Xiaomeng Su

A survey of automated web service composition methods

In today’s Web, Web services are created and updated on the fly. It’s already beyond the human ability to analysis them and generate the composition plan manually. A number of approaches have been proposed to tackle that problem. Most of them are inspired by the researches in cross-enterprise workflow and AI planning. This paper gives an overview of recent research efforts of automatic Web service composition both from the workflow and AI planning research community.

A Comparative Study of Ontology Languages and Tools

There are many languages and tools for constructing ontologies. In this paper we survey and compare different ontology languages and tools by the aid of an evaluation framework. A semiotic framework is adopted to aid the evaluation. We hope the evluation results can be used in helping user to choose suitable language and tool in the task of onotloy building.

An information retrieval approach to ontology mapping

In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e., using instance information of the ontology to enrich the original ontology and calculate similarities between concepts in two ontologies. The functional settings for the mapping system are discussed and the evaluation of the prototype implementation of the approach is reported.

Semantic Enrichment for Ontology Mapping

In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e. using instance information of the ontology to enrich the original ontology and calculate similarities between concepts in two ontologies. The functional settings for the mapping system are discussed and the evaluation of the prototype implementation of the approach is reported.

Semantic enrichment for improving systems interoperability

The overall goal addressed in this paper is to improve semantic interoperability in heterogeneous systems by means of establishing mappings between relevant domain ontologies. The mappings are discovered based on the technique of semantic enrichment through extension analysis, i.e. using instance information of the ontology to enrich the original ontology and further to calculate similarities between concepts in two ontologies. Text categorization is used to automatically assign instance to the concepts in the ontology. Information retrieval techniques are used to calculate similarity between concepts. Based on the similarities measure, a heuristic method is used to establish mapping assertions for the two ontologies. The method is illustrated using a product catalogue scenario.

A text mining approach to integrating business process models and governing documents

As large companies are building up their enterprise architecture solutions, they need to relate business process descriptions to lengthy and formally structured documents of corporate policies and standards. However, these documents are usually not specific to particular tasks or processes, and the user is left to read through a substantial amount of irrelevant text to find the few fragments that are relevant to him. In this paper, we describe a text mining approach to establishing links between business process model elements and relevant parts of governing documents in Statoil, one of Norway’s largest companies. The approach builds on standard IR techniques, gives us a ranked list of text fragments for each business process activity, and can easily be integrated with Statoil’s enterprise architecture solution. With these ranked lists at hand, users can easily find the most relevant sections to read before carrying out their activities.

Implementing explanation ontology for agent system

The overall issue is to improve semantic interoperability among and across agent systems. We propose to use explanation as a way to approach that aim. The explanation process is expressed in terms of an explanation ontology shared by the agents who participate to the explanation session. The explanation ontology is defined in a way general enough to support a variety of explanation mechanisms. We describe the explanation ontology and provide a working through example illustrating how the proposed generic ontology can be used to develop specific explanation mechanism. Finally, the ontology is being integrated into a running agent platform - Agora to demonstrate the practical usefulness of the approach.

Toward the Composition of Semantic Web Services

This paper introduces a method for automatic composition of semantic web services using linear logic theorem proving. The method uses semantic web service language (DAML-S) for external presentation of web services, and, internally, the services are presented by extralogical axioms and proofs in linear logic. Linear logic(LL)[2], as a resource conscious logic, enables us to define the attributes of web services formally (in particular, qualitative and quantitative value of non-functional attributes). The subtyping rules that are used for semantic reasoning are presented as linear logic implication. We propose a system architecture where the DAML-S parser, linear logic theorem prover and semantic reasoner can work together. This architecture has been implemented in Java programming language.

Telecom industry in the cloud value chain: methods for assessing business opportunities

Cloud computing represents a major change in how IT resources are delivered and consumed and will influence the telecom industry, its future services and business offerings. Generating new revenues through offering cloud-based services is less discussed in the literature, followed by a lack of commonly agreed and complete methodologies for this purpose. In this paper we propose a three-step method combining qualitative and quantitative models for the assessment of telcos new business opportunities, in particular, a combined role of cloud broker and carrier.

Interactive mobile news recommender system: A preliminary study of usability factors

Interactive news recommender systems allow the user to steer the received recommendations in the desired directions through explicit interaction with the system. It provides a user experience in between a “lean back and let the news wash over me” experience and an “active search and hunt for specific pieces” experience. On the other hand, this added level of interaction might also be perceived as extra burden from the user side and therefore experience a decreased level of user experience. This paper describes a user study which uncovers factors that influence the usability of interactive news recommender system. The user study is carried out by contrasting an experimental system where interaction is granted with a baseline system where interaction is absent. The study demonstrated that test participants find the ability to actively shape its news recommendation strategy a useful and desirable feature. In addition, time, location and user interest as dimensions for interaction seems reasonable. Lastly, it identifies three factors that are of particular importance when designing interactive news recommender systems.