Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995790
Qusai Ramadan, M. Mohd
Retrospective news event detection (RED) has been studied for many years in order to discover previous unidentified events. There are ongoing works done to improve RED techniques such as distance measure and clustering approaches to overcome issues such as huge dimensionality of data. This paper discusses three major sequential stages in RED (data preprocessing, data representation and data organization) and reports the limitation in each stage. Finally we present the suggested RED with respect to crimes domain.
{"title":"A review of retrospective news event detection","authors":"Qusai Ramadan, M. Mohd","doi":"10.1109/STAIR.2011.5995790","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995790","url":null,"abstract":"Retrospective news event detection (RED) has been studied for many years in order to discover previous unidentified events. There are ongoing works done to improve RED techniques such as distance measure and clustering approaches to overcome issues such as huge dimensionality of data. This paper discusses three major sequential stages in RED (data preprocessing, data representation and data organization) and reports the limitation in each stage. Finally we present the suggested RED with respect to crimes domain.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"41 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":"116401626","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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995768
Hazalina Hashim, S. Noah
Establishing an effective online forum is crucial to the success of development and support the creation of collaborative knowledge building community. However there exist some resistance for online forum being as an effective e-learning facility. As such, it is the interest of this research to support this learning facility through semantic technologies adaptation. A conceptual framework is proposed for holistic approach focussing on the development of the knowledge content and how this knowledge can be used by user through semantic forum in e-learning education.
{"title":"A framework for semantic forum in e-learning education","authors":"Hazalina Hashim, S. Noah","doi":"10.1109/STAIR.2011.5995768","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995768","url":null,"abstract":"Establishing an effective online forum is crucial to the success of development and support the creation of collaborative knowledge building community. However there exist some resistance for online forum being as an effective e-learning facility. As such, it is the interest of this research to support this learning facility through semantic technologies adaptation. A conceptual framework is proposed for holistic approach focussing on the development of the knowledge content and how this knowledge can be used by user through semantic forum in e-learning education.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"21 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":"122804595","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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995789
A. Widodo, I. Budi
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.
{"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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995804
Magiswary Dorasamy, Murali Raman, S. Muthaiyah, M. Kaliannan
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.
{"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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995778
Maryam Jafari Sharif Abadi, K. Zamanifar
Ontology modularization is an important part of ontology engineering for which the reduction of complexity and size of ontology, either breaks an ontology down to all the constituent parts(ontology partitioning) or extracts only a small part of the ontology(module extraction). The presented approach in this essay is concentrated on ontology partitioning. To have complete segments, we initially do the reasoning on ontology and then render the result of reasoning to Pato, a tool for partitioning. So, the generated modules are complete with appropriate size. Although reasoning on large ontologies is time consuming, it happens just one time and instead brings a lot of advantages which cannot be provided by other methods. For guaranteeing this claim, we assess the presented and former methods theoretically and practically and show that the proposed method causes the ontology to be parted properly and the resulted modules can be utilized by different tools like a self contained ontology.
{"title":"Producing complete modules in ontology partitioning","authors":"Maryam Jafari Sharif Abadi, K. Zamanifar","doi":"10.1109/STAIR.2011.5995778","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995778","url":null,"abstract":"Ontology modularization is an important part of ontology engineering for which the reduction of complexity and size of ontology, either breaks an ontology down to all the constituent parts(ontology partitioning) or extracts only a small part of the ontology(module extraction). The presented approach in this essay is concentrated on ontology partitioning. To have complete segments, we initially do the reasoning on ontology and then render the result of reasoning to Pato, a tool for partitioning. So, the generated modules are complete with appropriate size. Although reasoning on large ontologies is time consuming, it happens just one time and instead brings a lot of advantages which cannot be provided by other methods. For guaranteeing this claim, we assess the presented and former methods theoretically and practically and show that the proposed method causes the ontology to be parted properly and the resulted modules can be utilized by different tools like a self contained ontology.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"6 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":"124286676","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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995795
W. Lee, E. Mit
Over the decades, lot of studies had been carried out to suggest different approaches for Word Sense Disambiguation (WSD) process. From times to times, different approaches had been suggested to define the sense of a polysemous word. In this paper, a WSD approach with the domain knowledge will be discussed. In this approach, by using Wordnet, domains of each single word will be defined and a process of defining the best domain to be assigned to that particular word will be carried out. A method of calculating the weight of each domain to its corresponding word will be discussed. According to the weight assigned to each domain, the sense of the ambiguous word will be identified.
{"title":"Word Sense Disambiguation by using domain knowledge","authors":"W. Lee, E. Mit","doi":"10.1109/STAIR.2011.5995795","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995795","url":null,"abstract":"Over the decades, lot of studies had been carried out to suggest different approaches for Word Sense Disambiguation (WSD) process. From times to times, different approaches had been suggested to define the sense of a polysemous word. In this paper, a WSD approach with the domain knowledge will be discussed. In this approach, by using Wordnet, domains of each single word will be defined and a process of defining the best domain to be assigned to that particular word will be carried out. A method of calculating the weight of each domain to its corresponding word will be discussed. According to the weight assigned to each domain, the sense of the ambiguous word will be identified.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"393 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":"114313267","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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995776
Norhasimawati Abdul Mutalib, S. Noah
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.
