Pub Date : 2016-04-01DOI: 10.4018/IJKSR.2016040102
E. D’Avanzo, G. Pilato
Situation awareness the Good is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data the Ugly includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.
{"title":"The Good, the Ugly and the Bad Situation Awareness in the Big Data: A Cognitive Architecture for Social Forecasting","authors":"E. D’Avanzo, G. Pilato","doi":"10.4018/IJKSR.2016040102","DOIUrl":"https://doi.org/10.4018/IJKSR.2016040102","url":null,"abstract":"Situation awareness the Good is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data the Ugly includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128728285","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 : 2016-04-01DOI: 10.4018/IJKSR.2016040106
S. T. Bakhsh, S. Tahir, A. Altalhi, F. Subhan, M. Sheikh
Limited resources and network dynamicity are challenging issues in Bluetooth networks. Therefore, scatternet formation improvement and efficient routing algorithms are required that can efficiently construct a short route between a source and destination. As of today, many protocols have been proposed, mostly researchers focusing on simplicity and reliability, but only few of them fulfill the Bluetooth scatternet scenario. Therefore, it opens new doors for scatternet formation and inter-piconet routing for the Bluetooth scatternet. This paper presents a review of Bluetooth routing and scatternet formation protocols for inter-piconet communication. First, Bluetooth operation is explained followed by important applications and topologies are discussed. Then, inter-piconet routing and network formation protocols are critically analyzed. Finally, Bluetooth problems and open research issues are highlighted.
{"title":"Resource Optimization Routing and Scatternet Formation Protocols for Bluetooth Networks","authors":"S. T. Bakhsh, S. Tahir, A. Altalhi, F. Subhan, M. Sheikh","doi":"10.4018/IJKSR.2016040106","DOIUrl":"https://doi.org/10.4018/IJKSR.2016040106","url":null,"abstract":"Limited resources and network dynamicity are challenging issues in Bluetooth networks. Therefore, scatternet formation improvement and efficient routing algorithms are required that can efficiently construct a short route between a source and destination. As of today, many protocols have been proposed, mostly researchers focusing on simplicity and reliability, but only few of them fulfill the Bluetooth scatternet scenario. Therefore, it opens new doors for scatternet formation and inter-piconet routing for the Bluetooth scatternet. This paper presents a review of Bluetooth routing and scatternet formation protocols for inter-piconet communication. First, Bluetooth operation is explained followed by important applications and topologies are discussed. Then, inter-piconet routing and network formation protocols are critically analyzed. Finally, Bluetooth problems and open research issues are highlighted.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127738068","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 : 2016-04-01DOI: 10.4018/IJKSR.2016040101
A. Pipitone, R. Pirrone
The problem of bridging the gap between relational schema and ontologies is actively investigated in the Semantic Web and business communities. The main motivations are the OBDA scenario, where a domain ontology allows to hidden the technical details of the db to end-users; and the persistent storage of ontologies in db for facilitating search and retrieval keeping the benefits of DBMSs such as security and integrity. In these cases, the ABox is usually stored into a db, and the TBox is maintained in an ontology; for this reason, schema alignment is a more significant problem than the instance matching one. The use of manual mappings is hard and expensive, especially for large representations. This paper proposes an innovative approach for solving this problem based on a HMM; it estimates the most likely sequence of symbols describing the structures in the relational schema corresponding to the axioms in the ontology to be aligned. The theoretical background nd the models are described in detail. Finally, the system is compared to the most widespread tools in literature.
{"title":"Aligning Relational Schema and OWL Ontologies with Hidden Markov Model","authors":"A. Pipitone, R. Pirrone","doi":"10.4018/IJKSR.2016040101","DOIUrl":"https://doi.org/10.4018/IJKSR.2016040101","url":null,"abstract":"The problem of bridging the gap between relational schema and ontologies is actively investigated in the Semantic Web and business communities. The main motivations are the OBDA scenario, where a domain ontology allows to hidden the technical details of the db to end-users; and the persistent storage of ontologies in db for facilitating search and retrieval keeping the benefits of DBMSs such as security and integrity. In these cases, the ABox is usually stored into a db, and the TBox is maintained in an ontology; for this reason, schema alignment is a more significant problem than the instance matching one. The use of manual mappings is hard and expensive, especially for large representations. This paper proposes an innovative approach for solving this problem based on a HMM; it estimates the most likely sequence of symbols describing the structures in the relational schema corresponding to the axioms in the ontology to be aligned. The theoretical background nd the models are described in detail. Finally, the system is compared to the most widespread tools in literature.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116182109","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 : 2016-04-01DOI: 10.4018/IJKSR.2016040104
N. Matsumura, A. Miura, Masashi Komori, K. Hiraishi
When the Great East Japan Earthquake occurred, Twitter was used as an infrastructure for sharing information carried by other media. In other words, Twitter is considered as a "meta medium." Earthquake-related tweets included information that was of questionable veracity, contained vicious rumors, and propagated matters of controversy that often gave rise to various discussions and arguments. In this research, the authors analyzed 89,351,242 tweets posted from December 11, 2010 to April 16, 2012. They then extracted 9,816,625 URLs and classified the top 100 domains of these URLs into 19 media categories. The emotional reactions of Twitter users were investigated by counting the terms conveying positive and negative emotions included in the body of tweets along with the media URLs. The authors' findings revealed differences in terms of the frequency with which terms expressing emotions were evoked and differences in the patterns of their surges, across the various media. The authors also considered the usage of various terms appearing in tweets concurrently with the terms expressing emotion.
