International Journal of Computational Linguistics Research最新文献

{"title":"A Bilingual Ontology Mapping and Enrichment Method for Domain Ontologies in E-learning","authors":"T. Ivanova","doi":"10.6025/jcl/2020/11/1/1-11","DOIUrl":"https://doi.org/10.6025/jcl/2020/11/1/1-11","url":null,"abstract":"","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120842761","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}

{"title":"Creating Taxonomy for Knowledge Representation of Sustainable Food Systems","authors":"Aneta Trajanov, Tanja Dergan, M. Debeljak","doi":"10.6025/jcl/2019/10/1/19-26","DOIUrl":"https://doi.org/10.6025/jcl/2019/10/1/19-26","url":null,"abstract":"Sustainability is becoming a core concept in every area (scientific, social, environmental and economic) of human life. Sustainability acknowledges that human civilization takes resources to sustain our modern way of life and strives towards balancing between our competing needs – our need to continue developing technologically and economically, and the need to protect the environment in which we live. However, sustainability is a very complex concept that incorporates social, environmental and economic aspects and interactions between them and can be described by a number of different sustainability indicators. Therefore, assessing the sustainability of a system is a demanding task and requires gathering and structuring of knowledge from experts, literature surveys and other sources. In this paper, we present the use of taxonomies to represent the complex concept of sustainability of European food systems. Structuring the knowledge on sustainable food systems in Europe is a first step in assessing their level of sustainability. The goal of this study is to use the developed taxonomies as basis for the development of a complex DSS system for assessment of the sustainability of legume food systems across the whole quality chain.","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130171555","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}

{"title":"Exploring the Relation between Press Releases and Media Coverage of Japanese University Research Outputs","authors":"M. Nishizawa, Yuan Sun","doi":"10.6025/JCL/2018/9/4/148-155","DOIUrl":"https://doi.org/10.6025/JCL/2018/9/4/148-155","url":null,"abstract":"In recent years, the number of press releases from universities has generally increased over time. How academic research is reported in the media is a big concern for management at universities and for research on the diffusion of scientific knowledge. In this study, we investigate the current situation and analyze the relation between press releases and their coverage in two major national newspapers in terms of the source article’s altmetric attention score, citation, subject field, and collaboration network from 2011 to 2014. Introduction To chieve accountability and as one of the strategies to secure research funds and to increase university enrolment, the number of universities making an effort to publish press releases to announce research findings has grown rapidly in recent years, and the number of press releases related to top-tier universities in Japan has generally increased over time (Nishizawa and Sun, 2012). How academic research is reported in the media is a big concern for management of universities and for research on the diffusion of scientific knowledge. In our previous studies, we investigated the relation between university press releases and two major Japanese national newspapers from 2007 to 2012 (Nishizawa and Sun, 2014), and the relation between the Altmetric Attention Score (AAS) (Altmetric, 2018) of the source article in press releases and coverage in newspapers in 2012. It has been shown that research published in journals with high Eigenfactor values tend to be announced in university press releases (Nishizawa and Sun, 2016), and the AAS of publications tends to have a positive correlation with instances of being featured in newspapers (Nishizawa and Sun, 2017). In this study, after updating the current situation of university press releases from 2005 to 2015, we identified each source article in press releases from 2011 to 2014 through their Digital Object Identifier (DOI), and investigated the relation between press releases and their coverage in two national newspapers, Mainichi Shimbun and Yomiuri Newspaper, in terms of their AAS score, citation counts, subject fields, and collaboration network.","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951070","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}

