{"title":"Efficient reachability test on directed graphs and its application to large XML data","authors":"Y. Nakamura, T. Maita, H. Sakamoto","doi":"10.1109/SWOD.2007.353193","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353193","url":null,"abstract":"We propose an efficient algorithm for deciding the reachability between any nodes on XML data represented by connected directed graphs. In case of tree structures, the reachability is testable in a constant time by preprocessing the range labels of all nodes. However, in case of general directed graphs, it is impossible to set a simple range label for the graph even if it is acyclic. In this study, we introduce a new index for the problem of the reachability test on the general graphs. We show that our algorithm can check the reachability in almost constant time preserving the space efficiency and a reasonable preprocessing time compared with other methods.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116483","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":"An Editable Browser for Reranking Web Search Results","authors":"Takehiro Yamamoto, S. Nakamura, Katsumi Tanaka","doi":"10.1109/SWOD.2007.353194","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353194","url":null,"abstract":"This paper proposes methods of reranking Web search results according to user's editing operations while browsing the search results. It is difficult for search engines to rank search results which satisfy the user's search intention adequately because the user's Web search intentions are diverse. Hence, the user must check search results sequentially, or re-search creating a new query. In order to solve this problem, we introduce editing operations such as deletion and emphasis for searched results. When the user deletes a part of the search results, our system degrades search results which include the deleted term or sentence. When the user emphasizes a part of the search results, our system upgrades search results which include the emphasized term or sentence. We describe the implementations of these reranking methods and provide evaluations.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134209666","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}
M. Barhamgi, Pierre-Antoine Champin, D. Benslimane
{"title":"A Framework for Service-Based Query Resolution in eEnvironments","authors":"M. Barhamgi, Pierre-Antoine Champin, D. Benslimane","doi":"10.1109/SWOD.2007.353205","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353205","url":null,"abstract":"While recent works in P2P data management systems (PDMSs) have focused only on integrating traditional data sources, the access to an increasing number of data sources has been made in the form of data-providing Web services in P2P-based e-collaboration environments. In this paper, we supplement current PDMSs with capability to handle data sources exposed as services. In our solution we model data-providing services as RDF parametrized views. Then we devise an algorithm capable of composing the different data-providing services in order to answer a received query.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132628781","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":"Sharing Flexibly Resizable Multidimensional Arrays in Client/Server Environment","authors":"Bei Li, T. Tsuj, K. Higuchi","doi":"10.1109/SWOD.2007.353192","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353192","url":null,"abstract":"Handling with large amount of data is common now. Employing extendible array to deal with increasing data is really effective. But in the conventional extendible arrays all of the operations such as extension and reduction can only occur to its surroundings. This property limits the application of extendible arrays. So we proposed our flexibly resizable multidimensional arrays which can insert or delete even in the midst of the array. In this paper we will propose a sharing scheme of resizable multidimensional arrays in a distributed environment which means the sharing of server side array by clients.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123774920","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":"DB-Outlier Detection by Example in High Dimensional Datasets","authors":"Yuan Li, H. Kitagawa","doi":"10.1109/SWOD.2007.353201","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353201","url":null,"abstract":"Outlier detection is an important problem with applications in many fields. Such applications generally process high dimensional datasets. Among the existing methods of detecting outliers, Distance-Based outlier (DB-Outlier) detection is one of the most commonly used and simplest approaches, since it detects outliers only by calculating distances between data points. However, in high dimensional space, data is sparse, so every data point becomes a good outlier candidate. A Subspace-Based method has been proposed to deal with the curse of dimensions. It shows that meaningful outliers are likely to be identified by examining the behavior of data in low dimensional projections. On the other hand, most existing methods detect outliers with parameters being determined by users in advance. Such parameters usually contain hidden user view of outliers. Example-Based outlier detection methods are presented to be promising in discovering the hidden user view of outliers. In this paper, we discuss a new technique to detect DB-Outliers in high dimensional datasets based on user examples. Our proposed method makes use of Subspace-Based and Example-Based methods to discover a subspace where user examples are outstanding more significantly than in any other subspaces, and reports DB-Outliers detected in this subspace.