By Don Chamberlin
DB2 common Database (UDB) helps many differing kinds of functions, on many alternative sorts of information, in lots of assorted software program and environments.
This e-book presents a whole consultant to DB2 UDB model five in all its elements, together with the interfaces that aid finish clients, program builders, and database directors. it's complementary to the IBM product documentation, supplying a transparent and casual clarification of the way the gains of DB2 have been meant for use. it really is an in depth revision of the author's past publication, utilizing the recent DB2: IBM's Object-Relational Database approach . * deals whole and self-contained details, and doesn't imagine previous wisdom of DB2, SQL, or relational database strategies * Covers straight forward ideas of database administration in addition to the complex positive aspects of UDB, together with recursive queries, constraints, triggers, user-defined datatypes, kept approaches, parallel databases, and graphical instruments for database management * contains dozens of useful counsel that would store readers many hours of labor in constructing database purposes * presents thousands of proven examples written in SQL, C, C++, and Java, all of that are on hand at the MKP website
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Extra resources for A Complete Guide to DB2 Universal Database
Using languagebased queries for retrieving semantic annotations and associated documents is a somewhat diﬀerent task, since the queries need to go beyond the ontology and into documents as well. The QuestIO system , for example, has an ontology modelling documents and the semantic annotations in them and uses it to help naive users to search through RDF annotations and get a list of matching documents back. ) were annotated semantically with respect to a domain ontology. 44 K. Bontcheva, V.
In: Proceeddings of the 20th Text REtrieval Conference, TREC 2011 (2011) 26. : The enron corpus: A new dataset for email classiﬁcation research. , Pedreschi, D. ) ECML 2004. LNCS (LNAI), vol. 3201, pp. 217–226. Springer, Heidelberg (2004) 27. : Overview of the International Sexual Predator Identiﬁcation Competition at PAN-2012. In: CLEF (Online Working Notes/Labs/Workshop) (2012) 30 G. Inches and F. Crestani 28. : Overview of the eighth text retrieval conference (trec8). In: NIST Special Publication 500-246: The Eighth Text REtrieval Conference (TREC 8), pp.
A similar approach has been taken in the Broccoli system , which has a special occurs − with relation, the value of which is the free text keyword. M´ımir3  has an even richer query language, which also supports the inclusion of linguistic annotations in queries. For example, a M´ımir query “PER says” will return documents where an entity of type Person is followed by the keyword says. g. g. 5] root:say” which matches text such as “Sebastian James of Dixons Group said”). Additional semantic restrictions based on knowledge from the ontology are expressed by adding a SPARQL query.