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2015 26th International Workshop on Database and Expert Systems Applications (DEXA)最新文献

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Quick Evaluation of Research Impacts at Conferences Using SNS 利用SNS快速评价会议研究影响
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.64
S. Fukuda, Hikaru Nakahashi, Hidetsugu Nanba, T. Takezawa
{"title":"Quick Evaluation of Research Impacts at Conferences Using SNS","authors":"S. Fukuda, Hikaru Nakahashi, Hidetsugu Nanba, T. Takezawa","doi":"10.1109/DEXA.2015.64","DOIUrl":"https://doi.org/10.1109/DEXA.2015.64","url":null,"abstract":"We are investigating ways of evaluating research impact as soon as possible after publication. Traditionally, the research impact or importance of academic journals has been evaluated using citation relations, such as the impact factor and the citation half-life. However, these citation-based methods require long periods to evaluate research impact and therefore are not suitable for evaluating the current impact of research papers at conferences. To solve this problem, we are studying the automatic evaluation of research impact using Twitter. Researchers participating in academic conferences often post their opinions or comments on Twitter. Here, research papers (presentations) that have many comments are considered to be outstanding and to have strong impact during the conference. In this paper, we propose a method for automatically aligning tweets with research papers. The procedure consists of the following three steps: (1) detecting valuable tweets, (2) aligning each valuable tweet with a research paper, and (3) calculating the research impact of each research paper by the number of aligned tweets. We conducted some experiments to confirm the effectiveness of our method. From the results, we obtained an MRR score of 0.223, which outperformed a baseline method.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125899121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Longest Previous Non-overlapping Factors Computation 最长先前非重叠因子计算
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.21
Supaporn Chairungsee, Tida Butrak, Surangkanang Chareonrak, Thana Charuphanthuset
{"title":"Longest Previous Non-overlapping Factors Computation","authors":"Supaporn Chairungsee, Tida Butrak, Surangkanang Chareonrak, Thana Charuphanthuset","doi":"10.1109/DEXA.2015.21","DOIUrl":"https://doi.org/10.1109/DEXA.2015.21","url":null,"abstract":"We study the problem of finding the Longest Previous non-overlapping Factor (LPnF) occurring at each position of a string. The notion of LPnF table is a variant of the Longest Previous Factor (LPF) table and is an essential element for the design of efficient algorithms on strings. The LPnF table is related to Ziv-Lempel factorization which is used for text compression. In this paper, we describe an algorithm for computing the LPnF table of a string from its Suffix Automaton. The algorithm runs in linear time on a fixed size alphabet and applications of this algorithm are for text compression.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122746746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Agent-Based Simulation of Wholesale Energy Markets: A Case Study on Renewable Generation 基于主体的能源批发市场模拟:以可再生能源发电为例
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.34
Diogo Vidigal, F. Lopes, A. Pronto, J. Santana
{"title":"Agent-Based Simulation of Wholesale Energy Markets: A Case Study on Renewable Generation","authors":"Diogo Vidigal, F. Lopes, A. Pronto, J. Santana","doi":"10.1109/DEXA.2015.34","DOIUrl":"https://doi.org/10.1109/DEXA.2015.34","url":null,"abstract":"Variable generation (VG), such as wind power, has increased significantly in recent years. VG has several unique characteristics compared to those of traditional power plants, including significant fixed capital costs but near-zero variable production costs. Large penetrations of VG tend to influence the prices and schedules of energy markets. Specifically, increasing levels of VG tend to reduce market prices, increase price volatility, and reduce the cleared energy levels of existing generating plants. This paper describes some important features of an agent-based system to simulate energy markets. Special attention is devoted to a case study aiming at analysing the behaviour of the system in situations with increasing levels of wind generation, notably comparing market schedules and prices in situations with either low or high levels of wind generation.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122086289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Inductive Building of Search Results Ranking Models to Enhance the Relevance of Text Information Retrieval 归纳构建搜索结果排序模型，提高文本信息检索的相关性
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.70
V. Zosimov, V. Stepashko, O. Bulgakova
{"title":"Inductive Building of Search Results Ranking Models to Enhance the Relevance of Text Information Retrieval","authors":"V. Zosimov, V. Stepashko, O. Bulgakova","doi":"10.1109/DEXA.2015.70","DOIUrl":"https://doi.org/10.1109/DEXA.2015.70","url":null,"abstract":"The article describes a method for constructing a model for ranking the search engine delivery on the Internet using inductive GMDH algorithms. The method makes it possible to enhance substantially the relevance of scientific and technical information search on the Internet provided to sift spam and the commercial information. The process of discovering the web resources ranking model is described for known search engines and comparing its effectiveness with the constructed model.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128102481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Efficient Search Result Diversification via Query Expansion Using Knowledge Bases 利用知识库扩展查询，实现高效的搜索结果多样化
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.69
Raoul Rubien, Hermann Ziak, Roman Kern