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124464139","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":"XPCache: An Efficient Query Processor for Client-Server Architecture","authors":"K. Taha, R. Elmasri","doi":"10.1109/SWOD.2007.353197","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353197","url":null,"abstract":"This study addresses the problem of distributed XML queries in client-server architecture. Distributed XML documents can be large and complex. Due to the overhead involved in decomposing the queries, sending the decomposed queries to remote site(s), and executing structural join operations to compose the results, it can be difficult to rapidly execute queries on these distributed XML docs. We propose a query processor called XPCache to tackle those problems. We describe a Global Query Graph, a novel mechanism used by XPCache to classify queries based on their type and frequency. We then describe XPCache's mechanisms that exploit those classifications to improve query response time. Queries classified under the same type are given the same query optimization plan. These plans are cached at the central site. Queries classified as frequently used are answered from the central site cache, which improves query response time. The performance of XPCache is compared with another system and the results showing marked performance improvement.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135849","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}
Tomoya Kambara, Hiroaki Kibe, R. Nishide, M. Ohnishi, S. Ueshima
{"title":"Context-dependent Route Generation Scheme Using Network Voronoi Diagrams","authors":"Tomoya Kambara, Hiroaki Kibe, R. Nishide, M. Ohnishi, S. Ueshima","doi":"10.1109/SWOD.2007.353207","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353207","url":null,"abstract":"Researches on computing an optimal route according to user's preference or spatial contexts have been gaining focus recently, as car navigation and pedestrian navigation systems are getting accustomed to be used in daily lives. In this paper, the authors propose a method to compute a path to pass through as many context areas as possible along its route, according to the user's needs. Specifically, the authors apply the concept to construct a Delaunay diagram from neighbor nodes in Voronoi diagram, and use network Voronoi diagram to construct a subgraph based on contexts. For route search, the authors use A* shortest path algorithm over the subgraph. To verify the efficiency of the proposed method with subgraphs, the authors perform route search over subgraphs and base graph, which was generated from the road network of the real space, and compare the results. The results show that the route search by the proposed method consist of more paths with context areas than those performed over the base graph. Moreover, the proposed method reduces the number of steps for path search.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237727","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":"Dynamic and Personalized Curriculum-Generation Method Analysing Causality and Dependency between Learning Objects","authors":"R. Konishi, Y. Takahashi, Y. Kiyoki","doi":"10.1109/SWOD.2007.353204","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353204","url":null,"abstract":"In this paper, we show a dynamic and personalized curriculum generation method that analyses the causality and dependency between learning objects. This method calculates the strength and extracts the rules of causality and dependency between individual learning objects, described beforehand, using the results of testing, trends of understanding within a particular community, and definitions of learning objects with a learning order. This method determines the important learning objects for an individual user, and an order for effective learning, by analysing the results of an individual and those of a particular community. It dynamically computes changing relationships between learning objects and the learning situation of individual users, and enables generation of a personalized curriculum that supports effective learning.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122177151","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}
T. Kanda, Y. Yanagisawa, T. Maekawa, M. Imai, H. Kawashima, T. Okadome
{"title":"A Distributed Inference System on Sensor Nodes using Neighbors' Context Data","authors":"T. Kanda, Y. Yanagisawa, T. Maekawa, M. Imai, H. Kawashima, T. Okadome","doi":"10.1109/SWOD.2007.353208","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353208","url":null,"abstract":"Recently, several studies have been made on techniques for the inference of contexts in indoor environments using sensor nodes attached to various objects. In existing systems, a sensor data server accumulates all data received from sensor nodes to infer contexts. However, when the number of nodes increases, the volume of the data concentrated on the server increases, and the calculation cost at the server often explodes. In order to solve this problem, we propose a distributed inference system on sensor nodes that infers the nodes' local contexts. The system has three remarkable features: 1) sensor nodes which can detect neighboring nodes, 2) inference engines on sensor nodes, which infer nodes' local contexts, and 3) sharing context data between neighbor nodes. This paper describes the implementation methods, composition, and operation examples of the system.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"45 46","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113993612","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":"An Experimental Evaluation of the Adaptive Replica-assisted Migration for Parallel Storage Systems","authors":"D. Kobayashi, R. Taguchi, H. Yokota","doi":"10.1109/SWOD.2007.353198","DOIUrl":"https://doi.org/10.1109/SWOD.2007.353198","url":null,"abstract":"We have proposed a method replica-assisted migration that use temporally replica data in other storage nodes during executing data migration to keep both qualities of service accesses and data migration duration. However, we have not evaluated the method with real workload including update operations. In this paper, we first improve the method and evaluate an efficiency of the method under file server workloads. Base on the result of it, we also propose adaptive replica-assisted migration for reduce migration duration.","PeriodicalId":236154,"journal":{"name":"2007 IEEE International Workshop on Databases for Next Generation Researchers","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410183","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}