Pub Date : 2019-11-13DOI: 10.1504/ijkwi.2019.10025281
Nadia Soudani, Ibrahim Bounhas, Y. Slimani
In this paper, we propose to exploit different morpho-semantic resources to enhance Arabic information retrieval (IR). We use standardised LMF Arabic dictionaries and Arabic corpora. Our goal by this communication is to take advantage of the different existing resources to extract useful knowledge for Arabic IR. We equally study the impact of the Arabic morphology on IR effectiveness. Several query expansion strategies are carried based on morphological, semantic and morpho-semantic relations. In addition, combining such knowledge is also studied and evaluated. We experiment the effect of short diacritics and part of speech (POS) disambiguation and tagging in the indexing step. A graph-based representation is used to formalise knowledge resources graph-based representation. This latter represents a powerful formalism to express semantics of texts and to support NLP tools and applications as IR. Several experimental comparisons are handled between the different used knowledge resources and the different carried IR approaches.
{"title":"MOSSA: a morpho-semantic knowledge extraction system for Arabic information retrieval","authors":"Nadia Soudani, Ibrahim Bounhas, Y. Slimani","doi":"10.1504/ijkwi.2019.10025281","DOIUrl":"https://doi.org/10.1504/ijkwi.2019.10025281","url":null,"abstract":"In this paper, we propose to exploit different morpho-semantic resources to enhance Arabic information retrieval (IR). We use standardised LMF Arabic dictionaries and Arabic corpora. Our goal by this communication is to take advantage of the different existing resources to extract useful knowledge for Arabic IR. We equally study the impact of the Arabic morphology on IR effectiveness. Several query expansion strategies are carried based on morphological, semantic and morpho-semantic relations. In addition, combining such knowledge is also studied and evaluated. We experiment the effect of short diacritics and part of speech (POS) disambiguation and tagging in the indexing step. A graph-based representation is used to formalise knowledge resources graph-based representation. This latter represents a powerful formalism to express semantics of texts and to support NLP tools and applications as IR. Several experimental comparisons are handled between the different used knowledge resources and the different carried IR approaches.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121824396","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 : 2017-08-29DOI: 10.1504/IJKWI.2017.10007140
Koji Tanaka, M. Ikeda, Kazunori Mizushima, K. Nakabayashi
This study tackles the externalisation of a support method of learning how to learn from good practices. Additionally, we develop learning materials for sharing this support method. To establish a foothold in developing training materials, we look at human resource development initiatives at Hitachi, Ltd., and analyse a learning experience reported to have resulted in remarkable growth for a new employee, the method used by the mentor. Moreover, we externalise this method to share how the mentor supported the employee. The analysis results indicate that the employee was able to broaden his ability to learn, as his mentor provided support according to the knowledge building process. In this study, we discuss a model for learner-mentor interaction that follows the rotation of experiential learning on learning how to learn that was externalised in new employee training program and learning support methods.
{"title":"Learning how to learn with knowledge building process through experiences in new employee training: a case study on learner-mentor interaction model","authors":"Koji Tanaka, M. Ikeda, Kazunori Mizushima, K. Nakabayashi","doi":"10.1504/IJKWI.2017.10007140","DOIUrl":"https://doi.org/10.1504/IJKWI.2017.10007140","url":null,"abstract":"This study tackles the externalisation of a support method of learning how to learn from good practices. Additionally, we develop learning materials for sharing this support method. To establish a foothold in developing training materials, we look at human resource development initiatives at Hitachi, Ltd., and analyse a learning experience reported to have resulted in remarkable growth for a new employee, the method used by the mentor. Moreover, we externalise this method to share how the mentor supported the employee. The analysis results indicate that the employee was able to broaden his ability to learn, as his mentor provided support according to the knowledge building process. In this study, we discuss a model for learner-mentor interaction that follows the rotation of experiential learning on learning how to learn that was externalised in new employee training program and learning support methods.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131341645","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 : 2017-08-29DOI: 10.1504/IJKWI.2017.10007142
I. Osawa, T. Yoneda, Y. Takeda, M. Nakai, Mikiya Usukura, K. Abe, Yasuko Higashi, M. Ikeda
This paper proposes representations of psychological functions of online peer support services for diabetic patients and shows how the representations contribute to its collaborative design. It is important to explicitly represent the design of the psychological functions for sharing, discussing and revising the peer support services with patients and medical professionals. However, the design of the psychological functions remains highly implicit. In order to make the representation clearer, the conceptual definition of the psychological functions is necessary. This paper starts with what to design in the design processes of peer support services. Next, the concepts of psychological functions are analysed based on ontology. The design of psychological functions is represented based on the definition, and the online peer support services are designed. The trial use of the service and focus groups held with patients are explained to show how the designed functions and peer support services are shared, used, discussed, and revised. Lastly, contribution of the representations to the collaborative design is discussed.
