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Data broadcast with its scalability feature provides a strong backbone for the digital information delivery. Such a feature is especially significant for mobile users with inherent power limitations in asymmetric communication environments. This paper presents a specific broadcast ordering scheme supported by advanced structure and access mechanism for ad-hoc queries in mobile data broadcast environments...
With rapid developments in indoor positioning technologies such as wireless communications, RFID and Bluetooth, the tracking of indoor moving objects has become easier. The indexing of moving objects in indoor spaces is different from outdoor spaces in many respects such as positioning technologies and measurements. Therefore, in this paper, we propose a new adjacency index structure for moving objects...
This paper proposes an adaptive and resource efficient data broadcast scheme in mobile P2P system. We define a new data broadcast model called trustworthy-based estafet multi-point relays (TEMPR) to disseminate messages among peers. This model aims to minimize the communication overhead between peers, and together with the existing models, i.e. multipoint relaying (MPR) and Pure-flooding approach,...
Ontology databases in Semantic Grid can grow very large making it more complex and difficult to manage. Sub-ontology extraction in compliance with the user requirements paves the way for sub-ontology reuse in sub-ontology/ontology tailoring. As new developments and discoveries are unleashed, or when sub-ontology will be reused, the need to update the extracted sub-ontology is deemed necessary. In...
Sub-ontology, as the name states, is a subset of an ontology tailored for a specific domain. The main work on sub-ontology derivation was initially proposed by Wouters and later extended by Flahive, where they proposed a number of sub-ontology extraction methods. These sub-ontology extraction methods were called sub-ontology optimization schemes. In this paper, we develop a visual view for users to...
Due to the increasingly widespread use of XML, many XML- related applications require the service of schema mediation, which is to find semantically similar elements from two or more schema sources. Current approaches to schema mediation require much improvement. First, they do not cope well with a large number of schemas since most involve repeating pairwise integration. Second, they do not provide...
One of the most frequent queries in spatial and mobile databases is range search, which is originated from the construction of R-tree that limits the spatial database application to Euclidean distance. Nowadays, Geographic Information System (GIS) demands the applications to be practicable for factual distance, normally identified as network distance. Even though some algorithms are engaged in this...
The semantic grid as the uniting concept of semantic web and grid computing, and its ontology technology provide an efficient data retrieval methodology in widely distributed semantic grid resources over the Internet. As the number of semantic grid resources increase, e.g., ontology servers, the amount of data increases and managing job workflows is becoming increasingly complex. This paper proposed...
One of the most popular queries in vehicle navigation, continuous k nearest neighbor, has been widely addressed. However, none of them focuses on continuous lookahead k nearest neighbor. Hence, in this paper, we propose a new approach, called continuous lookahead K nearest neighbor (CLKNN). CLKNN query is different from the traditional continuous k nearest neighbor, whereby in our CLKNN, mobile users...
Range search query processing has become one of the most important technologies in spatial and mobile databases. Most literature focuses on static range search extended from one point on both Euclidean distance and actual network distance, but there are only a few methods which can properly solve the problem for moving users, such as searching objects of interest on a road within a certain range....
This paper presents a novel schema mediation approach, called XMiner, for mining mediated schemas from a set of XML schemas. XMiner addresses three main problems resulting from the heterogeneous source schemas: nesting discrepancy, backward paths and schema discrepancy. XMiner discovers frequent substructures using frequent subtree mining algorithms, and then constructs a mediated schemas. XMiner...
Clustering as an intelligent technique for mining XML documents has been utilised as an excellent way of grouping the documents by their content or structure. A main step in many distance based XML clustering algorithms is to calculate pair-wise distances between documents; naturally, a time-efficient technique requests the pair-wise distances to be determined in a timely manner. In case of dynamic...
In a wireless environment, data broadcast paradigm has been recognized as an effective and scalable mechanism to disseminate frequently requested information to a large number of clients. This paper presents the development of a multiple entity types wireless broadcast database system. The broadcast system is designed to serve transitive queries or queries that access related data items belonging...
This paper presents a service oriented architecture (SOA) approach to a distributed framework for reusing, extracting and extending (tailoring) large domain ontologies in the semantic grid environment. The conceptual level of the framework describes how sub-ontologies are tailored while the architectural level of the framework describes the components of the framework that allows the tailoring process...
An area of knowledge extraction is mobile user data mining. It is concerned with methods and algorithms on extracting interesting knowledge from mobile users through the data they have generated. These data are such as their user movement database and communication history. In group pattern mining, group patterns from a given user movement database is found based on spatio-temporal distances. Static...
With increasing demands for a proper and efficient XML data storage, XML-enabled database (XEnDB) has emerged as one of the popular answers. It claims to combine the strengths and limit the shortcomings of the traditional database management systems and native XML database. The implication is more research need to be done for this database family. This paper focuses on the XML update management in...
GroupBy-Join queries in SQL are queries involving the group by clause joining several tables. In this paper, we describe three parallelization techniques for GroupBby-Join queries, particularly the queries where the group-by clause can be performed before the join operation. We subsequently call this query "GroupBy-Before-Join" queries. Performance evaluation of the three parallel processing...
With the increasing popularity of Object-Relational technology, it becomes necessary to have a methodology that allows database designers to exploit the great modeling power of object-oriented conceptual model, and still facilitate implementation on relational database systems. This paper presents a transformation methodology from inheritance relationships to relational tables. This includes transformation...
Queries containing aggregate functions often combine multiple tables through join operations. We call these queries "aggregate-join" queries. In parallel processing of such queries, it must be decided which attribute to be used as a partitioning attribute, particularly join attribute or group-by attribute. Based on the partitioning attribute, we discuss three parallel aggregate-join query...
Sorting in database processing is frequently required through the use of Order By and Distinct clauses in SQL. Sorting is also widely known in the computer science community at large. Sorting in general covers internal and external sorting. Past published work has extensively focused on external sorting on uni-processors (serial external sorting), and internal sorting on multiprocessors (parallel...
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