• Proceedings of the Korean Information Science Society Conference
• /
• 2007.10c
• /
• pp.29-34
• /
• 2007

월드와이드웹에서의 정보를 재사용, 공유할 수 있도록 기준을 제시한 XML은 많은 곳에서 사용 중에 있으며, 널리 확산되고 있다. 사용자 정의태그를 이용한 XML의 특징은, 같은 도메인의 문서라도 사랑의 인식이 아닌 컴퓨터와 같은 기계적으로는 다르게 인식될 수 있다는 문제점을 드러내기도 한다. 본 논문에서는 이러한 문제점을 해결하고자 시소러스와 온톨로지 등을 이용해 XML 문서간 유사도를 측정하는 방법을 제시하며 이를 바탕으로 제작한 프로그램인 #XML Similarity Calculation# 를 이용하여 제시한 방법이 타당하다는 것을 증명하게 된다. 또한 주어진 예시자료를 가지고 이 프로그램의 성능평가를 통해 정확성과 효율성을 평가하고 앞으로의 연구방향을 제시한다.

• Annual Conference on Human and Language Technology
• /
• 2008.10a
• /
• pp.75-78
• /
• 2008

온톨로지 어노테이션(Annotation)과정은 수동에 의해 대부분의 문서 처리 작업이 진행되고 있다. 그러므로 계획적이지 않은 문서 처리는 자칫 일관성이나 효율성을 떨어뜨릴 수가 있다. 예를 들어, 처리되는 문서들의 도메인이 자주 바뀌면, 수동 어노테이션을 하는 작업자는 객관성을 잃을 가능성이 높다. 따라서, 본 연구에서는 처리되는 문서집합의 도메인이 최대한 연관성이 유지되도록 처리 문서를 집합하여 나열하는 알고리즘을 소개한다. 첫번째로, 문서들을 유사한 주제 집합으로 형성한다. 두번째로, 두개 이상의 집합에 겹치는 문서들을 계산한다. 마지막으로, 이러한 겹침이 최대화 되도록 문서들의 처리 순서를 나열한다. 본 알고리즘을 IT관련 위키피디아 문서집합을 이용하여 평가를 시행했다. 평가 결과 우리의 알고리즘을 이용하면 처리되는 문서들의 도메인 이동이 무작위로 처리하는 것 보다 연속적이었음을 수치상으로 계산할 수 있었다.

• Journal of Intelligence and Information Systems
• /
• v.24 no.1
• /
• pp.253-266
• /
• 2018

This paper proposes a methodology applying sequence tagging methodology to improve the performance of NER(Named Entity Recognition) used in QA system. In order to retrieve the correct answers stored in the database, it is necessary to switch the user's query into a language of the database such as SQL(Structured Query Language). Then, the computer can recognize the language of the user. This is the process of identifying the class or data name contained in the database. The method of retrieving the words contained in the query in the existing database and recognizing the object does not identify the homophone and the word phrases because it does not consider the context of the user's query. If there are multiple search results, all of them are returned as a result, so there can be many interpretations on the query and the time complexity for the calculation becomes large. To overcome these, this study aims to solve this problem by reflecting the contextual meaning of the query using Bidirectional LSTM-CRF. Also we tried to solve the disadvantages of the neural network model which can't identify the untrained words by using ontology knowledge based feature. Experiments were conducted on the ontology knowledge base of music domain and the performance was evaluated. In order to accurately evaluate the performance of the L-Bidirectional LSTM-CRF proposed in this study, we experimented with converting the words included in the learned query into untrained words in order to test whether the words were included in the database but correctly identified the untrained words. As a result, it was possible to recognize objects considering the context and can recognize the untrained words without re-training the L-Bidirectional LSTM-CRF mode, and it is confirmed that the performance of the object recognition as a whole is improved.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.5
• /
• pp.133-145
• /
• 2013

The objective of this study is to contribute effective operation of traffic information center by traffic information data measure process which are now being serviced by frame work of traffic information and by providing traffic information assessment criteria which reliable traffic information throughout traffic information quality characteristics in intelligent transport system. For the objectives, we analyzed the information attribute of ontology technique for quality management of traffic information in system engineering database research area. Throughout the result of this study, SE database utilized the development of subsystems, the component and interface design for convenient and rapid information services, and diverse related reliable systems design and expected to be indicated in systematic database.