{"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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995781
A. M. Sultan, A. Azman, R. A. Kadir, M. T. Abdullah
This paper investigates the effectiveness of a state of the art information retrieval (IR) system in the verse retrieval problem for Quranic text. The evaluation is based on manually indexed topics of the Quran that provides both the queries and the relevance judgments. Furthermore, the system is evaluated in both Malay and English environment. The performance of the system is measured based on the MAP, the precision at 1, 5 and 10, and the MRR scores. The results of the evaluation are promising, showing the IR system has many potential for the Quranic text retrieval.
{"title":"Evaluation of Quranic text retrieval system based on manually indexed topics","authors":"A. M. Sultan, A. Azman, R. A. Kadir, M. T. Abdullah","doi":"10.1109/STAIR.2011.5995781","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995781","url":null,"abstract":"This paper investigates the effectiveness of a state of the art information retrieval (IR) system in the verse retrieval problem for Quranic text. The evaluation is based on manually indexed topics of the Quran that provides both the queries and the relevance judgments. Furthermore, the system is evaluated in both Malay and English environment. The performance of the system is measured based on the MAP, the precision at 1, 5 and 10, and the MRR scores. The results of the evaluation are promising, showing the IR system has many potential for the Quranic text retrieval.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"167 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":"123277021","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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995772
N. Nabila, Ali Mamat, M. Azmi-Murad, N. Mustapha
Extracting non-taxonomic relations is one of the important tasks in the construction of ontology from the text. Most of current methods on identification and extraction of non-taxonomic relations is based on predicate representing relationships between two concepts, namely the relation between subject and object that occurs in a sentence. However, the number of relations that has been identified does not properly represent the domain as the methods only identify a portion of the total relations from domain texts. In this paper, we present a method that increases the number of relations extracted and thus properly represent the domain. In this method, all potential relations are first generated and then less significant ones, based on their frequency, are removed. The method has been tested on a collection of texts that described electronic voting machine and the result is encouraging.
{"title":"Enriching non-taxonomic relations extracted from domain texts","authors":"N. Nabila, Ali Mamat, M. Azmi-Murad, N. Mustapha","doi":"10.1109/STAIR.2011.5995772","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995772","url":null,"abstract":"Extracting non-taxonomic relations is one of the important tasks in the construction of ontology from the text. Most of current methods on identification and extraction of non-taxonomic relations is based on predicate representing relationships between two concepts, namely the relation between subject and object that occurs in a sentence. However, the number of relations that has been identified does not properly represent the domain as the methods only identify a portion of the total relations from domain texts. In this paper, we present a method that increases the number of relations extracted and thus properly represent the domain. In this method, all potential relations are first generated and then less significant ones, based on their frequency, are removed. The method has been tested on a collection of texts that described electronic voting machine and the result is encouraging.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"63 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":"131853636","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}
Pub Date : 2011-06-28DOI: 10.1109/STAIR.2011.5995782
Zhengwei Qiu, A. Doherty, C. Gurrin, A. Smeaton
Nowadays in information retrieval it is generally accepted that if we can better understand the context of searchers then this could help the search process, either at indexing time by including more metadata or at retrieval time by better modelling the user needs. In this work we explore how activity recognition from tri-axial accelerometers can be employed to model a user's activity as a means of enabling context-aware information retrieval. In this paper we discuss how we can gather user activity automatically as a context source from a wearable mobile device and we evaluate the accuracy of our proposed user activity recognition algorithm. Our technique can recognise four kinds of activities which can be used to model part of an individual's current context. We discuss promising experimental results, possible approaches to improve our algorithms, and the impact of this work in modelling user context toward enhanced search and retrieval.
{"title":"Mining user activity as a context source for search and retrieval","authors":"Zhengwei Qiu, A. Doherty, C. Gurrin, A. Smeaton","doi":"10.1109/STAIR.2011.5995782","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995782","url":null,"abstract":"Nowadays in information retrieval it is generally accepted that if we can better understand the context of searchers then this could help the search process, either at indexing time by including more metadata or at retrieval time by better modelling the user needs. In this work we explore how activity recognition from tri-axial accelerometers can be employed to model a user's activity as a means of enabling context-aware information retrieval. In this paper we discuss how we can gather user activity automatically as a context source from a wearable mobile device and we evaluate the accuracy of our proposed user activity recognition algorithm. Our technique can recognise four kinds of activities which can be used to model part of an individual's current context. We discuss promising experimental results, possible approaches to improve our algorithms, and the impact of this work in modelling user context toward enhanced search and retrieval.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"12 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":"134590527","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}
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