{"title":"Efficient Search Result Diversification via Query Expansion Using Knowledge Bases","authors":"Raoul Rubien, Hermann Ziak, Roman Kern","doi":"10.1109/DEXA.2015.69","DOIUrl":"https://doi.org/10.1109/DEXA.2015.69","url":null,"abstract":"Underspecified search queries can be performed via result list diversification approaches, which are often computationally complex and require longer response times. In this paper, we explore an alternative, and more efficient way to diversify the result list based on query expansion. To that end, we used a knowledge base pseudo-relevance feedback algorithm. We compared our algorithm to IA-Select, a state-of-the-art diversification method, using its intent-aware version of the NDCG (Normalized Discounted Cumulative Gain) metric. The results indicate that our approach can guarantee a similar extent of diversification as IA-Select. In addition, we showed that the supported query language of the underlying search engines plays an important role in the query expansion based on diversification. Therefore, query expansion may be an alternative when result diversification is not feasible, for example in federated search systems where latency and the quantity of handled search results are critical issues.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115923755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Deducting Lifestyle Patterns by Ontologies' SWRL Rules 基于本体SWRL规则的生活方式演绎
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.22
M. J. S. García, Ismael Mena, I. H. P. Torres, C. P. Herrero
{"title":"Deducting Lifestyle Patterns by Ontologies' SWRL Rules","authors":"M. J. S. García, Ismael Mena, I. H. P. Torres, C. P. Herrero","doi":"10.1109/DEXA.2015.22","DOIUrl":"https://doi.org/10.1109/DEXA.2015.22","url":null,"abstract":"The volume of biomedical spatial information available on line increases day by day, which need to be exploited and shared by users in different knowledge areas. NCDs kill 36 million people each year and considering the seriousness of the problem globally, there are already underway government strategies to reduce risk factors and early detection and timely treatment. In this article, it's discussed the problem of the NCDs using Semantic Web tools. The proposed system consists of six ontologies which formalize concepts related to people, physical activity, NCDs, nutrition, geographic regions and symptoms. Furthermore, the system will facilitate the integration of data from different domains by using SWRL rules for decision making about lifestyle transformation.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133061848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Adaptive Generation of Multilingual Questions and Answers from Web Content 基于Web内容的多语言问答自适应生成
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.72
M. Gatius
{"title":"Adaptive Generation of Multilingual Questions and Answers from Web Content","authors":"M. Gatius","doi":"10.1109/DEXA.2015.72","DOIUrl":"https://doi.org/10.1109/DEXA.2015.72","url":null,"abstract":"This article describes the adaptive generation of questions and answers from web content to assist the user when searching for information. The approach proposed integrates user models, domain-restricted knowledge representation, natural language and wrappers techniques. This proposal is based on the representation of the main concepts involved in a specific scenario as a set of attributes, and the user models as the subset of those conceptual attributes relevant for each user. The approach described has been applied to generate multilingual personalized questions and answers from web sites in two different domains: university courses and dissemination on nutrition.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127890652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
New Clustering Approach for Protein Sequences 蛋白质序列聚类的新方法
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.28
F. Mhamdi, Achref Ouerfelli
{"title":"New Clustering Approach for Protein Sequences","authors":"F. Mhamdi, Achref Ouerfelli","doi":"10.1109/DEXA.2015.28","DOIUrl":"https://doi.org/10.1109/DEXA.2015.28","url":null,"abstract":"Clustering, or unsupervised classification, is an important problem in bioinformatics which serves to automatically group protein sequences into families. In this paper we explain the process of our approach. In the first part, we present extraction phase and features weighting subsequently features selecting. Then we explain our new distance equation and finally we describe the clustering method: k-medoids.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123861717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Emerging Technologies for Health Data Analytics Research: A Conceptual Architecture 健康数据分析研究的新兴技术:概念架构
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.58
Jing Lu, M. Keech
{"title":"Emerging Technologies for Health Data Analytics Research: A Conceptual Architecture","authors":"Jing Lu, M. Keech","doi":"10.1109/DEXA.2015.58","DOIUrl":"https://doi.org/10.1109/DEXA.2015.58","url":null,"abstract":"This paper gives a brief review of how emerging database technologies can be used to provide additional value from available health information such as electronic patient records. It is not only about the integration of technologies for data warehousing, OLAP analysis and data mining, but also the integration of data from various sources and how to share and connect the resources. The organisational structure of healthcare in the UK is illustrated before the Solent Health Informatics Partnership (SHIP) is introduced, highlighting the proposed conceptual architecture for data analytics in this context. The applicability of NoSQL and Big Data technologies is considered with an emphasis on data warehousing and mining approaches.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133288430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Utilizing Query Facets for Search Result Navigation 利用查询面进行搜索结果导航
2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI: 10.1109/DEXA.2015.66
Jan Friedrich, C. Lindemann, Michael Petrifke
{"title":"Utilizing Query Facets for Search Result Navigation","authors":"Jan Friedrich, C. Lindemann, Michael Petrifke","doi":"10.1109/DEXA.2015.66","DOIUrl":"https://doi.org/10.1109/DEXA.2015.66","url":null,"abstract":"Facets provide an efficient way to analyze and navigate the search result space. However, we believe facet selection has been guided by suboptimal facet and facet term properties. In this paper, we present features that rank facets based on their utility to partition the search result documents. Moreover, we propose a computationally inexpensive facet generation algorithm, provide a novel approach to extract term lists from HTML documents, and analyze facet feedback models using BM25F as baseline retrieval model. We show that the proposed approach outperforms existing algorithms and discuss the significantly reduced computational costs.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115970712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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