• Journal of Korean Society of Archives and Records Management
• /
• v.17 no.1
• /
• pp.217-244
• /
• 2017

With the development of information technology, users can freely search records and archives without the involvement of archivists. However, existing records retrieval systems show only partial search results, which do not consider the users' intention. To overcome this problem, semantic web technology is being developed, and the International Council on Archives (ICA) is working to develop RIC (Records In Context), a new archival description standard, which reflects the trend. The conceptual model for archival description and its ontology of RIC are the basis for implementing semantic-based retrieval. In other words, it is necessary to consider the viewpoint of the users on how the records retrieval based on meaning should be designed and provided. Therefore, this study selected three cases of systems, which are built as semantic web technology, and conducted interviews of the users for the evaluation of the systems based on user experience. This study proposes the kind of interface that can be implemented for the ontology-based record retrieval system.

• Journal of KIISE:Databases
• /
• v.33 no.7
• /
• pp.727-740
• /
• 2006

Schema matching is important as a prerequisite to the transformation of XML documents. This paper presents a schema matching method for the transformation of XML documents. The proposed method consists of two steps: preliminary matching relationships between leaf nodes in the two XML schemas are computed based on proposed ontology and leaf node similarity, and final matchings are extracted based on a proposed path similarity. Particularly, for a sophisticated schema matching, the proposed ontology is incrementally updated by users' feedback. furthermore, since the ontology can describe various relationships between concepts, the proposed method can compute complex matchings as well as simple matchings. Experimental results with schemas used in various domains show that the proposed method is superior to previous works, resulting in a precision of 97% and a recall of 83 % on the average. Furthermore, the dynamic ontology increased by 9 percent overall.

• Journal of KIISE:Databases
• /
• v.35 no.3
• /
• pp.243-256
• /
• 2008

With rapid growth of Internet, the amount of information in the Web is increasing exponentially. However, information on the current Web is understandable only for human, and thus it makes the exact information retrieval difficult. For solving this problem, the Semantic Web is suggested and we must use ontology languages that can endow data to semantics for implementing it. One of the representative ontology languages is OWL(Web Ontology Language) adopted as a recommendation by the World-Wide Web Consortium. OWL has richer expression power and formal semantics than other ontology languages such as RDF and RDF-S. In addition, OWL includes hierarchical structure information between classes or properties. Therefore, an efficient OWL storage model considering hierarchical structure for effective information retrieval on the Semantic Web is required. In this paper, we suggest the XPOS(XPath-based OWL Storage) model including hierarchy information between classes or properties as XPath form and enabling intuitive and effective information retrieval. Also, we show the comparative evaluation results on the performance of XPOS model, Sesame, and the XML storage-based storage model regarding query processing.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.4
• /
• pp.700-713
• /
• 2009

Most of any existing classification algorithm in data mining area have focused on goals improving efficiency, which is to generate decision tree more rapidly by utilizing just less computing resources. In this paper, we focused on the efficiency as well as effectiveness that is able to generate more meaningful classification rules in application area, which might consist of the ontology automatic generation, business environment and so on. For this, we proposed not only novel function with the weight of support and confidence degree but also analyzed the characteristics of the weighted function in theoretical viewpoint. Furthermore, we proposed novel classification algorithm based on the weighted function and the characteristics. In the result of evaluating the proposed algorithm, we could perceive that the novel algorithm generates more classification rules with significance more rapidly.

• The Journal of Society for e-Business Studies
• /
• v.21 no.4
• /
• pp.1-14
• /
• 2016

Semantic search is known as a series of activities and techniques to improve the search accuracy by clearly understanding users' search intent without big cognitive efforts. Usually, semantic search engines requires ontology and semantic metadata to analyze user queries. However, building a particular ontology and semantic metadata intended for large amounts of data is a very time-consuming and costly task. This is why commercialization practices of semantic search are insufficient. In order to resolve this problem, we propose a novel semantic search method which takes advantage of our previous semantic tensor space model. Since each term is represented as the 2nd-order 'document-by-concept' tensor (i.e., matrix), and each concept as the 2nd-order 'document-by-term' tensor in the model, our proposed semantic search method does not require to build ontology. Nevertheless, through extensive experiments using the OHSUMED document collection and SCOPUS journal abstract data, we show that our proposed method outperforms the vector space model-based search method.

• Journal of KIISE:Information Networking
• /
• v.32 no.2
• /
• pp.123-133
• /
• 2005

In recent years, service discovery is one of the major technologies of home networks which head for a pervasive computing environment. However, existing service discovery techniques are difficult to understand semantics, and they only provide syntactic level service matching. To solve these problems, we have designed and developed ontology for semantic service discovery. Our ontology could enrich the amount of devices and services representations with semantics, and the relation of devices and service could be efficiently described through primitive service. For representing context information of devices, we describe attributes of device including location information, device status and etc. To determine whether the developed ontology can be applied to service discovery systems, we have implemented a semantic service discovery system by extension of the existing Jini lookup service. Also, we have evaluated our ontology with associated software environment according to some experiment scenarios, and have proved the usefulness of our ontology-based semantic service discovery system.