By Peter Haase
Read Online or Download Semantic Technologies for Distributed Information Systems PDF
Best management information systems books
In-Memory Data Management: An Inflection Point for Enterprise Applications
Within the last 50 years the area has been thoroughly reworked by utilizing IT. we now have reached a brand new inflection element. the following we current, for the 1st time, how in-memory computing is altering the best way companies are run. this day, company facts is divided into separate databases for functionality purposes.
Data Analysis, Machine Learning and Applications
Information research and computing device studying are examine parts on the intersection of machine technological know-how, synthetic intelligence, arithmetic and records. They hide basic tools and methods that may be utilized to an unlimited set of purposes similar to net and textual content mining, advertising and marketing, clinical technological know-how, bioinformatics and enterprise intelligence.
Das Buch gibt eine Einführung in die Geschäftsprozessanalyse mit den beiden Schwerpunkten "Ereignisgesteuerte Prozessketten" und "objektorientierte Geschäftsprozessanalyse". Es thematisiert Grundlagen, Chancen und Risiken Betriebswirtschaftlicher Standardsoftware (ERP-Software) und gibt eine umfassende und praxisnahe Einführung in ereignisgesteuerte Prozessketten.
Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner
Positioned Predictive Analytics into motion study the fundamentals of Predictive research and knowledge Mining via a simple to appreciate conceptual framework and instantly perform the techniques realized utilizing the open resource RapidMiner device. even if you're fresh to info Mining or engaged on your 10th undertaking, this booklet will aid you learn info, discover hidden styles and relationships to help vital judgements and predictions.
- High Performance Through Process Excellence: From Strategy to Operations
- Moving Hadoop to the Cloud
- Introduction to Distributed Algorithms
- Elementary Linear Programming with Applications
- Web 2.0 The Business Model
Additional resources for Semantic Technologies for Distributed Information Systems
Example text
In this section we introduce the OWL ontology language and description logics as its logical foundations. This introduction is to a great extent inspired by [HPSvH03] and [BHS04]. The OWL ontology language is based on a family of description logics languages. Within this family, three members have been standardized as sublanguages of OWL: OWL Full, OWL DL, and OWL Lite. e. in their provided constructs and the allowed combinations of these constructs. 30 3. Ontologies • OWL Full is the most expressive of the members of the OWL family.
An application ontology de nes concepts essential for a particular application, often depending both on a particular domain and task. A further classi cation of ontologies would be possible along the knowledge representation formalism and the corresponding inference mechanisms used or provided by these formalisms. Common to all ontology languages is that the conceptualization takes the form of a de nition of the properties of important concepts and relationships. We refrain from providing an introduction to all of these formalisms, and instead refer the reader to [SS04] for an overview of ontology representation formalisms and languages.
Cn } (enumeration), denoting the concept of individuals explicitly enumerated. Based on these class descriptions, axioms of the following types can be formed: • concept inclusion axioms the concept • C D, stating that the concept C is a subconcept of D, transitivity axioms Trans(R), stating that the role R is transitive, 32 3. Ontologies • role inclusion axioms • concept assertions concept • • S C(a) stating that the role R is a subrole of the role S , stating that the individual a is in the extension of the C, role assertions role R R(a, b) stating that the individuals a, b are in the extension of the R, individual (in)equalities a ≈ b, and a ≈ b, respectively, stating that a and b denote the same (different) individuals.