17122130
A dynamic services discovery framework for traversing Web Services representation chain
In this paper, we propose a dynamic service discovery framework from Web services representation chain. The major components include Web service chains precategorizing module, service exploration engine, services container, chain change detection module with associated control parameters. From the working research prototype, our proposed mechanism enables businesses to easily retrieve up-to-date Web services linked and nested multi-level deep in the service description documents. In addition, a federated Web services discovery portal is illustrated to show how the research results are aggregated from hyperlinked WSIL documents as well as UDDl registries for achieving more accurate services exploration result.
21758360
WS-trustworthy: a framework for Web services centered trustworthy computing
The emerging paradigm of Web services has been gaining significant momentum in the recent years since it offers a promising way to facilitate business-to-business (B2B) collaboration. However, it is not clear that this new model of Web services provides any measurable increase in computing trustworthiness. We propose a generic framework to control the trustworthiness of computing in the domain of Web services. A layered model is established to highlight four key elements: resources, policies, validation processes, and management. The robustness of this model exhibits its flexibility and extensibility. Examples utilizing our framework are reported.
5757371
A Semantic Framework for Distributed Applications
6452442
A Method of Enabling Automated Invocation of Web Services
While Web services provide an essential building block for realizing dynamic e-business by facilitating standardsbased program-to-program interaction, they do not address many business aspects of communication such as security, access control, business partner selection, service level agreement monitoring, and logging. In this paper, we propose a service-oriented framework that provides these much needed infrastructure services. Using the framework, service providers can prepare their business applications for publishing as Web services, and specify access controls on their services in the registry while service requestors can find suitable service providers and invoke their services dynamically. The framework ensures that all transactions are secure, monitored for service level agreements and logged for audit purposes. By providing business utility services and automation technology founded on Web services, we believe that, our framework takes Web services to the next level in supporting dynamic e-business.
17426553
On-demand business collaboration enablement with web services
Businesses are increasingly outsourcing key operations and interacting with ever extending nets of partners. Running extended business-to-business (B2B) operations creates the need for more advanced human interaction while advancing the automation base of B2B functions. In this paper, we introduce a model for on-demand business process-based collaboration, namely, Extended Business Collaboration (eBC), and its major elements of modeling, and a configurable business protocol-enabling framework. We discuss some of the major research issues associated with facilitating extended business collaboration, and present our proposed Annotated Business HyperChain technology leveraging Web services and semantic annotation model. A research prototype is described, followed by some observations and discussion of open research issues requiring further exploration.
24114295
WS-EPM: Web services for enterprise project management
This work presents a new service-oriented architecture for enterprise project management that integrates business process, human resources and project management within an enterprise or across the value chain network. In the proposed WS-EPM framework, the project resources include business processes, skilled people, physical resources, control policies, and so forth. The project resources used in WS-EPM are described by WSResource properties language. In addition, the coordination of project resources is guided by a set of operations modeled by business process execution language for Web services (BPEL4WS). At the end of this paper, we present an industry application scenario that leverages the proposed WS-EPM for achieving maximum ROI with limited resources.
12034638
A block-based inter-band lossless hyperspectral image compressor
We propose a hyperspectral image compressor called BH which considers its input image as being partitioned into square blocks, each lying entirely within a particular band, and compresses one such block at a time by using the following steps: first predict the block from the corresponding block in the previous band, then select a predesigned code based on the prediction errors, and finally encode the predictor coefficient and errors. Apart from giving good compression rates and being fast, BH can provide random access to spatial locations in the image. We hypothesize that BH works well because it accommodates the rapidly changing image brightness that often occurs in hyperspectral images. We also propose an intra-band compressor called LM which is worse than BH, but whose performance helps explain BH's performance.
1882847
User Feedback-Based Refinement for Web Services Retrieval using Multiple Instance Learning
A critical step in the process of reusing existing WSDL-specified components is the discovery of potentially relevant Web services. Traditional category based Web service retrieval usually can achieve good recall but worse precision because some semantically relevant Web services are not actually relevant as they cannot provide suitable interfaces. In this paper, we present an interactive Web services retrieval mechanism to refine the coarse retrieval results set in category based retrieval. In the refinement, the signature matching of Web services that concerning the structure of operation specifications is investigated from a multi-instances view. In detail, each Web service is represented as a bag in multiple instance learning, while each operation in this Web service is regarded as an instance. This representation lies in that a user regards a service as useful if at least one operation provided by this Web service is useful. Experimental results show that our approach can improve the retrieval performance significantly: It can gain 83% precision in average after two rounds of user relevance feedback
22235359
Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition
In this paper, we put forward an automatic method of acquiring the specific system composition model from a domain composition model and requirements for the specific system in domain-specific Web services composition. This is referred to as the variability consolidation problem in this paper. To achieve this goal, we designed a language to describe domain properties for Web services composition. The basis of our approach is to transform the domain composition model and the requirements for the specific system into a mathematical optimization problem, which can be solved by existing algorithms. Thus, this method is fully automatic and not prone to human errors. Our preliminary experimental results show that our method is quite feasible for solving problems with real world sizes.
9540989
Word Graphs: The Third Set
This is the third paper in a series of natural language processing in term of knowledge graphs. A word is a basic unit in natural language processing. This is why we study word graphs. Word graphs were already built for prepositions and adwords (including adjectives, adverbs and Chinese quantity words) in two other papers [2], [3]. In this paper, we propose the concept of the logic word and classify logic words into groups in terms of semantics and the way they are used in describing reasoning processes.
8491161
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that these focused named entities are useful for many natural language processing applications, such as document summarization, search result ranking, and entity detection and tracking. We propose a statistical model for focused named entity recognition by converting it into a classification problem. We then study the impact of various linguistic features and compare a number of classification algorithms. From experiments on an annotated Chinese news corpus, we demonstrate that the proposed method can achieve near human-level accuracy.