2011 International Conference on Semantic Technology and Information Retrieval最新文献_第5页

A fundamental study on detecting head modifier noun phrases in Malay sentence 马来语句子中头部修饰语名词短语检测的基础研究

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995798

S. Rahman, N. Omar, M. J. Aziz

引用次数: 8

Semantic structure content for dynamic web pages 动态网页的语义结构内容

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995763

M. Farouk, Mitsuru Ishizuka

引用次数: 2

KM practice in community college — KM framework towards KMS 社区学院知识管理实践——面向知识管理的知识管理框架

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995800

M. Yusoff, J. Jaafar, A. Mahmood

引用次数: 0

Ontology-based indexing of annotated images using semantic DNA and vector space model 使用语义DNA和向量空间模型的基于本体的标注图像索引

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995762

S. A. Fadzli, R. Setchi

{"title":"Ontology-based indexing of annotated images using semantic DNA and vector space model","authors":"S. A. Fadzli, R. Setchi","doi":"10.1109/STAIR.2011.5995762","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995762","url":null,"abstract":"The study presented in this paper focuses on the preprocessing stage of image retrieval by proposing an ontology-based indexing approach which captures the meaning of image annotations by extracting the semantic importance of the words in them. The indexing algorithm is based on the classic vector-space model that is adapted by employing index weighting and a word sense disambiguation. It uses sets of Semantic DNA, extracted from a lexical ontology, to represent the images in a vector space. As discussed in the paper, the use of Semantic DNA in text-based image retrieval aims to overcome some of the major drawbacks of well known traditional approaches such as ‘bags of words’ and term frequency-(TF) based indexing. The proposed approach is evaluated by comparing the indexing achieved using the proposed semantic algorithm with results obtained using a traditional TF-based indexing in vector space model (VSM) with singular value decomposition (SVD) technique. The experimental results show that the proposed ontology-based approach generates a better-quality index which captures the conceptual meaning of the image annotations.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"52 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":"128589393","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: 1

Morphological analysis for rule based machine translation 基于规则的机器翻译形态学分析

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995799

A. Hatem, N. Omar, Khalid Shaker

引用次数: 8

Conceptual summarization using ontologies and nearest neighborhood clustering 使用本体和最近邻聚类的概念摘要

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995756

Elaheh Gavagsaz, Mahmoud Naghibzadeh, Mehrdad Jalali

引用次数: 1

Statistical malay part-of-speech (POS) tagger using Hidden Markov approach 使用隐马尔可夫方法的统计马来语词性标注器

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995794

H. Mohamed, N. Omar, M. J. Aziz

{"title":"Statistical malay part-of-speech (POS) tagger using Hidden Markov approach","authors":"H. Mohamed, N. Omar, M. J. Aziz","doi":"10.1109/STAIR.2011.5995794","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995794","url":null,"abstract":"Assigning part of speech to running words in a sentence is one of the pipeline processes in Natural Language Processing (NLP) tasks. In this paper, a statistical POS tagger using trigram Hidden Markov Model for tagging Malay language sentences is examined. The problem of the tagger approach is to predict the POS for unseen words in the training corpus that can guess word's POS based on their surrounding information. The predictor has been built based on information of word's prefixes, suffixes or combination of them. Linear successive abstraction has been used for smoothing the probability distribution of part of speech for unknown Malay words given their prefixes or suffixes information. However, for the combination of prefixes and suffixes information, the joint probability distribution has been used. The best performance to predict POS of unknown words are obtained through prefixes information by seeing the first three characters of the words. The accuracy of the tagging is 67.9%. This shows that a statistical tagger for Malay language using Hidden Markov Model is able to predict any unknown word's POS at some promising accuracy.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"3 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":"131809478","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: 30

Semantic keyword search for expert witness discovery 基于语义关键字搜索的专家证人发现

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995759

Siraya Sitthisarn, L. Lau, P. Dew

引用次数: 3

OntoAbsolute as a ontology evaluation methodology in analysis of the structural domains in upper, middle and lower level ontologies OntoAbsolute作为一种本体评价方法，用于分析上、中、低层本体的结构域

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995760

M. Amirhosseini, J. Salim

{"title":"OntoAbsolute as a ontology evaluation methodology in analysis of the structural domains in upper, middle and lower level ontologies","authors":"M. Amirhosseini, J. Salim","doi":"10.1109/STAIR.2011.5995760","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995760","url":null,"abstract":"Ontology researchers struggle to propose various methods and methodology in ontology evaluation as reference sources for ontology engineering and evaluating process. In this paper, we intend to explain a new ontology evaluation methodology (i.e., OntoAbsolute) which it is proposed to evaluate structural domains in semantic relations and concepts in upper, middle and lower ontologies. In 2007, a modern method was proposed in quantitative evaluation of the structural domains in knowledge organizations based on Kant's Epistemology. OntoAbsolute relies on the modern quantitative evaluation method to evaluate simplicity and unity concepts (i.e., meta-properties) in the structural domains in concepts and their relations via proposed criteria and related measures. OntoAbsolute has a capacity to develop new criteria and measures to access cognitive results in ontology as a whole. OntoAbsolute is similar to OntoClean in terms of domain-independent feature and meta-properties usage and also OntoAbsolute consists of the same structure to classify the characteristics (i.e., multi-level framework) with OntoMetric.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"25 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120968759","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: 6

XML semantic constraint validation for XML updates: A survey XML更新的XML语义约束验证:综述

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995765

Norfaradilla Wahid, E. Pardede

{"title":"XML semantic constraint validation for XML updates: A survey","authors":"Norfaradilla Wahid, E. Pardede","doi":"10.1109/STAIR.2011.5995765","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995765","url":null,"abstract":"XML databases are commonly used for representing data with more complex structures than traditional relational data. Like in any data model, it is very important to ensure that the contents of the database always valid even after any attempt of updates. XML Updates validation is a process of checking the correctness of XML documents, in terms of satisfying their constraints, after updates operations. The validation can be generally categorized into structural and semantic validation. The first validation is to ensure that all XML nodes in the documents conform to structural information in its associated schema. Meanwhile, the second validation checks the integrity constraints of the documents, and it involve various factors such as the functional dependencies, domain constraint, inheritance, etc. In this paper, we provide a preliminary survey of semantic validation w.r.t XML Updates. The work of validation usually applied either upon any attempt of updates or in a scheduled period. We compare the output gain by works in terms of operation of update, the composition, types of constraint, etc. It shows that even though there are abundant of studies in this area, not much work has investigated a complete semantic validation of different semantic constraints. The constraints are still strongly dependent on structural information of documents and lied only on the data access tier of application architecture.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"32 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121008757","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: 5