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Ontology-Oriented Data Management and Document Databases

This study presents a meth­od for the stor­age of data organ­ized in digit­al doc­u­ments, which is proven in prac­tice. The dis­cussed meth­od does not bear any dis­ad­vant­ages of the rela­tion­al mod­el used for data organ­iz­a­tion, such as the loss of data con­text and com­plic­a­tions evoked by the lack of data redund­ancy. The meth­od presen­ted here can be used for data organ­iz­a­tion into doc­u­ments (digit­al and paper) as clas­si­fied aggreg­ates and for data clas­si­fic­a­tion. The study also describes a new metamod­el for the data struc­ture which assumes that doc­u­ments, being data struc­tures, form com­pact aggreg­ates, clas­si­fied as objects, or event descrip­tions, thus always assign­ing them a spe­cif­ic and unam­bigu­ous con­text. Fur­ther­more, the study presents a design meth­od for doc­u­ments as con­text aggreg­ates that allows lev­el­ing the dis­ad­vant­ages of the rela­tion­al mod­el and ensures effi­cient inform­a­tion man­age­ment. The work also con­tains prac­tic­al examples of the applic­a­tion of the described method.

Digit­al Doc­u­ments as Data Car­ri­ers and a Meth­od of Data Man­age­ment Guar­an­tee­ing the Unam­bi­gu­ity of the Recor­ded Inform­a­tion: Onto­logy-Ori­ented Data Man­age­ment and Doc­u­ment Databases

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PIM modelling ‑Reduction of UML notation

The work is an attempt to sys­tem­at­ise the use of key nota­tions in the pro­cess of sys­tem ana­lys­is and design. Under the term. and UML of know­ledge in the field of object-ori­ented ana­lys­is and design and the nota­tion sys­tems used in this area. The author pays spe­cial atten­tion to the dif­fer­ences between data-and respons­ib­il­ity-ori­ented design meth­ods (chapter Ana­lys­is and object-ori­ented design). The fol­low­ing sec­tion describes the con­cep­tu­al basis described in the SBVR, MOF, MDA spe­cific­a­tions and the mod­el­ling meth­od using UML nota­tion. The author argues that onto­logy is not a mod­el of the world, it only describes it.

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