END:VEVENT
END:VCALENDAR