{"title":"OPTIMA: On-Line Balancing of Range-Partitioned Data with Imperfect Partitioning Vector","authors":"Djahida Belayadi, Khaled-Walid Hidouci, Khadidja Midoun","doi":"10.6025/JCL/2018/9/4/135-147","DOIUrl":"https://doi.org/10.6025/JCL/2018/9/4/135-147","url":null,"abstract":"Range query has a crucial role in large-scale data analysis. Unfortunately, the performance may be severely degraded by data skew. Such problem is often faced in large-scale parallel databases, peer-to-peer (P2P) systems as well as in Cloud computing. State-of-the-art methods designed to handle this problem offer significant improvements over naive implementations. However, performance could be further improved by reducing the cost of global skew knowledge and broadcasting. Ganesan, Bawa and Garcia-Molina proposed a load-balancing algorithm that guarantees a good ratio between the maximum and minimum loads among nodes. However, their algorithm requires global max-min load information to use local load balancing operations. Global load information can be found with O (log n) messages. In order to reduce this cost, we propose OPTIMA, a novel online load balancing approach for range partitioned data. Whenever a partition becomes overloaded, data transfers are performed, in background, from the most loaded nodes to the least loaded ones as in Ganesan et al., work. As a result, the partition boundaries and data sizes change. The key point of our proposal is the imperfect knowledge of the global load information (partition statistics). We introduce the concept of “Imperfect Partitioning Vector” (IPV), where, both nodes and clients have an approximate information about the load distribution. They can nevertheless locate any data with almost the same efficiency as using exact partition statistics. Furthermore, maintaining load distribution statistics do not require exchanging additional messages or maintaining a data structure as opposed to the cost of efficient solutions from the state-of-art (which require at least O (log n) messages).","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133780899","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}

{"title":"User Interaction with Online Information Resources: An Informetrics Approach","authors":"M. Hassanzadeh, Emran Ghorbani","doi":"10.6025/jcl/2018/9/4/156-164","DOIUrl":"https://doi.org/10.6025/jcl/2018/9/4/156-164","url":null,"abstract":"","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122013646","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}

{"title":"Multidimensional Association Rules on Tensors","authors":"Ryohei Yokobayashi, T. Miura","doi":"10.6025/jcl/2018/9/2/106-119","DOIUrl":"https://doi.org/10.6025/jcl/2018/9/2/106-119","url":null,"abstract":"In this work, we propose a framework suitable for multidimensional data mining based on tensor. A Tensor Data Model (TDM) provides us with high order data structure and naive description for information retrieval. Among others, we discuss multidimensional rule mining here. Generally, association rule mining (or extraction of association rules) concerns about co-related transaction records of single predicate, and hard to examine the ones over multiple predicates since it takes heavy timeand spacecomplexities. Here we show TDM allows us to model several operations specific to multidimensional data mining yet to reduce amount of description.","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122861451","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}

{"title":"Sentiment Miner: A Novel Unsupervised Framework for Aspect Detection from Customer Reviews","authors":"A. Bagheri, S. Nadi","doi":"10.6025/jcl/2018/9/2/120-130","DOIUrl":"https://doi.org/10.6025/jcl/2018/9/2/120-130","url":null,"abstract":"With the thriving of review sites on the Web, people have begun to express their opinions on a wide variety of products on several services. Sentiment analysis on entities of products thus becomes a rapid and effective way of assessing public opinion for business marketing. Sentiment analysis is the computational study of people’s opinions, attitude, emotion or appraisal pertaining to topics, objects, products, services, organizations, individuals, events or any attributes of them. Aspect detection in sentiment analysis helps customers to effectively navigate product information by zooming in on the product features they are interested in. In this paper we introduce Sentiment Miner, a novel unsupervised framework for aspect detection problem in a sentiment analysis system for online customer reviews. Sentiment Miner tries to detect aspects using a bootstrapping algorithm based on pointwise mutual information measure. The proposed framework considers multiword aspects as atomic terms by utilizing C-value method. Experimental results show that the Sentiment Miner improves the precision, recall and the F-score, and outperforms the state-of-the-art baseline approach.","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128543900","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}

{"title":"Analyzing the Perception of Online Sheet Music Search: A Case Study","authors":"D. Silva, Saman Hettiarachchi","doi":"10.6025/jcl/2018/9/2/99-105","DOIUrl":"https://doi.org/10.6025/jcl/2018/9/2/99-105","url":null,"abstract":"Among the number of formats of representing music, music sheets carrying a significant importance even though sheet music is not used by everyone. For musicians, composers and for those who are practicing sheet music, that is more convenient and the best materials as well. As defined by western musicians, it has grown and now widely available even in the internet. As it become wider, the need of navigation and searching has become required because of the difficulties in browsing large amount of data. Online searching approaches different ways of querying such as text, audio etc. This paper is an investigation of the perception towards searching sheet music online in general. This includes a brief analysis of user needs and expectations towards the perception of online sheet music search contains an online survey, expert interviews and a discussion outlining the existing approaches and future work needed. Keywords—music, information retrieval, music information retrieval, sheet music, online search.","PeriodicalId":198771,"journal":{"name":"International Journal of Computational Linguistics Research","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126387887","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}