The International Conference on Scienti?c and Statistical Database Mana- ment (SSDBM) is an established forum for the exchange of the latest research resultsonconcepts,tools,andtechniquesforscienti?cdatabaseapplications. The nd 2010meeting markedthe 22 time that scienti?c domain experts, databases- searchers,practitioners,anddeveloperscametogethertosharetheirinsightsand to discuss future research directions in a stimulating environment. The conf- encewasheldfromJune30toJuly2atVillaBosch,neartheCarlBoschMuseum and Heidelberg Castle, overlooking the picturesque Neckar Valley. The conf- ence was organized at and co-sponsored by Heidelberg University and HITS, the Heidelberg Institute for Theoretical Studies, established in January 2010 by Dr. Klaus Tschira, co-founder of SAP AG, as a successor to the EML Research Institute. HITSfocuses onnew approachesandfoundations towardsinterpreting the rapidly increasing amounts of experimental data. Heidelberg University, the oldest university in Germany, was founded in 1386, is a German Excellence U- versity, and a top-ranking university in Europe and worldwide, known among other things for its excellence in the natural sciences and medicine. The univ- sity also hosts a unique Interdisciplinary Center for Scienti?c Computing (IWR) where grand challenges in the computational sciences are tackled, e. g. , climate and ocean modeling, turbulent ?ows, combustion, bio-molecules, and drug - sign. In 2010, SSDBM received a near-record number of 94 submissions from 27 countries. Each submission was reviewed by at least three of the 38 PC m- bers or externalreviewers. After careful consideration,41 papers (?44%) overall where accepted, 30 as long papers (?32%) and 11 short papers and demonst- tions. The reviewing process was managedby the EasyChair Conference System (www. easychair.

TheInternationalConferenceonScienti?candStatisticalDatabaseManagement (SSDBM)isanestablishedforumfortheexchangeofthelatestresearchresultson concepts, tools, andtechniquesforscienti?candstatisticaldatabaseapplications. The2008meetingmarkedthe20thtimethatscienti?cdomainexperts, databases researchers, practitioners, and developers came together to share their new - sightsand to discuss ina stimulating environmentfuture researchdirections. This volume contains the proceedings of the 20th SSDBM Conference, held in Hong Kong, China, July 9-11,2008.The conference included 3 keynote talks, 28 long and 7 short papers in 9 sessions, and 8 posters and demonstrations in a single session. Distinguishedmembersofthe communitydeliveredthethree keynotes, which wereabout the past, present, and future managementof scienti?c and statistical data. Alex Szalay, an expert in large-scalescienti?c data management, discussed "New Challenges in Petascale Scienti?c Databases," managing huge scienti?c data repositories, with a focus on particular examples taken from astronomy. Nick Koudas, a leader in semi-structured text management, talked about "- ventures in the Blogosphere," a huge network of textual data (including blogs, social networks, wikis), and BlogScope, a system that collects and analyzes such data. Finally, Per Svensson, a pioneer in database systems development for s- enti?c applications, provided a historical review on "The Evolution of Vertical Database Architectures" from the perspective and performance needs of a s- enti?c or statistical large-scale data analyst user. The Program Committee, consisting of 37 members, accepted 43 papers (28 long,7short, and8posters/demos)fromatotalof84submissions.Thereviewing process was managed by the EasyChair Conference System, an excellent free conference management system, developed by Andrei Voronkov.

The explosion in the number and size of life science data resources, and the rapid growth in the variety and volume of laboratory data has been fueled by world-wide research activity and the emergence of new technologies. The m- eling, management and analysis of this data often requires a comprehensive - tegration of heterogeneous and typically semistructured data, distributed across many possibly data sources. Recent interoperability standards such as XML and WSDL solve some (easy) problems, but data and process integration often - main time-consuming and error-pone manual tasks. The di?culty of these tasks is compounded by the high degree of semantic heterogeneity across data sources, varying data quality, and other domain-speci?c application requirements. DILS 2005 was the 2nd International Workshop on Data Integration in the Life Sciences, following a successful ?rst DILS workshop, March 2004 in Leipzig, Germany. For a specialized workshop, the DILS 2005 call for papers created a largeinterest(over50abstractsandeventually42papersubmissions;anincrease ofover20%overDILS2004), outofwhichtheinternationalProgramCommittee selected 15 full papers, as well as 5 short papers, and 8 posters/demonstrations, which are all included in this volume. They cover a wide spectrum of theoretical and practical issues including scienti?c/clinical work?ows, ontologies, tools and systems, and integration techniques. DILS 2005 also featured keynotes by Dr. PeterBuneman, ProfessorattheSchoolofInformatics, UniversityofEdinburgh, and Dr. Shankar Subramaniam, Professor at the Department of Bioengineering andChemistry, UCSanDiego.Theprogramalsoincluded6invitedpresentations and reports on ongoing research activities in academia and industry and a panel organized by the AMIA Geomics Working Gr

This book constitutes the revised selected papers of the 5th International Provenance and Annotation Workshop, IPAW 2014, held in Cologne, Germany in June 2014. The 14 long papers, 20 short papers and 4 extended abstracts presented were carefully reviewed and selected from 53 submissions. The papers include tools that enable provenance capture from software compilers, from web publications and from scripts, using existing audit logs and employing both static and dynamic instrumentation.