{"title":"Media Mediate Sentiments: Exploratory Analysis of Tweets Posted Before, During, and After the Great East Japan Earthquake","authors":"N. Matsumura, A. Miura, Masashi Komori, K. Hiraishi","doi":"10.4018/IJKSR.2016040104","DOIUrl":"https://doi.org/10.4018/IJKSR.2016040104","url":null,"abstract":"When the Great East Japan Earthquake occurred, Twitter was used as an infrastructure for sharing information carried by other media. In other words, Twitter is considered as a \"meta medium.\" Earthquake-related tweets included information that was of questionable veracity, contained vicious rumors, and propagated matters of controversy that often gave rise to various discussions and arguments. In this research, the authors analyzed 89,351,242 tweets posted from December 11, 2010 to April 16, 2012. They then extracted 9,816,625 URLs and classified the top 100 domains of these URLs into 19 media categories. The emotional reactions of Twitter users were investigated by counting the terms conveying positive and negative emotions included in the body of tweets along with the media URLs. The authors' findings revealed differences in terms of the frequency with which terms expressing emotions were evoked and differences in the patterns of their surges, across the various media. The authors also considered the usage of various terms appearing in tweets concurrently with the terms expressing emotion.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128072252","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 : 2016-04-01DOI: 10.4018/IJKSR.2016040103
A. Chianese, F. Marulli, F. Piccialli
The remarkable opportunities of discovering interesting knowledge from Big Data can be exploited in the Cultural Heritage CH domain, where Social Data Mining could advantage cultural organizations and operators with strategical elements for enjoying and attracting and enjoy visitors, as well as to support knowledge sharing and diffusion processes. A challenging and profitable direction may be combining Social Media Pulses Mining with Business Intelligence, to reveal the underlying key performance indicators, so leading to a 'competitive intelligence' whose application well fits with CH. The main contribution of the proposed research is the application of a Multidimensional Text Mining over multiple dimensions for social media pulses analysis. A set of exploratory studies were performed on textual messages Twitter to explore multiple kind of relations between terms, their compliance with CH, and finally estimating the Social Sensitivity Indicator to this domain and its polarity. Advanced technologies for Big Data processing were exploited.
{"title":"Sensitivity Mining in Social Pulses to Address Cultural Heritage Competitive Intelligence","authors":"A. Chianese, F. Marulli, F. Piccialli","doi":"10.4018/IJKSR.2016040103","DOIUrl":"https://doi.org/10.4018/IJKSR.2016040103","url":null,"abstract":"The remarkable opportunities of discovering interesting knowledge from Big Data can be exploited in the Cultural Heritage CH domain, where Social Data Mining could advantage cultural organizations and operators with strategical elements for enjoying and attracting and enjoy visitors, as well as to support knowledge sharing and diffusion processes. A challenging and profitable direction may be combining Social Media Pulses Mining with Business Intelligence, to reveal the underlying key performance indicators, so leading to a 'competitive intelligence' whose application well fits with CH. The main contribution of the proposed research is the application of a Multidimensional Text Mining over multiple dimensions for social media pulses analysis. A set of exploratory studies were performed on textual messages Twitter to explore multiple kind of relations between terms, their compliance with CH, and finally estimating the Social Sensitivity Indicator to this domain and its polarity. Advanced technologies for Big Data processing were exploited.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122725088","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 : 2016-04-01DOI: 10.4018/IJKSR.2016040105
A. Floos
Twitter enjoys the fame of the most popular and widely used as a platform for socializing, including all aspects of life current affairs, religious ideas, political issues, scientific research, and general knowledge. Every single activity of day to day life and human behavior and values is lodged at this platform. Sending and receiving messages on Twitter (tweets) with is limited to 140 characters, In this research the author attempts to understand the characteristics of those Arabic rumour (falsified information stream) patterns. False tweets could be a rumour which is mostly recognized as a representative whose legitimacy, authenticity, precision and significance is either unverifiable or unreliable. Arabic rumours may propagate misinformation on social networks. In this research, the author illustrates the difficulty of Arabic rumour identification in twitter social platform by studying the impact based on Arabic tweet content. Furthermore, the author explains how these content features are too influential in measuring the credibility of those Arabic tweets.
