A comparative analysis of adjectives in the novel The Great Gatsby and the historical text A History of WomenJasmina Romanić
, 2011, diplomsko delo
Opis: The theme of this graduation thesis is a comparative analysis of adjectives in the novel The Great Gatsby and the historical text A History of Women. The purpose was to theoretically define and classify adjectives according to position, formation, grading, and semantic grouping; and to use this theory for a comparative analysis. Therefore, the main structure of theoretical part of the thesis is based on Biber’s Grammar of spoken and written English, and Blaganje’s Modern English Grammar. The principal object was to find out differences between adjectives in literary and non-literary texts, in this case between the novel The Great Gatsby and the historical text A History of Women. The results showed that in the selected sample of seven pages of both texts there are 51% more adjectives in The Great Gatsby than in A History of Women, and that in both texts attributive adjectives predominate. A History of Women has 1% more of attributive adjectives than The Great Gatsby. The research was carried out manually, while the statistical results are shown in graphs made by a computer. The methods used in thesis are the descriptive method and causal non-experimenting method.
Ključne besede: position of adjectives, formation of adjectives, grading of adjectives, semantic grouping of adjectives, a comparative analysis of adjectives in The Great Gatsby and A History of Women
Objavljeno: 28.02.2012; Ogledov: 2346; Prenosov: 143
Celotno besedilo (1,28 MB)
Semantic web as an enabling technology for better e-services addoptionLuka Pavlič
, Marjan Heričko
, 2012, objavljeni znanstveni prispevek na konferenci
Opis: E-services have significantly changed the way of doing business in recent years. We can, however, observe poor use of these services. There is a large gap between supply and actual eservices usage. This is why we started a project to provide an environment that will encourage the use of e-services. We believe that only providing e-service does not automatically mean consumerswould use them. This paper shows the origins of our project and its current position. We discuss the decision of using semantic web technologies and their potential to improve e-services usage. We also present current knowledge base and its real-world classification. In the paper, we discuss further work to be done in the project. Current state of the project is promising.
Ključne besede: e-services repository, ontologies, semantic web
Objavljeno: 01.06.2012; Ogledov: 1030; Prenosov: 20
Povezava na celotno besedilo
A question answering system on domain specific knowledge with semantic web supportBorut Gorenjak
, Marko Ferme
, Milan Ojsteršek
, 2011, izvirni znanstveni članek
Opis: In today's world the majority of information is accessible via the World Wide Web. A common way to access this information is through information retrieval applications like web search engines. We already know that web search engines flood their users with enormous amount of data from which they cannot figure out the essential and most important information. These disadvantages can be reduced with question answering systems. The basic idea of question answering systems is to be able to provide answers to a specific question written in natural language. The main goal of question answering systems is to find a specific answer. This paper presents an architecture of our ontology-driven system that uses semantic description of the processes, databases and web services for question answering system in the Slovenian language.
Ključne besede: ontology, natural language processing, question answering system, semantic web, web ontology language
Objavljeno: 01.06.2012; Ogledov: 1876; Prenosov: 32
Celotno besedilo (807,82 KB)
SEMANTIČNI WIKI ZDRAVSTVENIH STORITEVSaša Rukav
, 2012, diplomsko delo
Opis: V diplomski nalogi je predstavljena tehnologija semantični wiki. Najprej je na kratko obravnavano področje semantičnega spleta. Nato so opisani koncepti semantičnega wikija ter njegove prednosti, izpostavljeni so njegovi potenciali in uporabnost. Večji del naloge je namenjen predstavitvi Semantičnega wikija zdravstvenih storitev, ki je bil razvit v sklopu praktičnega dela diplomske naloge. Podrobno je razloženo, kako poteka razvoj semantičnega wikija z MediaWiki programsko opremo in njenimi semantičnimi razširitvami.
Ključne besede: semantični wiki, semantični splet, Semantic MediaWiki, spletni portal, zdravstvene storitve
Objavljeno: 26.11.2012; Ogledov: 928; Prenosov: 66
Celotno besedilo (4,35 MB)
RAZVOJ SPLETNEGA PORTALA ZA UPRAVLJANJE ZNANJA ZA GRADBENI PROJEKT V OBČINI SELNICA OB DRAVIKarl Lampreht
, 2014, diplomsko delo
Opis: Posameznikovo znanje predstavlja pomemben del vsakega podjetja. Temeljna naloga le-tega bi morala biti ohranjanje znanja, kar je ključno za njegovo uspešnost. Podjetja morajo potem-takem poznati upravljanje znanja in njegove lastnosti ter ga tudi izvajati.