{"title":"Representations of psychological function based on ontology for collaborative design of peer support services for diabetic patients","authors":"I. Osawa, T. Yoneda, Y. Takeda, M. Nakai, Mikiya Usukura, K. Abe, Yasuko Higashi, M. Ikeda","doi":"10.1504/IJKWI.2017.10007142","DOIUrl":"https://doi.org/10.1504/IJKWI.2017.10007142","url":null,"abstract":"This paper proposes representations of psychological functions of online peer support services for diabetic patients and shows how the representations contribute to its collaborative design. It is important to explicitly represent the design of the psychological functions for sharing, discussing and revising the peer support services with patients and medical professionals. However, the design of the psychological functions remains highly implicit. In order to make the representation clearer, the conceptual definition of the psychological functions is necessary. This paper starts with what to design in the design processes of peer support services. Next, the concepts of psychological functions are analysed based on ontology. The design of psychological functions is represented based on the definition, and the online peer support services are designed. The trial use of the service and focus groups held with patients are explained to show how the designed functions and peer support services are shared, used, discussed, and revised. Lastly, contribution of the representations to the collaborative design is discussed.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125539839","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 : 2017-08-29DOI: 10.1504/IJKWI.2017.10005990
T. Kojiri, Hiroki Ooe, Kazuhisa Seta
Design patterns are good designs in object-oriented design and are generated experientially by predecessors. The objective of this research is to develop a learning method for understanding the experience knowledge of developing a good design, which lies behind the design patterns. Design policy to create the design patterns can be understood deeply if learners could have similar experiences to predecessors' experience through trial and error producing the design patterns. In this paper, we propose a learning method of reliving predecessors' experience by transforming a program with a design pattern into that without a design pattern (alternative solution). Additionally, we develop a support system that encourages learners of experiencing the learning method. A support system holds the knowledge of appropriate alternative solution, which reduces the benefits of object-oriented design and generates advice so that learners can generate appropriate alternative solutions. Experimental results obtained using our support system showed that the proposed method was effective for a deep understanding of design patterns and the importance of the learning method.
{"title":"Learning by redesigning programs: support system for understanding design policy in software design patterns","authors":"T. Kojiri, Hiroki Ooe, Kazuhisa Seta","doi":"10.1504/IJKWI.2017.10005990","DOIUrl":"https://doi.org/10.1504/IJKWI.2017.10005990","url":null,"abstract":"Design patterns are good designs in object-oriented design and are generated experientially by predecessors. The objective of this research is to develop a learning method for understanding the experience knowledge of developing a good design, which lies behind the design patterns. Design policy to create the design patterns can be understood deeply if learners could have similar experiences to predecessors' experience through trial and error producing the design patterns. In this paper, we propose a learning method of reliving predecessors' experience by transforming a program with a design pattern into that without a design pattern (alternative solution). Additionally, we develop a support system that encourages learners of experiencing the learning method. A support system holds the knowledge of appropriate alternative solution, which reduces the benefits of object-oriented design and generates advice so that learners can generate appropriate alternative solutions. Experimental results obtained using our support system showed that the proposed method was effective for a deep understanding of design patterns and the importance of the learning method.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116817047","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 : 2015-03-01DOI: 10.1504/IJKWI.2015.075167
Poonam Goyal, N. Mehala, Navneet Goyal
The traditional query clustering algorithms are designed to work on previously collected data from query stream. These algorithms become less and less effective with time because users' interests, query meaning and popularity of topics change over time. So, there is a need for incremental algorithms which can accommodate the concept drift that surface with new data being added to the collection without performing a complete re-clustering. We have proposed an incremental model for query and query-context aware document clustering. The model periodically updates new information efficiently and can be applied in a distributed environment. The proposed incremental model retains the quality of both query and document clusters. The proposed model can be applied to the results of hierarchical query clustering algorithms that produce query and document clusters. The model is tested on three hierarchical clustering algorithms on different datasets including TREC session track 2011 dataset. We have also experimented with the variant of the proposed incremental model for comparing the performance. The proposed model and its variant not only achieve accuracy very close to that of static models in all the experiments, but also offer a significant speedup.