{"title":"Arabic Rumours Identification By Measuring The Credibility Of Arabic Tweet Content","authors":"A. Floos","doi":"10.4018/IJKSR.2016040105","DOIUrl":"https://doi.org/10.4018/IJKSR.2016040105","url":null,"abstract":"Twitter enjoys the fame of the most popular and widely used as a platform for socializing, including all aspects of life current affairs, religious ideas, political issues, scientific research, and general knowledge. Every single activity of day to day life and human behavior and values is lodged at this platform. Sending and receiving messages on Twitter (tweets) with is limited to 140 characters, In this research the author attempts to understand the characteristics of those Arabic rumour (falsified information stream) patterns. False tweets could be a rumour which is mostly recognized as a representative whose legitimacy, authenticity, precision and significance is either unverifiable or unreliable. Arabic rumours may propagate misinformation on social networks. In this research, the author illustrates the difficulty of Arabic rumour identification in twitter social platform by studying the impact based on Arabic tweet content. Furthermore, the author explains how these content features are too influential in measuring the credibility of those Arabic tweets.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128482621","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 : 2015-10-01DOI: 10.4018/IJKSR.2015100103
M. Jaffar
Noise present in the images degrades the image quality as well as the performance of tumor detection from images. The main objective of this research work is to improve the image quality and develop an accurate and effective automated computer-aided diagnosis system for tumor detection from brain MR images. Contourlet transform is used for image enhancement. Thresholding and morphological operators are used for detecting tumor segment. After segmentation, features extraction and classification has been performed by using Support Vector Machine and Neural Networks. The proposed method is tested on various brain MR images and this system generates good and accurate results.
{"title":"Brain Tumor Segmentation and Classification using Intelligent Hybrid Morphology and Diffusion","authors":"M. Jaffar","doi":"10.4018/IJKSR.2015100103","DOIUrl":"https://doi.org/10.4018/IJKSR.2015100103","url":null,"abstract":"Noise present in the images degrades the image quality as well as the performance of tumor detection from images. The main objective of this research work is to improve the image quality and develop an accurate and effective automated computer-aided diagnosis system for tumor detection from brain MR images. Contourlet transform is used for image enhancement. Thresholding and morphological operators are used for detecting tumor segment. After segmentation, features extraction and classification has been performed by using Support Vector Machine and Neural Networks. The proposed method is tested on various brain MR images and this system generates good and accurate results.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123376908","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 : 2015-10-01DOI: 10.4018/IJKSR.2015100102
M. Vargas-Vera
This paper presents a methodology for linking records from several sources each source might contain, missing information. This assumption of missing values has been made, without loss of generality, as the authors has observed that missing information is part of the nature of data in the health domain and also in other domains such as social sciences. The author's methodology is an attempt to deal with the linkage of records of the same patient in several databases. The first phase in her methodology is called homogenization. The homogenization of the databases/datasets is performed by applying a method which fills-in the missing values with the predicted values. The second phase of her methodology is called linking of records. It assesses the similarity between records and implements the linkage of the pairs of records with high level of similarity. Finally, the author presents an evaluation of our methodology. The evaluation of the homogenization phase was carried out using multinomial regression while, the evaluation of the aggregated similarities were performed using Jaccard, Jaro-Winkler and Monge-Elkan similarity metrics.
