• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.6
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• pp.323-344
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• 2002

EuroNet ist eine multilinguale Datenbasis mit WordNets $f\"{u}r\;einige\;europ\"{a}ische$ Sprachen ($holl\"{a}ndisch$, italienisch, spanisch, deutsch, $franz\"{o}sisch$, tschechisch und estnisch). Die WordNets werden genauso wie das amerikanische WordNet $f\"{u}r$ Englisch (Princeton WordNet, Miller et al. 1990) in Synsets (Zusammensetzen der synonymen $W\"{o}rter$) mit grundlegenden lexikalisch-semantischen Relationen zwischen ihnen $ausgedr\"{u}ckt$ strukturiert. Jedes WordNet stellt also ein einzigartiges innersprachliches System $f\"{u}r$ die lexikalischen und konzeptuellen Relationen dar. $Zus\"{a}tzlich$ werden diese auf dem Princeton WordNet basierten WordNets (z.B. GermaNet) mit einem Inter-Linguale-Index (kurz, ILI) verbunden. $\"{U}ber$ diesem Index werden die Sprachen zusammengeschaltet, damit zu gehen ist $m\"{o}glich$, von den $W\"{o}rtern$ in einer Sprache zu den $\"{a}hnlichen\;W\"{o}rtern$ in jeder $m\"{o}glicher$ anderen Sprache. Der Index gibt auch Zugang zu einer geteilten Top-Ontologie von 63 semantischen Unterscheidungen. Diese Top-Ontologie stellt einen allgemeinen semantischen Rahmen $f\"{u}r$ aile Sprachen zur $Verf\"{u}gung,\;w\"{a}hrend$ sprachspezifische Eigenschaften in den einzelnen WordNets beibehalten werden. Die Datenbasis kann, unter anderen, $f\"{u}r$ einsprachige und multilinguale Informationsretrieval benutzt werden. In der vorliegenden Arbeit handelt sich also um eine methodologische Untersuchung der koreanisch-deutschen ILI-Verbindung zur Anwendung der auf dem EuroNet basierten lexikalischen, semantischen Datenbasis. Dabei werden einzelnen Lexeme in koreanischen, deutschen WordNets $zun\"{a}chst$ mit Hilfe der Sense-Analyse semantisch differenziert, und dann durch lexikalische und konzeptuelle Relationen(ILI) miteinander verbunden. Die Equivalezverbindungen dienen, sprachspezifische Konzepte zum ILI abzubilden. Sie werden von einem anderen Synset der moglichen Relationen aus der Euronet-Spezifikation genommen. Wenn es keinen ILI-Rekord gibt, der ein direktes Equivalenz zu einem gegebenen Konzept darstellt, kann das Konzept in der Frage $\"{u}ber$ EQ-Near-Synonymie, EQ-Hyperonymie oder EQ-Hyponymie Relationen verbunden werden.

• The Journal of the Acoustical Society of Korea
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• v.16 no.6
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• pp.106-109
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• 1997

For the practical isolated word recognition system, the ability to reject the out-of -vocabulary(OOV) is required. In this paper, we present a rejection method which uses the clustered phoneme modeling combined with postprocessing by likelihood ratio scoring. Our baseline speech recognition system was based on the whole-word continuous HMM. And 6 clustered phoneme models were generated using statistical method from the 45 context independent phoneme models, which were trained using the phonetically balanced speech database. The test of the rejection performance for speaker independent isolated words recogntion task on the 22 section names shows that our method is superior to the conventional postprocessing method, performing the rejection according to the likelihood difference between the first and second candidates. Furthermore, this clustered phoneme models do not require retraining for the other isolated word recognition system with different vocabulary sets.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.875-878
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• 2007

Up until now, when a user search product information, the keyword-based search that mainly uses frequency of words or vocabulary information has been utilized in large. In the keyword-based research, the user should have to bear additional burden in order to search the displayed results manually once again because it shows those files that have no connection at all with the inquiries made by the user. To resolve such a problem, ontology has been emerged. In this paper, product search system using ontology was constructed directly and also tested how accurate search it does perform through the searching according to classification. To test this, about 40,000 product data of A discount store, which was operating on/off line discount stores, were constructed as database, and developmental environment for User Interface was tested by having developed the search system using JSP and PowerBuilder 9.0. Results from the test proved that the search method using Domain Ontology for product presented and designed in this paper was superior to the existing keyword-based search method.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.147-155
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• 2005

In this paper, we present a FAES(a Facial Animation with Emotion and Speech) system for speech-driven face animation with emotions. We animate face cartoons not only from input speech, but also based on emotions derived from speech signal. And also our system can ensure smooth transitions and exact representation in animation. To do this, after collecting the training data, we have made the database using SVM(Support Vector Machine) to recognize four different categories of emotions: neutral, dislike, fear and surprise. So that, we can make the system for speech-driven animation with emotions. Also, we trained on Korean young person and focused on only Korean emotional face expressions. Experimental results of our system demonstrate that more emotional areas expanded and the accuracies of the emotional recognition and the continuous speech recognition are respectively increased 7% and 5% more compared with the previous method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.160-161
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• 2017

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language Opinion mining and sentiment analysis(OMSA) as a research discipline has emerged during last 15 years and provides a methodology to computationally process the unstructured data mainly to extract opinions and identify their sentiments. The relatively new but fast growing research discipline has changed a lot during these years. This paper presents a scientometric analysis of research work done on OMSA during 2007-2016. For the literature analysis, research publications indexed in Web of Science (WoS) database are used as input data. The publication data is analyzed computationally to identify year-wise publication pattern, rate of growth of publications, research areas. More detailed manual analysis of the data is also performed to identify popular approaches (machine learning and lexcon-based) used in these publications, levels (documents, sentences or aspect-level) of sentiment analysis work done and major application areass of OMSA.