{"title":"Incremental models for query clustering and query-context aware document clustering","authors":"Poonam Goyal, N. Mehala, Navneet Goyal","doi":"10.1504/IJKWI.2015.075167","DOIUrl":"https://doi.org/10.1504/IJKWI.2015.075167","url":null,"abstract":"The traditional query clustering algorithms are designed to work on previously collected data from query stream. These algorithms become less and less effective with time because users' interests, query meaning and popularity of topics change over time. So, there is a need for incremental algorithms which can accommodate the concept drift that surface with new data being added to the collection without performing a complete re-clustering. We have proposed an incremental model for query and query-context aware document clustering. The model periodically updates new information efficiently and can be applied in a distributed environment. The proposed incremental model retains the quality of both query and document clusters. The proposed model can be applied to the results of hierarchical query clustering algorithms that produce query and document clusters. The model is tested on three hierarchical clustering algorithms on different datasets including TREC session track 2011 dataset. We have also experimented with the variant of the proposed incremental model for comparing the performance. The proposed model and its variant not only achieve accuracy very close to that of static models in all the experiments, but also offer a significant speedup.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817941","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 : 2015-03-01DOI: 10.1504/IJKWI.2015.075164
Ismail Art Yagci, Sanchoy K. Das
Web reviews are a readily available source of product intelligence. The hypothesis of this research is that web reviews also contain significant amounts of design information for product designers. The authors introduce the design-feature-opinion-cause relationship DFOC method, which effectively extracts design intelligence from unstructured web reviews. The DFOC method: 1 creates a sentence-based web review database; 2 mines the database to identify design features that are of interest to both designers and users; 3 extracts and estimates the significance and polarity of the customer opinions; 4 identifies the likely design cause of the customer opinion. DFOC utilises an association rule-based opinion mining procedure for capturing and extracting noun-adjective and noun-verb relationships. Application of the DFOC method utilising RapidMiner is demonstrated for an automobile. Example features and feature-opinion-cause associations are shown along with the observed opinion polarity score and cause association strength.
{"title":"Design feature opinion cause analysis: a method for extracting design intelligence from web reviews","authors":"Ismail Art Yagci, Sanchoy K. Das","doi":"10.1504/IJKWI.2015.075164","DOIUrl":"https://doi.org/10.1504/IJKWI.2015.075164","url":null,"abstract":"Web reviews are a readily available source of product intelligence. The hypothesis of this research is that web reviews also contain significant amounts of design information for product designers. The authors introduce the design-feature-opinion-cause relationship DFOC method, which effectively extracts design intelligence from unstructured web reviews. The DFOC method: 1 creates a sentence-based web review database; 2 mines the database to identify design features that are of interest to both designers and users; 3 extracts and estimates the significance and polarity of the customer opinions; 4 identifies the likely design cause of the customer opinion. DFOC utilises an association rule-based opinion mining procedure for capturing and extracting noun-adjective and noun-verb relationships. Application of the DFOC method utilising RapidMiner is demonstrated for an automobile. Example features and feature-opinion-cause associations are shown along with the observed opinion polarity score and cause association strength.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132595452","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 : 2015-03-01DOI: 10.1504/IJKWI.2015.075153
S. Aitouche, M. Mouss, Abdelghafour Kaanit, Khayreddine Bouhafna, Walid Mammeri, Abdeldjalil Chabbi
The purpose of this paper is to propose a hybrid method SKACICM of development of knowledge management systems. Based on weaknesses of the method of performance dashboards SKANDIA, we proposed a pragmatisation and adaptation of Skandia to give ASKANDIA, by enrichment of its performance book. We ameliorated CICM model against the requirements of GERAM to give ACICM model by mappings between their proposed metamodels. We tried to hybridise ACICM, ASKANDIA and business intelligence to propose a new method SKACICM of development of knowledge management systems. We applied SKACICM on a cement company to develop software containing three main modules, module knowledge management, module business intelligence and performance dashboard system. The developed system ameliorated the performance of the enterprise by 26% and could be generalised to other manufacturing or service systems.
{"title":"SKACICM a method for development of knowledge management and innovation system e-KnowSphere","authors":"S. Aitouche, M. Mouss, Abdelghafour Kaanit, Khayreddine Bouhafna, Walid Mammeri, Abdeldjalil Chabbi","doi":"10.1504/IJKWI.2015.075153","DOIUrl":"https://doi.org/10.1504/IJKWI.2015.075153","url":null,"abstract":"The purpose of this paper is to propose a hybrid method SKACICM of development of knowledge management systems. Based on weaknesses of the method of performance dashboards SKANDIA, we proposed a pragmatisation and adaptation of Skandia to give ASKANDIA, by enrichment of its performance book. We ameliorated CICM model against the requirements of GERAM to give ACICM model by mappings between their proposed metamodels. We tried to hybridise ACICM, ASKANDIA and business intelligence to propose a new method SKACICM of development of knowledge management systems. We applied SKACICM on a cement company to develop software containing three main modules, module knowledge management, module business intelligence and performance dashboard system. The developed system ameliorated the performance of the enterprise by 26% and could be generalised to other manufacturing or service systems.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451408","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 : 2014-10-01DOI: 10.1504/IJKWI.2014.065043
Ludger Martin
It is important to know whether a website or web application is usable. What you need are statistics about how the website is used. Such statistics usually include information about how much time a web user spends on a web page. But to know whether those dwell times are acceptable you will need reference values. This paper provides and discusses such reference values based on a research study. To allow automatic analysis of input elements a web service is presented to reveal any possible element. Using this service and the results of our study, any kind of HTML/HTML5 input elements in a web form can be analysed.
