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

筛选
英文 中文
Comparing Web Services through Data Type Similarities 通过数据类型相似性比较Web服务
José Rodríguez, Jorge Nader-Roa, Maricela Claudia Bravo
{"title":"Comparing Web Services through Data Type Similarities","authors":"José Rodríguez, Jorge Nader-Roa, Maricela Claudia Bravo","doi":"10.1109/DEXA.2015.55","DOIUrl":"https://doi.org/10.1109/DEXA.2015.55","url":null,"abstract":"During search and discovery of Web Services (WS) the user specifies a set of parameters that is compared against the WS operations, this means that one of the main steps in WS discovery is the comparison process. Most of related work aim at improving the WS search process based in the following approaches: semantic description of operations, semantic relation on name functions, workflows, and functions signatures. In this work, a mechanism for evaluating the similarity of WS through comparing the input and output data types of WS operations is presented.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 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":"129814698","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
Utilizing Query Facets for Search Result Navigation 利用查询面进行搜索结果导航
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
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
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
Using Neo4j for Mining Protein Graphs: A Case Study 使用Neo4j挖掘蛋白质图:一个案例研究
D. Hoksza, Jan Jelínek
{"title":"Using Neo4j for Mining Protein Graphs: A Case Study","authors":"D. Hoksza, Jan Jelínek","doi":"10.1109/DEXA.2015.59","DOIUrl":"https://doi.org/10.1109/DEXA.2015.59","url":null,"abstract":"Using graph databases becomes increasingly popular in domains where data can be modeled as a set of connected objects. Graph databases enable to query such data using graph-based queries in a relatively simple manner in comparison to the classical relational databases. In this paper, we show how one of the most popular graph databases, Neo4j, can be applied to the bioinformatics problem of protein-protein interface (PPI) identification. The goal of the PPI identification task is, given a protein structure, to identify amino acids which are responsible for binding of the structure to other proteins. Each protein structure consists of a set of amino acid molecules which can be conceived as a graph and multitude of methods for analysis of such protein graphs have been established. We introduce here a knowledge-based approach which can enhance the quality of these methods by utilizing existing protein structure knowledge stored in the Protein Data Bank (PDB). We show how to transform information about protein complexes from PDB into Neo4j where they can be stored as a set of independent protein graphs. The resulting graph database contains about 14 millions labeled nodes and 38 millions edges. In the PPI identification phase, this database is queried using exact subgraph matching and the results are aggregated to improve an existing PPI identification method. We show the pros and cons of using Neo4j for such endeavor with respect to the size of the database and complexity of the queries in comparison to using a relational database (Microsoft SQL Server). We conclude that using Neo4j is a viable option for specific, rather small, subgraph query types. However, we have encountered performance limitations, especially for larger query graphs in terms of number of edges.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 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":"129339769","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: 18
Range-Based Clustering Supporting Similarity Search in Big Data 支持大数据相似性搜索的基于范围的聚类
T. Phan, Markus Jäger, Stefan Nadschläger, J. Küng
{"title":"Range-Based Clustering Supporting Similarity Search in Big Data","authors":"T. Phan, Markus Jäger, Stefan Nadschläger, J. Küng","doi":"10.1109/DEXA.2015.41","DOIUrl":"https://doi.org/10.1109/DEXA.2015.41","url":null,"abstract":"Thanks to state-of-the-art technologies, we have more and more modern infrastructures as well as automatic processes supporting the agricultural domain. Data collected from parcels by these systems and remote sensors for further analysis result in facing the three main challenges which are known as big volume, big variety, and big velocity, in the era of big data. In terms of similarity search, we propose a range-based clustering method that finds objects which are the most similar compared to the given object in a large-scale computing with Map Reduce. The proposed method groups objects into different clusters which are considered as pivots to perform pre-checking before computing similarity. Furthermore, we conduct some basic experiments to evaluate the performance of the proposed method and observe the influences of the clusters in similarity search.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 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":"125328336","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
A Situation Awareness Question Generator to Determine a Crisis Situation 确定危机情况的情况意识问题生成器
M. Teitsma, J. Sandberg, B. Wielinga, G. Schreiber
{"title":"A Situation Awareness Question Generator to Determine a Crisis Situation","authors":"M. Teitsma, J. Sandberg, B. Wielinga, G. Schreiber","doi":"10.1109/DEXA.2015.42","DOIUrl":"https://doi.org/10.1109/DEXA.2015.42","url":null,"abstract":"In this paper we present a system that generates questions from an ontology to determine a crisis situation by ordinary people using their mobile phone: the Situation Awareness Question Generator. To generate questions from an ontology we propose a formalization based on Situation Theory and several strategies to determine a situation as quickly as possible. A suitable ontology should comply with human categorization to enhance trustworthiness. We created three ontologies, i.e. a pragmatic-based ontology, an expert-based ontology and a basic-level ontology. Several experiments, published elsewhere, showed that the basic-level ontology is most suitable.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"66 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":"125044567","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