• Journal of Korean Society of Archives and Records Management
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• v.4 no.2
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• pp.76-90
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• 2004

There had been substantial demand for record management system with which to efficiently control the information circulation processes, involving accumulation of recorded materials, classification of information resources, and users access to them. It converged to a collaboration of Australian federation, and Sydney Records Centre and finally induced Australian Standard Records Management, commonly known as AS 4390. AS 4390 served later as a model for International Standard of Record Management. This paper introduces the current undertaking of Recordkeeping system development in Australia, which stems from the line of AS 4390 by analysing exhibited research approaches. The analysis includes the definition, regime of Recordkeeping system, design and implementing of guidelines of Recordkeeping System and information on metadata projects. It also highlights the necessity for standardization, as is the prime factor in promoting inter-linking of Tabularium on New Southwales State, CRS(Commonwealth Record Series), database system of Canberra National Archives and Australian Government Locator Service. From year 2005, as dictates, any record management system, serving public agency will be required to adapt Professional Archives Management System, which, by far, will enhance the inter-compatibility. In its application, the government need Thesaurus to eliminate possible redundancy in use of terminology and to promote correct usage of words.

• Korean Journal of Clinical Pharmacy
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• v.17 no.1
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• pp.6-12
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• 2007

The clinical investigations above suggest that topiramate may be an effective agent in the treatment of BED or BN by reducing binging/purging episodes, improving the HRQOL, and decreasing weight. The case report and case series also support these findings. However, there are several limitations in the above studies and cases. All these had relatively small sample size, and two of them were only 10-week-period studies. Optimal duration of treatment with topiramate in patients with BED or BN is unknown. As most clinicians treat the patient with BED or BN for 6 to 12 months and then reassess, at least 6 months period is needed to show its efficacy. One of studies included only women in the patient group. In the case series, all patients had severe comorbid mood disorders such as major depression and bipolar disorder besides BN. Therefore, notwithstanding its clinical usefulness, additional researches are needed to define the role and the benefits of topiramate in the treatment of BED or BN more thoroughly.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.43-59
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• 2019

Today, with the spread of smartphones and the development of social networking services, structured and unstructured big data have stored exponentially. If we analyze them well, we will get useful information to be able to predict data for the future. Large amounts of data need to be collected first in order to analyze big data. The web is repository where these data are most stored. However, because the data size is large, there are also many data that have information that is not needed as much as there are data that have useful information. This has made it important to collect data efficiently, where data with unnecessary information is filtered and only collected data with useful information. Web crawlers cannot download all pages due to some constraints such as network bandwidth, operational time, and data storage. This is why we should avoid visiting many pages that are not relevant to what we want and download only important pages as soon as possible. This paper seeks to help resolve the above issues. First, We introduce basic web-crawling algorithms. For each algorithm, the time-complexity and pros and cons are described, and compared and analyzed. Next, we introduce the state-of-the-art web crawling algorithms that have improved the shortcomings of the basic web crawling algorithms. In addition, recent research trends show that the web crawling algorithms with special purposes such as collecting sentiment words are actively studied. We will one of the introduce Sentiment-aware web crawling techniques that is a proactive web crawling technique as a study of web crawling algorithms with special purpose. The result showed that the larger the data are, the higher the performance is and the more space is saved.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.59-69
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• 2022

For effective battlefield situation awareness and command resolution, information exchange without seams between systems is essential. However, since each system was developed independently for its own purposes, it is necessary to ensure interoperability between systems in order to effectively exchange information. In the case of our military, semantic interoperability is guaranteed by utilizing the common message format for data exchange. However, simply standardizing the data exchange format cannot sufficiently guarantee interoperability between systems. Currently, the U.S. and NATO are developing and utilizing information exchange models to achieve semantic interoperability further than guaranteeing a data exchange format. The information exchange models are the common vocabulary or reference model,which are used to ensure the exchange of information between systems at the content-meaning level. The information exchange models developed and utilized in the United States initially focused on exchanging information directly related to the battlefield situation, but it has developed into the universal form that can be used by whole government departments and related organizations. On the other hand, NATO focused on strictly expressing the concepts necessary to carry out joint military operations among the countries, and the scope of the models was also limited to the concepts related to command and control. In this paper, the background, purpose, and characteristics of the information exchange models developed and used in the United States and NATO were identified, and comparative analysis was performed. Through this, we intend to present implications when developing a Korean information exchange model in the future.