Zaiwen Feng

Huazhong Agricultural University | HZAU · College of Informatics

Feed efficiency (FE) is essential for pig production, has been reported to be partially explained by gut microbiota. Despite an extensive body of research literature to this topic, studies regarding the regulation of feed efficiency by gut microbiota remain fragmented and mostly confined to disorganized or semi-structured unrestricted texts. Meanwh...

Estimating the causal effect of a treatment on an outcome of interest, i.e., causal effect estimation, is critical to understanding the mechanism underlying the data in various domains. However, the estimation of causal effects, particularly with high-dimensional data, is challenging due to the presence of high-dimensional catastrophes and complex...

Feed efficiency (FE) is essential for pig production, has been reported to be partially explained by gut microbiota. Despite an extensive body of research literature to this topic, studies regarding the regulation of feed efficiency by intestinal microbiota remain fragmented and mostly confined to disorganized or semi-structured unrestricted texts....

Graph differential dependencies (GDDs) are a novel class of integrity constraints in property graphs for capturing and expressing the semantics of difference in graph data. They are more expressive, and subsume other graph dependencies; and thus, are more useful for addressing many real-world graph data quality/management problems. In this paper, w...

This paper studies the discovery of approximate rules in property graphs. First, we propose a semantically meaningful measure of error for mining graph entity dependencies (GEDs) that almost hold, to tolerate errors and inconsistencies that exist in real-world graphs. Second, we present a new characterisation of GED satisfaction, and devise a depth...

In causal inference, a fundamental task is to estimate causal effects using observational data with confounding variables. K Nearest Neighbor Matching (K-NNM) is a commonly used method to address confounding bias. However, the traditional K-NNM method uses the same K value for all units, which may result in unacceptable performance in real-world ap...

In modern maritime activities, the quality of ship communication directly impacts the safety, efficiency, and economic viability of ship operations. Therefore, predicting and analyzing ship communication status has become a crucial task to ensure the smooth operation of ships. Currently, ship communication status analysis heavily relies on large-sc...

Currently, the knowledge graph construction from the text mainly relies on document-level relation extraction models. However, these models have lower accuracy due to the limitations in capturing relations across sentences and documents. To address this problem, this paper proposes a novel approach to continuously construct a knowledge graph based...

The identification and discovery of drug-target Interaction (DTI) is an important step in the field of Drug research and development, which can help scientists discover new drugs and accelerate the development process. KnowledgeGraph and the related knowledge graph Embedding (KGE) model develop rapidly and show good performance in the field of drug...

This paper studies the discovery of approximate rules in property graphs. We propose a semantically meaningful measure of error for mining graph entity dependencies (GEDs) at almost hold, to tolerate errors and inconsistencies that exist in real-world graphs. We present a new characterisation of GED satisfaction, and devise a depth-first search str...

Inter- and intra-specific variations in phenotype are common and can be associated with genomic mutations as well as epigenomic variation. Profiling both genomic and epigenomic variants is at the core of dissecting phenotypic variation. However, an efficient targeted genotyping and epigenotyping system is lacking. We describe a new multiplex target...

With the continuous development of business process management technology, the increasing business process models are usually owned by large enterprises. In large enterprises, different stakeholders may modify the same business process model. In order to better manage the changeability of processes, they adopt configurable business process models t...

Gut microbiota plays a crucial role in modulating pig development and health, and gut microbiota characteristics are associated with differences in feed efficiency. To answer open questions in feed efficiency analysis, biologists seek to retrieve information across multiple heterogeneous data sources. However, this is error-prone and time-consuming...

Gut microbiota plays a crucial role in modulating pig development and health, and gut microbiota characteristics are associated with differences in feed efficiency. To answer open questions in feed efficiency analysis, biologists seek to retrieve information across multiple heterogeneous data sources. However, this is error-prone and time-consuming...

Graph entity dependencies (GEDs) are novel graph constraints, unifying keys and functional dependencies, for property graphs. They have been found useful in many real-world data quality and data management tasks, including fact checking on social media networks and entity resolution. In this paper, we study the discovery problem of GEDs -- finding...

Causal inference plays an important role in under standing the underlying mechanisation of the data generation process across various domains. It is challenging to estimate the average causal effect and individual causal effects from observational data with high-dimensional covariates due to the curse of dimension and the problem of data sufficienc...

A critical step in sharing semantic content online is to map the structural data source to a public domain ontology. This problem is denoted as the Relational-To-Ontology Mapping Problem (Rel2Onto). A huge effort and expertise are required for manually modeling the semantics of data. Therefore, an automatic approach for learning the semantics of a...

Inconsistency, incompleteness, inaccuracy and inexpressibility(4-No problem) in input and outcome of content processing has become a new form requirement in energy efficient computation, storage and communication. To cope this challenge, we propose to map content with 4-No problem to typed Data, Information, Knowledge, Wisdom and Pur�pose(DIKWP) in...

A critical step in sharing semantic content online is to map the structural data source to a public domain ontology. This problem is denoted as the Relational-To-Ontology Mapping Problem (Rel2Onto). A huge effort and expertise are required for manually modeling the semantics of data. Therefore, an automatic approach for learning the semantics of a...

