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Content available remote Polymetallic mineralization in the Bayanlig area, Aimak Bayankhongor, Mongolia
EN
Since 2007, exploration works have been carried out for the metalliferous deposits in SW Mongolia (Bayankhongor province), close to the north edge of the Gobi desert. Mongolia is subdivided into 44 fault-bounded terranes (Badarch et al. 2002). The studied area is a part of the Gobi Altai Terrane, which is a long and narrow belt, located in the south of the Main Mongolian Lineament. The terrane is genetically classified as backarc/forearc basin and mainly consists of greenschist facies metamorphosed sandstones, shallow-marine limestones, volcanic rocks and granite/plagiogranite intrusions (Badarch et al. 2002). The presented research is based on the mineralogical samples collected during the exploration works conducted in 2012. During the fieldwork several types of rocks were identified, such as mafic and ultramafic rocks which are serpentinised to various degree and also more felsic lithologies. Both mafic and felsic rocks revealed macroscopically visible metalliferous mineralization. The aim of the study was to identify ore minerals in all types of rocks and to determine succession of the ore minerals occurring in the serpentinised mafic and ultramafic rocks. Microscopic observations in transmitted and reflected light were conducted in the Ore Deposits Geology Laboratory of the Mining and Economic Geology Department at the AGH University of Science and Technology in Krakow. Macroscopic observations revealed that magnetite is a dominant ore mineral in the mafic lithologies, whereas malachite and copper sulfides in the felsic rocks. On the basis of microscopic observations two main types of ore minerals were identified: oxides and sulfides. Samples form mafic rocks revealed chromite, magnetite, other Cr-Fe spinels, hematite, ilmenite, rutile, millerite, polydymite and pentlandite. Oxide minerals dominate in these rocks. Ore minerals identified in samples from felsic lithologies are represented by chalcopyrite, pyrite, idaite, covellite, malachite, pyrrhotite and molybdenite. Moreover, electrum and native gold have also been recognized in one set of samples from felsic rocks. As a result of the conducted research an attempt of determining precipitation stages of ore minerals occurring in the serpentinised rocks was made. On the basis of ore structures, textures and mineral assemblages, three main phases of ore minerals succession have been distinguished. The first phase is represented by primary ore minerals like ehromite and ilmenite. The second one is closely related to serpentinisation process and characterized by the occurrence of minerals like magnetite and Fe-Cr spinels, and also pentlandite, millerite, polydymite. The last stage is related to the oxidation process and represented by hematite. The presented results are part of the research which is still in progress and is focused on better understanding of metallogenic processes which occurred in the studied area.
EN
This article discusses the disadvantages of the existing solutions for extraction of information from databases. A solution is proposed, whose main purpose is to facilitate the extraction of information from a database using a natural Polish language as a database query language. It focuses in this area on a serious problem which is the correct interpretation and extraction of the conditions used in queries formulated in natural Polish language. Now instead of forcing user to learn complex query language, graphic user interfaces are developed, which cover all required functionality. Thanks to GUI, user can extract all required data. Disadvantages of this kind of systems is fact, that they allow extract only those data which have been specified during designing an informatic system. To increase functionality for that kind of systems, we should add new functions what may generate additional cost. Scientists by increasing functionality of query languages trying to create more user-friendly query language. Thanks to that, user can work with database systems in more natural way for him. In papers the prototype system is shown, which main purpose is using natural Polish language as a database query language. Authors discuss problems which was met by researcher during designing that kind of system. Main problem which is described in article is a problem extraction of query condition, which is required by WHERE function of SQL and used for filter results of extracted data. In papers Authors discuss problem for extracting words and conversion of them to equivalent names of columns and tables. They also propose an algorithm, which allow to identify all required data. Based on these data is possible to create database query equivalent to the meaning of query create in natural Polish language.
PL
W opracowaniu przedstawiono problem transformacji zapytań w języku naturalnym na równoważne zapytania w języku baz danych. Omówiono problem ekstrakcji informacji o modelu danych w bazie oraz przedstawiono system odpowiadający za ekstrakcję tychże informacji. Zostały poruszone również problemy, które pozostały do rozwiązania w przyszłości.
EN
This paper describes a problem of transformation from natural language queries into equivalent queries in databases. It discusses the problem of extracting information about the data model in database and provides a system responsible for extraction of such information. Authors also point out remaining problems to be solved in the future.
4
Content available remote Ewolucja realizacji zapytań w systemach akwizycji wiedzy
PL
W artykule przedstawiono rozwój modeli baz danych I ewolucję realizacji zapytań w systemach akwizycji wiedzy z baz danych. Omówiono modele: hierarchiczny, sieciowy i relacyjny. Ich rozwinięciem są modele rozmyte oraz obiektowe (semantyczne). Wskazano prawdopodobne kierunki rozwoju systemów baz danych i realizacji zapytań.
EN
The paper presents the development of databases models and the evolution of questions realization In knowledge acquisition from databases systems. Hierarchical, network and relational models has been discussed. Their deployments are fuzzy models and object-oriented (semantic) models. Probable directions of the development of databases systems and queries realizations has been showed.
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