{"title":"A RESTful web service to estimating time requirements for web forms","authors":"Ludger Martin","doi":"10.1504/IJKWI.2014.065043","DOIUrl":"https://doi.org/10.1504/IJKWI.2014.065043","url":null,"abstract":"It is important to know whether a website or web application is usable. What you need are statistics about how the website is used. Such statistics usually include information about how much time a web user spends on a web page. But to know whether those dwell times are acceptable you will need reference values. This paper provides and discusses such reference values based on a research study. To allow automatic analysis of input elements a web service is presented to reveal any possible element. Using this service and the results of our study, any kind of HTML/HTML5 input elements in a web form can be analysed.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130747919","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 : 2014-10-01DOI: 10.1504/IJKWI.2014.065050
K. C. Srikantaiah, N. K. Kumar, K. Venugopal, L. Patnaik
Web caching is the process in which web objects are temporarily stored to reduce bandwidth consumption, server load and latency. Web prefetching is the process of fetching web objects from the server before they are actually requested by the client. Integration of caching and prefetching can be very beneficial as the two techniques can support each other. By implementing this integrated scheme in a client-side proxy, the perceived latency can be reduced for not one but many users. In this paper, we propose a new integrated caching and prefetching policy called the WCP-CMA which makes use of a profit-driven caching policy that takes into account the periodicity and cyclic behaviour of the web access sequences for deriving prefetching rules. Our experimental results have shown a 10%-15% increase in the hit ratios of the cached objects and 5%-10% decrease in delay compared to the existing scheme.
{"title":"Web caching and prefetching with cyclic model analysis of web object sequences","authors":"K. C. Srikantaiah, N. K. Kumar, K. Venugopal, L. Patnaik","doi":"10.1504/IJKWI.2014.065050","DOIUrl":"https://doi.org/10.1504/IJKWI.2014.065050","url":null,"abstract":"Web caching is the process in which web objects are temporarily stored to reduce bandwidth consumption, server load and latency. Web prefetching is the process of fetching web objects from the server before they are actually requested by the client. Integration of caching and prefetching can be very beneficial as the two techniques can support each other. By implementing this integrated scheme in a client-side proxy, the perceived latency can be reduced for not one but many users. In this paper, we propose a new integrated caching and prefetching policy called the WCP-CMA which makes use of a profit-driven caching policy that takes into account the periodicity and cyclic behaviour of the web access sequences for deriving prefetching rules. Our experimental results have shown a 10%-15% increase in the hit ratios of the cached objects and 5%-10% decrease in delay compared to the existing scheme.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986100","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 : 2014-10-01DOI: 10.1504/IJKWI.2014.065035
S. R. Sreeja, S. Chaudhari
The web is a repository of large amount of data. Information available in the web is organised in the form of pages. Due to the presence of unlimited amount of information, searching and finding out appropriate information from the web is a task which needs expertise. Web crawlers are programmes that assist search engines by automating the task of visiting web pages and downloading their contents. They also help in ranking the downloaded web pages. Thus, the search engines can produce a list of web pages ordered by their relevance and can display this list as a result of the search. Crawling also helps to validate web pages, analyse them, notify about page-updation, visualise web pages and sometimes for collecting e-mail addresses for spam purposes. They can be of different types, each one using different strategies and techniques to crawl web pages. This paper presents a review of various types of web crawlers.
{"title":"Review of web crawlers","authors":"S. R. Sreeja, S. Chaudhari","doi":"10.1504/IJKWI.2014.065035","DOIUrl":"https://doi.org/10.1504/IJKWI.2014.065035","url":null,"abstract":"The web is a repository of large amount of data. Information available in the web is organised in the form of pages. Due to the presence of unlimited amount of information, searching and finding out appropriate information from the web is a task which needs expertise. Web crawlers are programmes that assist search engines by automating the task of visiting web pages and downloading their contents. They also help in ranking the downloaded web pages. Thus, the search engines can produce a list of web pages ordered by their relevance and can display this list as a result of the search. Crawling also helps to validate web pages, analyse them, notify about page-updation, visualise web pages and sometimes for collecting e-mail addresses for spam purposes. They can be of different types, each one using different strategies and techniques to crawl web pages. This paper presents a review of various types of web crawlers.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126726445","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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