Obstaja več načinov ohranjanja oz. upravljanja znanja. Diplomsko delo opisuje uporabo informacijske tehnologije, natančneje semantičnega portala. Programska oprema MediaWiki, ob semantičnih razširitvah Semantic MediaWiki, nam ravno omogoča upravljanje znanja. To upravljanje je prikazano na primeru izgradnje kanalizacije in čistilne naprave v Občini Selnica ob Dravi. Rezultat je semantični portal, ki omogoča podjetju – tokrat že omenjeni občini – obdržati znanje.
Ključne besede: gradbeništvo, gradbeni projekt, inženirstvo znanja, upravljanje znanja, modeliranje znanja, spirala znanja, eksplicitno in tacitno znanje, portal, semantični splet, MediaWiki, Semantic MediaWiki.
Objavljeno: 03.11.2014; Ogledov: 1211; Prenosov: 72
Celotno besedilo (3,50 MB)
Constructing domain-specific semantic dictionaries to supplement domain-specific knowledge basesGoran Hrovat
, Milan Ojsteršek
, objavljeni znanstveni prispevek na konferenci
Opis: Semantic dictionaries as well as knowledge bases are im- portant source of information for natural language process- ing. Using corpus and algorithms for constructing semantic space, we can quickly construct semantic dictionary, which is exploit to supplement the knowledge base. Algorithm for constructing semantic space, COALS was chosen. Semantic distance between terms in semantic space reveals their sim- ilarity, which is used to add semantic relationships in the dictionary. Semantic dictionary also serves to assist in iden- tifying entities and in relation extraction, to supplement the knowledge base.
Ključne besede: semantic space, correlation, semantic dictionary, knowledge base
Objavljeno: 22.06.2015; Ogledov: 802; Prenosov: 23
Povezava na datoteko
Context aware exception handling in business process execution languageJurij Laznik
, Matjaž B. Jurič
, 2013, izvirni znanstveni članek
Ključne besede: upravljanje napak v BPEL, semantični splet, upravljanje napak poslovnih procesov, SOA, vzorci upravljanja napak v delovnih tokovih, BPEL fault handling, semantic web, business process exception handling, SOA, workflow exception handling patterns
Objavljeno: 10.07.2015; Ogledov: 529; Prenosov: 77
Povezava na celotno besedilo
Suggestopedia - a theoretical approach to understanding its principles and reasons for its use in practiceAndrej Karner
, 2016, diplomsko delo
Opis: Suggestopedia is a teaching method, originally developed by psychiatrist Dr. Georgi Lozanov, the foundations of which are built upon the knowledge of psychology, neurology and linguistics.
By combining the knowledge of suggestology, medical facts and well-established psychological effects, Lozanov attempted to reconcile various aspects of this knowledge by their systematic and strategic integration. This has been achieved by using suggestion as a common denominator, and creating the carefully coordinated “set-up” (preparation of the classroom and the students) which would then make tapping into the “hidden reserves” of our brain possible.
Lozanov argues that these reserve capacities, although present, are normally more or less inhibited by parasitic conscious and subconscious thought processes, which he calls barriers, and that it is critical to discard or override, i.e. de-suggest them, and then suggest new standards prior to any language teaching. Hence, this involves the process of suggesting as well as the process of de-suggesting, i.e. erasing negative ideas by setting and anchoring positive ones.
In every-day life, language (mother tongue or foreign language) is by far more dependent on subconscious processes (automaticity) than on conscious ones. In fact, it is believed that about 95% of the language acquisition happens by employing these subconscious mechanisms. And this is believed to give us fluency and grammatical accuracy at the same time.
Since it makes sense that the acquisition of knowledge should follow the principle of economy and efficiency, and, at the same time, should have a solid scientific support, the fact that suggestopedia, in addition to employing various types of suggestions, also makes use of almost all known beneficial psychological effects found in humans makes this method rather scientifically plausible.
In Slovenian elementary schools suggestopedia did not establish itself either as the principal or alternative teaching method. One definitive reason for this situation is that the method is almost unknown. The other reason lies in the lack of appropriate (suggestopedic) teacher training which is mainly due to the first reason.
In terms of suggestopedia being applied as an alternative teaching method in Slovenian elementary schools, although a fair amount of mistrust towards the effectiveness of the method has been revealed, the general attitude of the teachers toward suggestopedia, nevertheless, is not negative or reluctive, but rather positive and embracive, and there is a general consensus that suggestopedia is an acceptable alternative to the standard way of teaching.
Ključne besede: Suggestopedia, Superlearning, memory enhancement, language acquisition, neurons, episodic memory, semantic memory
Objavljeno: 25.11.2016; Ogledov: 1299; Prenosov: 19
Celotno besedilo (20,69 MB)