By Joaquim Filipe, José Cordeiro
This publication comprises the easiest papers of the tenth foreign convention on company details platforms (ICEIS 2008), held within the urban of Barcelona (Spain), geared up via the Institute for structures and applied sciences of data, keep an eye on and Com- nication (INSTICC) in cooperation with AAAI and co-sponsored by means of WfMC. ICEIS has turn into an enormous element of touch among learn scientists, engineers and practitioners within the sector of commercial purposes of data structures. This 12 months, 5 simultaneous tracks have been held, overlaying various facets relating to company computing, together with: “Databases and knowledge platforms Integration,” “Artificial Intelligence and determination help Systems,” “Information platforms research and Specification,” “Software brokers and web Computing” and “Human–Computer Interaction.” All tracks thinking about real-world functions and highlighted the advantages of details platforms and know-how for and companies, hence creating a bridge among academia and company. Following the luck of 2007, ICEIS 2008 acquired 665 paper submissions from greater than forty nations. In all, sixty two papers have been released and awarded as complete papers, i.e., accomplished paintings (8 pages in complaints / 30-min oral presentations), and 183 papers, reflecting work-in-progress or place papers, have been approved for brief pr- entation and one other 161 for poster presentation.
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Extra info for Enterprise Information Systems: 10th International Conference, ICEIS 2008, Barcelona, Spain, June 12-16, 2008, Revised Selected Papers (Lecture Notes in Business Information Processing)
Xml 3 14 A6 15 Learning XML e typ rel: rel: start rel: re end l:n am e e typ rel: rel: start rel: re end l:v alu e 1 17 20 author 3 18 19 Erik T. Ray Fig. 4. Graphical representation of the RDF data representing the generated RDF graph of the data translation module of our prototype when using the XML data of Fig. g. use built-in functions and set operations like the UNION operator. We refer the interested reader to  for a complete list and description of the SPARQL features. v0 rel:type "9".
XPathMark: An xPath benchmark for the xMark generated data. , Unland, R. ) XSym 2005. LNCS, vol. 3671, pp. 129–143. Springer, Heidelberg (2005) 9. : Embedding SPARQL into XQuery / XSLT. In: ACM SAC 2008, Fortaleza, Brazil (2008) 10. : Accelerating XPath evaluation in any RDBMS. ACM Trans. Database Syst. 29, 91–131 (2004) 11. : Toring and querying ordered XML using a relational database system. A (2002) 12. net 13. OWL. A (2006) 14. : SPARQL Query Language for RDF. W3C Recommendation (2008) 15.
A (2006) 14. : SPARQL Query Language for RDF. W3C Recommendation (2008) 15. : Efficient RDF Storage and Retrieval in Jena2. In: SWDB 2003 co-located with VLDB 2003, Berlin (2003) 16. W3C. XML Schema Part 2: Datatypes. W3C Recommendation (2001) 17. 0,W3C Recommendation (2007) Bringing the XML and Semantic Web Worlds Closer 43 Appendix We describe the translation from XPath into SPARQL by an attribute grammar. Definition 3 (Attribute Grammar). An attribute grammar consists of a grammar G in EBNF notation and computation rules for attributes of symbols of G added to a production rule of G.
Enterprise Information Systems: 10th International Conference, ICEIS 2008, Barcelona, Spain, June 12-16, 2008, Revised Selected Papers (Lecture Notes in Business Information Processing) by Joaquim Filipe, José Cordeiro