2011 International Conference on Semantic Technology and Information Retrieval最新文献_第3页

A review of retrospective news event detection 回顾性新闻事件检测综述

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995790

Qusai Ramadan, M. Mohd

引用次数: 8

A framework for semantic forum in e-learning education 电子学习教育中的语义论坛框架

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995768

Hazalina Hashim, S. Noah

引用次数: 0

Clustering patent document in the field of ICT (Information & Communication Technology) ICT (Information & Communication Technology)领域专利文献聚类

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995789

A. Widodo, I. Budi

{"title":"Clustering patent document in the field of ICT (Information & Communication Technology)","authors":"A. Widodo, I. Budi","doi":"10.1109/STAIR.2011.5995789","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995789","url":null,"abstract":"The current classification of patent data that refers to the IPC (International Patent Classification) of the WIPO (World Intellectual Property Organization), deemed not reflect the classification of the field of ICT (Information & Communication Technology). ICT applications are usually included in sections G (Physics) and H (Electricity). This paper will evaluate the eight groupings of patents based on the IPC classes (G01, G06, G09, G11, H01, H03, H04, and H06) of patents registered in the Directorate General of Intellectual Property Rights in Indonesia, from the year 1991 to 2000. The algorithm used to grouping is KMeans, KMeans++, Hierchical Clustering, and a combination of these three algorithms with SVD (Singular Value Decomposition). For external validation, Purity and F-Measure are used, whereas Silhouette is used for internal validation. From the experimental results it can be concluded that SVD provides improvements to the clustering results. In addition, the use of abstract does not necessarily improve the performance of clustering, and the use of phrase does not always yield better cluster than the use of the word as index. Moreover, no cluster has purity measure greater than 50%, which means that the existing IPC classification has not been able to accommodate the field of ICT appropriately.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Knowledge Management Systems for emergency managers: Malaysian perspective 应急管理人员的知识管理系统:马来西亚视角

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995804

Magiswary Dorasamy, Murali Raman, S. Muthaiyah, M. Kaliannan

{"title":"Knowledge Management Systems for emergency managers: Malaysian perspective","authors":"Magiswary Dorasamy, Murali Raman, S. Muthaiyah, M. Kaliannan","doi":"10.1109/STAIR.2011.5995804","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995804","url":null,"abstract":"Recent disasters in Malaysia which was composed of major floods and landslides events proved that despite past experiences and strong disaster management mechanism, life and property losses is still unavoidable. Our proposition is the disaster planning and response efforts need a more prudent solution in order to reduce life and property losses. This paper attempts to answer how emergency managers and responders can benefit from an information and communication technology (ICT) in the form of a Knowledge Management Systems (KMS) implementation to support their planning and response efforts, hence reduce the losses. The paper examines recent literatures in the context of KMS for disasters. The findings of this paper are twofold. First, it points out the role and possible usage of KMS to improve the effectiveness of planning and response efforts for emergency managers and secondly, the important factors to consider in developing an effective KMS for disaster. The knowledge gained from this studies should help emergency managers learn from past disasters that already been so costly to society.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123815423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Producing complete modules in ontology partitioning 生成完整的本体划分模块

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995778

Maryam Jafari Sharif Abadi, K. Zamanifar

引用次数: 6

Word Sense Disambiguation by using domain knowledge 基于领域知识的词义消歧

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995795

W. Lee, E. Mit

引用次数: 17

Phonetic coding methods for Malay names retrieval 马来语人名检索的语音编码方法

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995776

Norhasimawati Abdul Mutalib, S. Noah

{"title":"Phonetic coding methods for Malay names retrieval","authors":"Norhasimawati Abdul Mutalib, S. Noah","doi":"10.1109/STAIR.2011.5995776","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995776","url":null,"abstract":"Searching for person names has been very popular among users of information systems and search engines. Thus, the effectiveness, accuracy and appropriateness of search results are strongly emphasized. Information retrieval (IR) methods provide high impact in influencing the searching results. Efforts in improving the IR methods have been made due to the fact that names are not unique and have varieties of spelling. This will caused errors during the process of getting accurate names. Searching based on phonetic is said to be a suitable method to solve the aforementioned problem because names have limited spelling standards. Phonetic method is used to recognize and retrieve words that have the same pronunciation. The main aim of this paper is to test the effectiveness of phonetic coding method on Malay name retrieval using Soundex and modified-Asoundex (Asoundex is an Arabic Soundex). The experimental approach used to perform this research consists of two stages; program development and testing Malay name data sets. The development of programs referred to the existing algorithms to generate name code. Code generated from program will be compared with data contained in the test data. The effectiveness of the result is determined by comparing the output with the result obtained from both phonetic approaches. Evaluation is based on the precision and recall measures. The contribution of the research is to provide comparative accuracy of Malay name retrieval using Soundex and modified-Asoundex coding method. Result show that an average of 38.38% improvement of the precision measure has been achieved.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114835307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Evaluation of Quranic text retrieval system based on manually indexed topics 基于人工索引主题的古兰经文本检索系统评价

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995781

A. M. Sultan, A. Azman, R. A. Kadir, M. T. Abdullah

引用次数: 8

Enriching non-taxonomic relations extracted from domain texts 丰富从领域文本中提取的非分类关系

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995772

N. Nabila, Ali Mamat, M. Azmi-Murad, N. Mustapha

引用次数: 5

Mining user activity as a context source for search and retrieval 挖掘用户活动作为搜索和检索的上下文源

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995782

Zhengwei Qiu, A. Doherty, C. Gurrin, A. Smeaton

引用次数: 13