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History of the Hartung Family
John Hartung Jr. (1807-1887), son of John Michael Hartung Sr. (b.ca. 1780) and Anna Margaret Elsessen, immigrated in 1829 with a half-brother, Johann Martin Zirkel, from Germany to Baltimore, Maryland, and moved to land near Pittsburgh or Allegheny, Pennsylvania. He married Salome Schramm in 1831, settled in Beaver County, Pennsylvania, and moved in 1855 to Butler County, Pennsylvania. Other family members immigrated from Germany to join them. Descendants and relatives lived in Pennsylvania, Iowa, Nebraska, South Dakota and elsewhere. Includes history of the Hartung Association, and many of its family reunions. Includes some history of the Hartungs to the 900s in Germany.
The Harvard Dictionary of Music
This reference includes: entries on all styles and forms in Western music; comprehensive articles on the music of Africa, Asia, Latin America and the Near East; descriptions of instruments and their historical background; and articles reflecting the contemporary beat, including pop, jazz and rock.
Pennsylvania State Reports
"Containing cases decided by the Supreme Court of Pennsylvania." (varies)
Data Integration in the Life Sciences
The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data an...
Data Integration in the Life Sciences
Data integration in the life sciences continues to be important but challe- ing. The ongoing development of new experimental methods gives rise to an increasingly wide range of data sets, which in turn must be combined to allow more integrative views of biological systems. Indeed, the growing prominence of systems biology, where mathematical models characterize behaviors observed in experiments of di?erent types, emphasizes the importance of data integration to the life sciences. In this context, the representation of models of biological behavior as data in turn gives rise to challenges relating to provenance, data quality, annotation, etc., all of which are associated with signi?cant research activities within computer science. The Data Integration in the Life Sciences (DILS) Workshop Series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences.
The Four Generations of Entity Resolution
Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of the research examines ways for improving its effectiveness and time efficiency. The initial ER methods primarily target Veracity in the context of structured (relational) data that are described by a schema of well-known quality and meaning. To achieve high effectiveness, they leverage schema, expert, and/or external knowledge. Part of these methods are extended to address Volume, processing large datasets through multi-core or massive parallelization approaches, such as the MapReduce paradigm. However, these early schema-based approaches are inapplicable to Web Data, which abound in voluminous, noi...
The Semantic Web: Semantics and Big Data
This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. The 42 revised full papers presented together with three invited talks were carefully reviewed and selected from 162 submissions. They are organized in tracks on ontologies; linked open data; semantic data management; mobile Web, sensors and semantic streams; reasoning; natural language processing and information retrieval; machine learning; social Web and Web science; cognition and semantic Web; and in-use and industrial tracks. The book also includes 17 PhD papers presented at the PhD Symposium.