{"title":"Methodology for Record Linkage: A Medical Domain Case Study","authors":"M. Vargas-Vera","doi":"10.4018/IJKSR.2015100102","DOIUrl":"https://doi.org/10.4018/IJKSR.2015100102","url":null,"abstract":"This paper presents a methodology for linking records from several sources each source might contain, missing information. This assumption of missing values has been made, without loss of generality, as the authors has observed that missing information is part of the nature of data in the health domain and also in other domains such as social sciences. The author's methodology is an attempt to deal with the linkage of records of the same patient in several databases. The first phase in her methodology is called homogenization. The homogenization of the databases/datasets is performed by applying a method which fills-in the missing values with the predicted values. The second phase of her methodology is called linking of records. It assesses the similarity between records and implements the linkage of the pairs of records with high level of similarity. Finally, the author presents an evaluation of our methodology. The evaluation of the homogenization phase was carried out using multinomial regression while, the evaluation of the aggregated similarities were performed using Jaccard, Jaro-Winkler and Monge-Elkan similarity metrics.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122006934","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 : 2015-10-01DOI: 10.4018/IJKSR.2015100101
Emmanuel Varouchas
This case study describes the dispute on private higher education in Greece which is not seen favorably at all under the Greek legal environment. It also provides with contrast between quality assurance systems in Greek higher education institutions and DEREE-The American College of Greece, a private, non-profit tertiary educational institution located in Athens, Greece. It also aims at exploring quality systems in higher education institutions in the EU and in Greece and investigates why and how these influence the quality system, assessment policy and practices at DEREE. Additionally, it contributes with a valued proposition on the development of a hybrid quality system which will affect teaching, learning and assessment processes and eventually lead to curricular enhancement and probably reforms. The subsequent step deriving from this study is knowledge sharing with policy makers and practitioners for the advancement of the education delivered to students in higher education. Keywords: Assessment, Case Study, Curriculum, Higher Education, Learning, Non-profit, Quality Assurance, Teaching
{"title":"The Impact of Quality Assessment Systems on Teaching, Learning and Curriculum: A Case Study of a Non-Profit Private Higher Education Institution in Greece","authors":"Emmanuel Varouchas","doi":"10.4018/IJKSR.2015100101","DOIUrl":"https://doi.org/10.4018/IJKSR.2015100101","url":null,"abstract":"This case study describes the dispute on private higher education in Greece which is not seen favorably at all under the Greek legal environment. It also provides with contrast between quality assurance systems in Greek higher education institutions and DEREE-The American College of Greece, a private, non-profit tertiary educational institution located in Athens, Greece. It also aims at exploring quality systems in higher education institutions in the EU and in Greece and investigates why and how these influence the quality system, assessment policy and practices at DEREE. Additionally, it contributes with a valued proposition on the development of a hybrid quality system which will affect teaching, learning and assessment processes and eventually lead to curricular enhancement and probably reforms. The subsequent step deriving from this study is knowledge sharing with policy makers and practitioners for the advancement of the education delivered to students in higher education. Keywords: Assessment, Case Study, Curriculum, Higher Education, Learning, Non-profit, Quality Assurance, Teaching","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127780992","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 : 2015-10-01DOI: 10.4018/IJKSR.2015100105
Manoj Kumar, Jyoti Singh, Priya Singh
During the years, a large number of formal studies have presented evidences of a positive impact of university R&D on firm performance in general and on the location of industrial R&D, in particular. The question is does it also work the other way around? Does industrial R&D function as an attractor for university R&D? What are the behavioural relationships between industrial R&D and university R&D and vice versa? The authors argue that spatial proximity should be measured using accessibility measures. Fur-thermore, accessibility measures can be used to model interaction opportunities at dif-ferent spatial scales: local, intra-regional and inter-regional. Against this background, the purpose of this paper is to analyse the locational relationship between industry R&D and university R&D in India using a simultaneous equation approach. The authors' results indicate that the location of industrial R&D is quite sensitive to the location of university R&D, and that the location of university R&D is sensitive to the location of industrial R&D.
{"title":"The Behavioural Relationships Between Industrial R&D and University R&D in India","authors":"Manoj Kumar, Jyoti Singh, Priya Singh","doi":"10.4018/IJKSR.2015100105","DOIUrl":"https://doi.org/10.4018/IJKSR.2015100105","url":null,"abstract":"During the years, a large number of formal studies have presented evidences of a positive impact of university R&D on firm performance in general and on the location of industrial R&D, in particular. The question is does it also work the other way around? Does industrial R&D function as an attractor for university R&D? What are the behavioural relationships between industrial R&D and university R&D and vice versa? The authors argue that spatial proximity should be measured using accessibility measures. Fur-thermore, accessibility measures can be used to model interaction opportunities at dif-ferent spatial scales: local, intra-regional and inter-regional. Against this background, the purpose of this paper is to analyse the locational relationship between industry R&D and university R&D in India using a simultaneous equation approach. The authors' results indicate that the location of industrial R&D is quite sensitive to the location of university R&D, and that the location of university R&D is sensitive to the location of industrial R&D.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130604157","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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