Information on the Web, which are conglomeration of heterogeneous data such as texts, images and audio clips, are often accessed through documents written according to the HTML specification [7]. According to the HTML specification, HTML documents are semistructured in nature. We propose a high-level stack machine (HSM) which accesses an HTML document through its URL and constructs a semistructured data graph (SDG) of the document. The SDG of an HTML document H precisely captures the structure of the semistructured data embedded in H based on the dependency relationship [11] among the data objects in H . HSM is configurable to accommodate a user's interest with respect to the HTML elements in H to be considered during the construction process of the SDG of H . 1 Introduction During the early days of the World-Wide Web (WWW or Web), users heavily relied on the mouse-button-click navigation method through hyperlinks provided by Web browsers to retrieve information of interest and soon ...

Abstract. Recently, the benefits of modular representations of ontologies has been recognized by the semantic web community. Existing methods for splitting up models into modules either optimize for completeness of local or for the efficiency of distributed reasoning. In our work on semantics-based P2P systems, we are also concerned with the additional criteria of robustness or reasoning in cases where peers are unavailable and with ease of maintenance. We define a number of structural criteria for modularized ontologies and argue why these criteria are suitable for estimating efficiency, robustness and maintainability. We apply the criteria to a number of modularization approaches and discuss the trade-offs made. Based on the discussion we propose a general quality measure for modular representations in the context of our use case. 1

Information on the Web, which are conglomeration of heterogeneous data 1 , such as texts, images and audio clips, are often accessed through documents written according to the HTML specification [Gro95]. According to the HTML specification, HTML documents are semistructured in nature. We propose a high-level stack machine (HSM) which accesses an HTML document through its URL and constructs a semistructured data graph (SDG) of the document. The SDG of an HTML document H precisely captures the structure of the semistructured data embedded in H based on the dependency relationship [LN97] among the data objects in H. HSM is configurable to accommodate a user's interest with respect to the HTML elements in H to be considered during the construction process of the SDG of H. 1 Introduction During the early days of the World-Wide Web (WWW or Web), users heavily relied on the mouse-button-click navigation method through hyperlinks provided by Web browsers to retrieve information of inter...

Abstract- As many distributed database applications contain online information that change continuously and expand incrementally, comprehensive cloud Application Programming Interface API’s are required to monitor and control the accuracy of the information and data proliferation. This cloud software is required to monitor and control the accuracy of the information and data proliferation. This software can be viewed as integrated cloud computing services; data fragmentation, clustering network sites, and fragments Allocation that support transactional database applications. In this paper, we describe our data Fragmentation as a Service (FaaS) in construction of a cloud computing software system. Specifically, we design a novel data fragmentation as a service to facilitate enormous data processing, and introduce some functioning enhancement on data distribution to improve the cloud system performance. This research presents our attempt to implement data fragmentation service in a cloud computing system, with large scale data mining as targeted application.