Exploiting Social Annotation for Automatic Resource Discovery

Information integration applications, such as mediators or mashups, that require access to information resources currently rely on users manually discovering and integrating them in the application. Manual resource discovery is a slow process, requiring the user to sift through results obtained via keyword-based search. Although search methods have advanced to include evidence from document contents, its metadata and the contents and link structure of the referring pages, they still do not adequately cover information sources -- often called ``the hidden Web''-- that dynamically generate documents in response to a query. The recently popular social bookmarking sites, which allow users to annotate and share metadata about various information sources, provide rich evidence for resource discovery. In this paper, we describe a probabilistic model of the user annotation process in a social bookmarking system del.icio.us. We then use the model to automatically find resources relevant to a particular information domain. Our experimental results on data obtained from \emph{del.icio.us} show this approach as a promising method for helping automate the resource discovery task.Comment: 6 pages, submitted to AAAI07 workshop on Information Integration on the We

Resource Oriented Modelling: Describing Restful Web Services Using Collaboration Diagrams

The popularity of Resource Oriented and RESTful Web Services is increasing rapidly. In these, resources are key actors in the interfaces, in contrast to other approaches where services, messages or objects are. This distinctive feature necessitates a new approach for modelling RESTful interfaces providing a more intuitive mapping from model to implementation than could be achieved with non-resource methods. With this objective we propose an approach to describe Resource Oriented and RESTful Web Services based on UML collaboration diagrams. Then use it to model scenarios from several problem domains, arguing that Resource Oriented and RESTful Web Services can be used in systems which go beyond ad-hoc integration. Using the scenarios we demonstrate how the approach is useful for: eliciting domain ontologies; identifying recurring patterns; and capturing static and dynamic aspects of the interface

Integrated Resource Planning for a Chinese Urban Development

Urban areas manage vast quantities of energy, water and waste resources. In order to minimise the cost and environmental impact, optimisation modelling is often used in the design and operation of these systems. However, traditional modelling approaches only consider the energy, water and waste sectors in isolation. This approach neglects the synergies possible between these systems whereby outputs from one system form an input to another, and hence sets an upper bound on economic and environmental impact minimisation. We formulate a mixed integer linear programming (MILP) model which takes a ‘systems-of-infrastructure systems’ approach to show how resource consumption can be reduced. The model takes as inputs possible resource conversion and transportation infrastructure and resources, and resource demands, and returns the optimal infrastructure choice and layout. The model is called PRaQ because it models ‘processes, resources and qualities.’ We apply the model to the design of a new urban development in China for three scenarios of various levels of resource integration. Results are still to be obtained

UniProt in RDF: Tackling Data Integration and Distributed Annotation with the Semantic Web

The UniProt knowledgebase (UniProtKB) is a comprehensive repository of protein sequence and annotation data. We collect information from the scientific literature and other databases and provide links to over one hundred biological resources. Such links between different databases are an important basis for data integration, but the lack of a common standard to represent and link information makes data integration an expensive business. At UniProt we have started to tackle this problem by using the Resource Description Framework ("http://www.w3.org/RDF/":http://www.w3.org/RDF/) to represent our data. RDF is a core technology for the World Wide Web Consortium's Semantic Web activities ("http://www.w3.org/2001/sw/":http://www.w3.org/2001/sw/) and is therefore well suited to work in a distributed and decentralized environment. The RDF data model represents arbitrary information as a set of simple statements of the form subject-predicate-object. To enable the linking of data on the Web, RDF requires that each resource must have a (globally) unique identifier. These identifiers allow everybody to make statements about a given resource and, together with the simple structure of the RDF data model, make it easy to combine the statements made by different people (or databases) to allow queries across different datasets. RDF is thus an industry standard that can make a major contribution to solve two important problems of bioinformatics: distributed annotation and data integration

Static and Dynamic Resource Allocation Effects of Corporate and PersonalTax Integration in the U.S.: A General Equilibrium Approach(Rev)

This paper presents estimates of static and dynamic general equilibrium resource allocation effects for four alternative plans for corporate and personal income tax integration in the U.S. A medium—scale numerical general equilibrium model is used which integrates the U.S. tax system with consumer demand behavior by household and producer behavior by industry. Results indicate that total integration of personal and corporate taxes would yield an annual static efficiency gain of around $4 billion (1973 dollars). Partial integration plans yield less. Dynamic effects are larger, and our analysis indicates that full integration may yield gains whose present value is as large as$400 billion or 0.8% of the discounted present value of the GNP stream to the U.S. economy after correction for population growth. Plans differ in their distributional impacts, although these findings depend on the nature of replacement taxes used to preserve government revenues. The size of dynamic resource allocation effects are sensitive to the choice of the replacement tax, while static gains are reasonably robust.

A Model for Efficiency-Based Resource Integration in Services

Service processes, such as consulting, require coordinated efforts from the service recipient (client) and the service provider in order to deliver the desired output – a process known as resource integration. Client involvement directly affects the efficiency of service processes, thereby affecting capacity decisions. We present a mathematical model of the resource-integration decision for a service process through which the client and the service provider co-produce resource outputs. This workforce planning model is unique because we include the extent of client involvement as a policy variable and introduce to the resource-planning model efficiency and quality performance measures, which are functions of client involvement. The optimization of resource planning for services produces interesting policy prescriptions due to the presence of a client-modulated efficiency function in the capacity constraint and subjective client value placed on participation in the service process. The primary results of this research are optimal decision rules that provide insights into the optimal levels of client involvement and provider commitment in resource integration