Optimization of Data Integration

Most of the public-sector systems in United State of America are using legacy database systems. The study has been undertaken to investigate the impact of legacy database system in Public Sector. This paper presents research on legacy database system transformation challenges and strategies to overcome them.

Wireless local area network (WLAN) has been widely used in many sectors. The popularity gained is due to many reasons, such as ease of installation, installation flexibility, mobility, reduced cost-of-ownership, and scalability. However, regardless of the benefits mentioned above, WLAN have some security threats, in which anyone who use it or intend to use it should be aware. This paper begins by introducing the concept of WLAN. The introductory section gives brief information on the WLAN components and its architecture. In order to examine the WLAN security threats, this paper will look at Denial of Service, Spoofing, and Eavesdropping. This paper will also tell about the reasons of loss of data and the security measures that are involved to reduce the loss of data from hackers by using the data confidentiality and prevention and access control mechanism.

The Web of Data is an open environment consisting of a great number of large inter-linked RDF datasets from various do-mains. In this environment, organizations and companies adopt the Linked Data practices utilizing Semantic Web (SW) tech-nologies, in order to publish their data and offer SPARQL endpoints (i.e., SPARQL-based search services). On the other hand, the dominant standard for information exchange in the Web today is XML. Additionally, many international standards (e.g., Dublin Core, MPEG-7, METS, TEI, IEEE LOM) in several domains (e.g., Digital Libraries, GIS, Multimedia, e-Learning) have been expressed in XML Schema. The aforementioned have led to an increasing emphasis on XML data, accessed using the XQuery query language. The SW and XML worlds and their developed infrastructures are based on different data models, semantics and query languages. Thus, it is crucial to develop interoperability mechanisms that allow the Web of Data users to access XML datasets, using SPARQL, from their own working environments. It is unrealistic to expect that all the existing legacy data (e.g., Relational, XML, etc.) will be transformed into SW data. Therefore, publishing legacy data as Linked Data and providing SPARQL endpoints over them has become a major research challenge. In this direction, we introduce the SPARQL2XQuery Framework which creates an interoperable environment, where SPARQL queries are automatically translated to XQuery queries, in order to access XML data across the Web. The SPARQL2XQuery Framework provides a mapping model for the expression of OWL–RDF/S to XML Schema mappings as well as a method for SPARQL to XQuery translation. To this end, our Framework supports both manual and automatic mapping specification between ontologies and XML Schemas. In the automatic mapping specification scenario, the SPARQL2XQuery exploits the XS2OWL component which transforms XML Sche-mas into OWL ontologies. Finally, extensive experiments have been conducted in order to evaluate the schema transfor-mation, mapping generation, query translation and query evaluation efficiency, using both real and synthetic datasets.

Increased generation of data in the e-governance R&D process is required to generate the expected services in terms of enhanced e-services productivity and pipelines. The inability of existing integration strategies to organise and apply the available knowledge to the range of real scientific, business and
governance issues is impacting on not only productivity but also transparency of information in crucial safety and regulatory applications. This requires focusing on normative models of e-governance that typically can assert horizontal (inter-agency) and vertical (inter-governmental) integration of data flows
to represent the most sophisticated form of e-government delivering greatest payoff for both governments and users. The new range of semantic technologies based on ontology enable proper integration of knowledge in a way that is reusable by several applications across governance business from discovery
to ministry affairs. The objective of this paper is to provide an insight on the necessary and sufficient knowledge base to deal with data integration using semantic web technologies applicable for e-governance based on exploratory research using literature survey. It assumes that reader has the
capability of understanding some basic knowledge on E-governance, Relational Database Management, Ontology, and Service Oriented Architecture and Semantic Web Technology.

This paper presents a novel approach to optimize data in Vietnameses speech synthesis using Unit Selection method. First, we conduct analysis of Vietnamese tone using Fujisaki model to find out the parameters of jimdamental frequency contours (Fa contours) influencing on Vietnamese vowels while speech is expressed. Next, analysis, testing, and evaluation of the effects on the vowel are performed. After that, the data of unit selection speech synthesis system is optimized by recording the vowel with a level tone. As a result, when a Vietnamese word is synthesized, it will be synthesized with a level vowel first followed by being adjusted the parameter of Fa contour to create a word with appropriate tone. With this approach, recorded data can be reduced up to 64,44% while sound quality is insignificantly affected.

Increased generation of data in the e-governance R&D process is required to generate the expected services in terms of enhanced e-services productivity and pipelines. The inability of existing integration strategies to organise and apply the available knowledge to the range of real scientific, business and governance issues is impacting on not only productivity but also transparency of information in crucial safety and regulatory applications. This requires focusing on normative models of e-governance that typically can assert horizontal (inter-agency) and vertical (inter-governmental) integration of data flows to represent the most sophisticated form of e-government delivering greatest payoff for both governments and users. The new range of semantic technologies based on ontology enable proper integration of knowledge in a way that is reusable by several applications across governance business from discovery to ministry affairs. The objective of this paper is to provide an insight ...

This paper introduces a new similarity measure based on edge counting in a taxonomy like WorldNet or
Ontology. Measurement of similarity between text segments or concepts is very useful for many
applications like information retrieval, ontology matching, text mining, and question answering and so on.
Several measures have been developed for measuring similarity between two concepts: out of these we see
that the measure given by Wu and Palmer [1] is simple, and gives good performance. Our measure is
based on their measure but strengthens it. Wu and Palmer [1] measure has a disadvantage that it does not
consider how far the concepts are semantically. In our measure we include the shortest path between the
concepts and the depth of whole taxonomy together with the distances used in Wu and Palmer [1]. Also the
measure has following disadvantage i.e. in some situations, the similarity of two elements of an IS-A
ontology contained in the neighbourhood exceeds the similarity value of two elements contained in the
same hierarchy. Our measure introduces a penalization factor for this case based upon shortest length
between the concepts and depth of whole taxonomy.