A Progressive Clustering Algorithm to Group the XML Data by Structural and Semantic Similarity

Since the emergence in the popularity of XML for data representation and exchange over the Web, the distribution of XML documents has rapidly increased. It has become a challenge for researchers to turn these documents into a more useful information utility. In this paper, we introduce a novel clustering algorithm PCXSS that keeps the heterogeneous XML documents into various groups according to their similar structural and semantic representations. We develop a global criterion function CPSim that progressively measures the similarity between a XML document and existing clusters, ignoring the need to compute the similarity between two individual documents. The experimental analysis shows the method to be fast and accurate

From Frequency to Meaning: Vector Space Models of Semantics

Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their actions to us, and the ability of computers to analyse and process text. Vector space models (VSMs) of semantics are beginning to address these limits. This paper surveys the use of VSMs for semantic processing of text. We organize the literature on VSMs according to the structure of the matrix in a VSM. There are currently three broad classes of VSMs, based on term-document, word-context, and pair-pattern matrices, yielding three classes of applications. We survey a broad range of applications in these three categories and we take a detailed look at a specific open source project in each category. Our goal in this survey is to show the breadth of applications of VSMs for semantics, to provide a new perspective on VSMs for those who are already familiar with the area, and to provide pointers into the literature for those who are less familiar with the field

Assessing construction innovation: theoretical and practical perspectives

Innovation is key for productivity improvement and advancements in different sectors of the economy, including the construction sector.  The criticism of the slow pace of innovation in construction industry may be unwarranted, considering the structure of the industry and nature of the construction business.  The loosely coupled nature of firms, mostly Small and Medium Enterprises (SME’s), delivering ‘projects’ through partial engagement, together with the distinction between the project innovation and firm innovation makes it difficult to extract innovations in a meaningful way.  The problem also lies in conceptualising, defining, articulating and assessing innovation in construction.  The literature is replete with research into construction innovation, however, there is limited research into understanding how innovation is perceived and narrated in practice.  The paper aims to explore how innovation is assessed and narrated in construction, specifically analysing theory and practice perspectives.  A theoretical model was constructed from a structured literature review illustrating existing discourse and narratives of construction innovation assessment.  A qualitative analysis of ‘Professional Excellence in Building’ submission documents to the Australian Institute of Building was performed to identify the practice perspective of innovation.  The findings suggest that internal organizational and process innovation account for the majority of improvements identified.  Importantly a taxonomy of narrative is developed that articulates how the construction industry in Australia views industry innovation

Knowledge sharing capability, absorptive capacity, and innovation capability: an empirical study of Indonesia's information and communication technology industry

This research investigates the relationships between knowledge sharing capability, absorptive capacity, and innovation capability. This research proposed and tested three hypotheses. The data was collected by conducting a survey on 114 companies of Indonesia’s information and communication technology industry, including a telecommunication service provider, a support service provider,network vendors, and consumer devices vendors. This study finds that absorptive capacity is the intervening factor between knowledge sharing capability and innovation capability. It also shows that potential absorptive capacity has a positive influence on realized absorptive capacity, and realized absorptive capacity has a positive influence on product and process innovation capability

Information technology as boundary object for transformational learning

Collaborative work is considered as a way to improve productivity and value generation in construction. However, recent research demonstrates that socio-cognitive factors related to fragmentation of specialized knowledge may hinder team performance. New methods based on theories of practice are emerging in Computer Supported Collaborative Work and organisational learning to break these knowledge boundaries, facilitating knowledge sharing and the generation of new knowledge through transformational learning. According to these theories, objects used in professional practice play a key role in mediating interactions. Rules and methods related to these practices are also embedded in these objects. Therefore changing collaborative patterns demand reconfiguring objects that are at the boundary between specialized practices, namely boundary objects. This research is unique in presenting an IT strategy in which technology is used as a boundary object to facilitate transformational learning in collaborative design work

Risk Equity: A New Proposal

What does distributive justice require of risk regulators? Various executive orders enjoin health and safety regulators to take account of “distributive impacts,” “equity,” or “environmental justice,” and many scholars endorse these requirements. But concrete methodologies for evaluating the equity effects of risk regulation policies remain undeveloped. The contrast with cost-benefit analysis--now a very well developed set of techniques --is stark. Equity analysis by governmental agencies that regulate health and safety risks, at least in the United States, lacks rigor and structure. This Article proposes a rigorous framework for risk-equity analysis, which I term “probabilistic population profile analysis” (PPPA). PPPA is both novel, yet firmly grounded in the social-welfare-function tradition in welfare economics. The PPPA framework conceptualizes both the status quo, and possible policies, as probability distributions across population profiles -- where each population profile is, in turn, a concatenation of lifetime health-longevity-income histories, one for each member of the population. A utility function transforms each such profile into a utility vector. An equity-regarding social welfare function (SWF) is then specified. Policy analysts can employ the equity-regarding SWF both (1) to determine how policies compare purely as a matter of equality; and (2) to determine how they compare all-things-considered, considering both equality and overall welfare. The proposal may seem utopian, but is not. Scholars in the field of optimal tax policy already use SWFs to evaluate policies. Characterizing policies as distributions across population health-longevity-income profiles builds on existing risk assessment and general-equilibrium-modeling techniques. Utility functions can be specified through survey research and, in the interim, by building on standard functional forms. Plausible normative axioms considerably narrow the possible forms of the SWF, and survey research or thought experiments narrow the field further. Part I of the Article describes and criticizes existing approaches to risk equity that have been proposed in the scholarly literature: the environmental justice conception of risk equity; “individual risk” approaches; QALY-based equity analysis; incidence analysis; inclusive equality measurement; and cost-benefit analysis with distributive weights. Part II describes and defends PPPA. PPPA has many virtues. It recognizes that well-being is multidimensional, a function of both income and health/longevity; furnishes a metric for inequality; provides a framework for making tradeoffs between equality and overall well-being; and understands that distributive justice includes (but is not limited to) inequalities between high and low-status social groups