<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Satya S. Sahoo</style></author><author><style face="normal" font="default" size="100%">D. Brent Weatherly</style></author><author><style face="normal" font="default" size="100%">Pramod Anantharam</style></author><author><style face="normal" font="default" size="100%">Flora Logan</style></author><author><style face="normal" font="default" size="100%">Amit Sheth</style></author><author><style face="normal" font="default" size="100%">Rick Tarleton</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Ontology Driven Integration of Biology Experiment Data</style></title><secondary-title><style face="normal" font="default" size="100%">Ohio Collaborative Conference on BioInformatics (OCCBIO 2009), Posters &amp; Demos</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><pub-location><style face="normal" font="default" size="100%">Cleveland, OH, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Satya S. Sahoo</style></author><author><style face="normal" font="default" size="100%">D. Brent Weatherly</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Pramod Anantharam</style></author><author><style face="normal" font="default" size="100%">Amit Sheth</style></author><author><style face="normal" font="default" size="100%">Rick Tarleton</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Robert Meersman</style></author><author><style face="normal" font="default" size="100%">Tharam S. Dillon</style></author><author><style face="normal" font="default" size="100%">Pilar Herrero</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Ontology-Driven Provenance Management in eScience: An Application in Parasite Research</style></title><secondary-title><style face="normal" font="default" size="100%">On the Move to Meaningful Internet Systems: OTM 2009, Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009, Proceedings, Part II</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-05151-7_18</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Vilamoura, Portugal</style></pub-location><volume><style face="normal" font="default" size="100%">5871</style></volume><pages><style face="normal" font="default" size="100%">992–1009</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experiment process, validate data quality and associate trust values with scientific results. Current industrial scale eScience projects require an end-to-end provenance management infrastructure. This infrastructure needs to be underpinned by formal semantics to enable analysis of large scale provenance information by software applications. Further, effective analysis of provenance information requires well-defined query mechanisms to support complex queries over large datasets. This paper introduces an ontology-driven provenance management infrastructure for biology experiment data, as part of the Semantic Problem Solving Environment (SPSE) for Trypanosoma cruzi (T.cruzi). This provenance infrastructure, called T.cruzi Provenance Management System (PMS), is underpinned by (a) a domain-specific provenance ontology called Parasite Experiment ontology, (b) specialized query operators for provenance analysis, and (c) a provenance query engine. The query engine uses a novel optimization technique based on materialized views called materialized provenance views (MPV) to scale with increasing data size and query complexity. This comprehensive ontology-driven provenance infrastructure not only allows effective tracking and management of ongoing experiments in the Tarleton Research Group at the Center for Tropical and Emerging Global Diseases (CTEGD), but also enables researchers to retrieve the complete provenance information of scientific results for publication in literature.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pramod Anantharam</style></author><author><style face="normal" font="default" size="100%">Satya S. Sahoo</style></author><author><style face="normal" font="default" size="100%">D. Brent Weatherly</style></author><author><style face="normal" font="default" size="100%">Flora Logan</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Amit Sheth</style></author><author><style face="normal" font="default" size="100%">Rick Tarleton</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Trykipedia: Collaborative Bio-Ontology Development using Wiki Environment</style></title><secondary-title><style face="normal" font="default" size="100%">Ohio Collaborative Conference on BioInformatics (OCCBIO 2009), Posters &amp; Demos</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><pub-location><style face="normal" font="default" size="100%">Cleveland, OH, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ashutosh Jadhav</style></author><author><style face="normal" font="default" size="100%">Wenbo Wang</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Pramod Anantharam</style></author><author><style face="normal" font="default" size="100%">Vinh Nguyen</style></author><author><style face="normal" font="default" size="100%">Amit Sheth</style></author><author><style face="normal" font="default" size="100%">Karthik Gomadam</style></author><author><style face="normal" font="default" size="100%">Meenakshi Nagarajan</style></author><author><style face="normal" font="default" size="100%">Ajith Ranabahu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Twitris: Socially Influenced Browsing</style></title><secondary-title><style face="normal" font="default" size="100%">Semantic Web Challenge at the 8th International Semantic Web Conference (ISWC 2009)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><pub-location><style face="normal" font="default" size="100%">Washington DC, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;In this paper, we present Twitris, a semantic Web application that facilitates browsing for news and information, using social perceptions as the fulcrum. In doing so we address challenges in large scale crawling, processing of real time information, and preserving spatiotemporal-thematic properties central to observations pertaining to realtime events. We extract metadata about events from Twitter and bring related news and Wikipedia articles to the user. In developing Twitris, we have used the DBPedia ontology.&lt;/p&gt;
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