A Framework for Agent-Based Electricity Markets: Preliminary Report 基于主体的电力市场框架:初步报告
F. Lopes, H. Coelho, J. Santana
{"title":"A Framework for Agent-Based Electricity Markets: Preliminary Report","authors":"F. Lopes, H. Coelho, J. Santana","doi":"10.1109/DEXA.2015.30","DOIUrl":"https://doi.org/10.1109/DEXA.2015.30","url":null,"abstract":"The electricity industry has evolved to open marketsthat promote competition among suppliers and provide consumers with a choice of services. Most energy markets (EMs) were, however, designed without the notion that a significant part of the traded power could come from renewable energy sources, and may require modifications to continue functioning effectively. Agent-based modeling and simulation (ABMS) presents itself as a promising approach to accurately model the behavior of EMs over time. This article claims that the development of a conceptual framework to define the key features that are needed to model and simulate EMs using software agents can be an important step to assess progress in the field and highlight new avenues to explore. As a first step in this direction, it describes a category of dimensions, labeled \"market architecture\", of a conceptual framework for agent-based electricity markets.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"1 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":"130467819","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: 2
Multi-space Projection Based Search Engine: Theoretical Model Instantiation and Prototype 基于多空间投影的搜索引擎:理论模型实例化与原型
Amel Hannech, Mehdi Adda, H. Mcheick
{"title":"Multi-space Projection Based Search Engine: Theoretical Model Instantiation and Prototype","authors":"Amel Hannech, Mehdi Adda, H. Mcheick","doi":"10.1109/DEXA.2015.68","DOIUrl":"https://doi.org/10.1109/DEXA.2015.68","url":null,"abstract":"Information Retrieval (IR) is still one of the most important and active research areas in computer science. The most popular applications of IR are Search Engines that help users locate information in the Web. It has to be noted that they have some limitations such as results' relevance and exploration. We propose a Multi-Space Search Engine model that is based on multiple interpretation spaces. To evaluate the effectiveness of the proposed model, we developed a prototype and conducted a comparative study that includes content interpretation, search features and usability. The experiments showed that our prototype performs well when compared to popular search engines with regard to the visibility of interpretations and the navigability of the results.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"37 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":"125755249","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: 2
Analyzing and Predicting Security Event Anomalies: Lessons Learned from a Large Enterprise Big Data Streaming Analytics Deployment 分析和预测安全事件异常:来自大型企业大数据流分析部署的经验教训
Colin A. Puri, Carl Dukatz
{"title":"Analyzing and Predicting Security Event Anomalies: Lessons Learned from a Large Enterprise Big Data Streaming Analytics Deployment","authors":"Colin A. Puri, Carl Dukatz","doi":"10.1109/DEXA.2015.46","DOIUrl":"https://doi.org/10.1109/DEXA.2015.46","url":null,"abstract":"This paper presents a novel and unique live operational and situational awareness implementation bringing big data architectures, graph analytics, streaming analytics, and interactive visualizations to a security use case with data from a large Global 500 company. We present the data acceleration patterns utilized, the employed analytics framework and its complexities, and finally demonstrate the creation of rich interactive visualizations that bring the story of the data acceleration pipeline and analytics to life. We deploy a novel solution to learn typical network agent behaviors and extract the degree to which a network event is anomalous for automatic anomaly rule learning to provide additional context to security alerts. We implement and evaluate the analytics over a data acceleration framework that performs the analysis and model creation at scale in a distributed parallel manner. Additionally, we talk about the acceleration architecture considerations and demonstrate how we complete the analytics story with rich interactive visualizations designed for the security and business analyst alike. This paper concludes with evaluations and lessons learned.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"5 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":"133964178","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
Enhanced Processing of METS/MODS Library Metadata in CouchDB CouchDB中METS/MODS库元数据的增强处理
Araek Tashkandi, L. Wiese
{"title":"Enhanced Processing of METS/MODS Library Metadata in CouchDB","authors":"Araek Tashkandi, L. Wiese","doi":"10.1109/DEXA.2015.61","DOIUrl":"https://doi.org/10.1109/DEXA.2015.61","url":null,"abstract":"Efficient metadata management is decisive for a useful resource discovery for example in digital libraries. In this paper, we present a transformation of library metadata in METS/MODS format into JSON, so that it can be managed by the CouchDB document database. In this way, metadata searching and analysis became much faster and new features could be added to the legacy system.","PeriodicalId":239815,"journal":{"name":"2015 26th International Workshop on Database and Expert Systems Applications (DEXA)","volume":"22 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":"132683665","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信