Concepts, Ontologies, and Knowledge Representation by Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo PDF

By Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo Tomažič

Recording wisdom in a typical framework that may give the opportunity to seamlessly percentage international wisdom continues to be a big problem for researchers. This short examines a number of rules concerning the illustration of data addressing this problem. A frequent basic contract is that states uniform wisdom illustration can be attainable through the use of ontologies populated with techniques.

A separate bankruptcy is devoted to every of the 3 brought themes, following a uniform define: definition, association, and use. This short is meant should you are looking to get to understand the sphere of data illustration speedy, or wish to be modern with present advancements within the box. it's also necessary for these facing implementation as examples of diverse operational structures also are given.

Show description

Read or Download Concepts, Ontologies, and Knowledge Representation PDF

Similar storage & retrieval books

Challenging E Learning in the University - download pdf or read online

"Informed through an intimate wisdom of a social literacies point of view, this publication is stuffed with profound insights and unforeseen connections. Its scholarly, clear-eyed research of the function of latest media in better schooling units the schedule for e-learning study within the twenty-first century" Ilana Snyder, Monash college "This e-book deals an intensive rethinking of e-learning … The authors problem lecturers, path builders, and coverage makers to determine e-learning environments as textual practices, rooted deeply within the social and highbrow lifetime of educational disciplines.

Download e-book for iPad: Fundamentals of database systems by Ramez Elmasri, Shamkant B. Navathe

This is often the e-book of the published booklet and will now not comprise any media, site entry codes, or print supplementations that could come packaged with the sure ebook. transparent reasons of concept and layout, wide assurance of types and actual structures, and an updated creation to trendy database applied sciences lead to a number one creation to database platforms.

New PDF release: Pro SQL Server Internals

Increase your skill to increase, deal with, and troubleshoot SQL Server strategies by way of studying how varied parts paintings “under the hood,” and the way they convey with one another. The distinct wisdom is helping in imposing and keeping high-throughput databases serious in your enterprise and its shoppers.

Extra info for Concepts, Ontologies, and Knowledge Representation

Sample text

Some of the well-known software tools for creating ontologies include TERMINAE (Biebow et al. 1999; TERMINAE 2012), Protégé (Noy et al. 2001; Protégé 2012), KAON (Bozsak et al. 2002; KAON2 2012), DogmaModeler (DM 2012), HOZO (Mizoguchi et al. 2007; HOZO 2012) and OntoStudio (Weiten 2009; Semafora 2012). The methodology for constructing ontologies (also implemented in some of these tools) was developed under the projects OntoClean (Guarino and Welty 2002; OntoClean 2012), On-To-Knowledge (Sure and Studer 2002) and Dogma (Jarrar and Meersman 2002).

In certain situations, one person’s knowledge can, namely, represent completely meaningless data for someone else. For example, all knowledge a skilled chess player has on opening strategies makes very little sense to someone who does not know how the individual chess pieces move. If it is so difficult to define knowledge, why should one take the trouble of defining it? Even without an explicit definition, knowledge can be recognized from observing the activity of entities (human or software agents) that are capable of particular actions, and the effects of such activity (Newell 1982; Guarino and Giaretta 1995; Schreiber et al.

In: Proceedings of the 2007 conference on human interface, Beijing Gal A, Modica G, Jamil H (2004) OntoBuilder: fully automatic extraction and consolidation of ontologies from web sources. In: Proceedings of the 20th international conference on data engineering, Boston Gangemi A, Guarino N, Masolo C, Oltramari A, Schneider L (2002) Sweetening ontologies with DOLCE. In: Knowledge engineering and knowledge management: ontologies and the semantic web. Lecture notes in computer science, vol 2473. 0, reference manual.

Download PDF sample

Rated 4.48 of 5 – based on 28 votes