Inconsistency, incompleteness, inaccuracy and inexpressibility(4-No problem) in input and outcome of content processing has become a new form requirement in energy efficient computation, storage and communication. To cope this challenge, we propose to map content with 4-No problem to typed Data, Information, Knowledge, Wisdom and Purpose(DIKWP) in...

Mapping structured data to a shared domain on-tology is a key step in publishing semantic content on the Web. This problem is known as Relational-To-Ontology Mapping Problem (Rel2Onto). Modeling the semantics of data manually requires huge human cost and expertise, making an automatic method of semantic modeling desired. Most of the related work fo...

Knowledge Graphs (KGs), as one of the key trends which are driving the next wave of technologies, have now become a new form of knowledge representation, and a cornerstone for several applications from generic to specific industrial use cases. However, in some specific domains such as law enforcement, a real and large domain-oriented KG is often un...

With the development of cloud computing and the rise of smart city, smart city cloud service platforms are widely accepted by more and more enterprises and individuals. The underlying cloud workflow systems accumulate large numbers of business process models. How to achieve efficiently querying large process model repositories in smart city cloud w...

To facilitate business collaboration and interoperation among enterprises, it is critical to discover and reuse appropriate business processes modeled in different languages and stored in different repositories. However, the formats of business process models are very different, which makes it a challenge to fuse them in a unified way without chang...

'Communication achieves all, and interaction creates value.' To realize innovative value services of 'Internet plus' applications in the context where networking interaction exists everywhere, the supply-demand interaction and its semantic interoperability techniques become the golden key to facilitate on-demand business collaboration, construct 'S...

To monitor the business process compliance, the bpCMon framework for compliance monitoring was proposed, which consisted of an expressive compliance rule language ECL and a rule system ERS. ECL was a formal language for specifying compliance rules of multiple perspectives and describing events correlations as required. ERS was a powerful rule syste...

Business processes compliance monitoring checks whether running business processes comply with involved compliance rules. Business processes in modern enterprise are rarely supported by a single and centralized workflow system, but instead implemented over different applications (e.g., CRM, ERP, WfMS, and legacy systems). The running data (i.e., ev...

Process behavioral similarity calculation is widely used in many activities of business process management, such as process mining, process clustering and process retrieval. However, most existing process behavioral similarity measurement methods do not consider variable constraints (e.g. time constraints) in process models. Since the variable cons...

Process modeling is the key activity for users to apply cloud workflow service, and the retrieval, transformation and analysis of different format process models is the key technology for the realization of users’ (enterprise tenants) internal business process integration and optimization. Most existing process modeling tools only support a specifi...

This paper proposes a framework for carrying out semi-automatic service-based business process configuration. We design and implement a variation point ontology and business rule ontology, and propose seven kinds of meta rules to guide specific business rules, in which the guidelines of variable points are presented by these specific rules. We empl...

With the development of web service applications, how to improve the efficiency of service discovery is an important research work in service computing era. Based on the service clusters which are formed through service clustering, this paper uses the Decorator Pattern ideology to organize the service clusters according to the collaborative relatio...

In a business cloud environment, a reference business process model needs to be customized in order to meet the individualized requirements of each organization. Consequently, a reference process model is generally evolved to a couple of process variants, known as a process family. Currently, there exist some approaches and tools that can efficient...

As cloud computing platforms are widely accepted by more and more enterprises and individuals, the underlying cloud workflow systems accumulate large numbers of business process models. Retrieving and recommending the most similar process models according to the tenant?s requirements become extremely important, for it is not only beneficial to prom...

In configurable business process model, an incorrect configuration may lead to behavioral issues. The researches of the configurable business process model focus on the control-flow perspective but lacking the perspective of the data-flow, which can’t reflect the constraints of data-flow during the configuration. To overcome this shortage, this pap...

Most existing cloud workflow modeling approaches focus on how to support business process customization for multiple tenants. But there are many factors to be considered in actual cloud workflow modeling, such as how to model interaction between different tenants’ business processes while protecting their privacy respectively, and how to facilitate...

Configurable business process model enable the sharing of common processes among different organizations in a controlled manner, this model is intended to be configured to meet the requirements of specific organizations, then leading to individualized process models, so it is important issue to formal modeling and verify for configurable business p...

This paper describes the concept of workflow merge and methods for merging business processes. We append effect annotations to activities of business process, use RPSTs divided the process graph to fragments then accumulate these effects according to these SESE fragments, detect exact clone and approximate clone between the two process models, fina...

With the growth of all kinds of Web services on the internet, how to discover the services which can meet the user's personalized and diverse requirements is a key problem that needs to be resolved. This paper proposes an on-demand service organization and recommendation approach based on the user's role, goal, process and service models specific t...

Software as a Service (SaaS) aims to provide utility-oriented software delivery and provisioning. While software being published as reusable Web APIs, users can quickly compose multiple services into a new value-added process: a mashup. However, various users may have different requirements, thus preferring to compose the same set of services in di...

Composition of Web services can be very complex, and usually involves multiple atomic services and varieties of message exchange patterns. Worst still, with the increasing amount of available services with varying granularity and quality, selecting the best combination of services becomes very challenging. This paper addresses the issues on multi-g...

With the recent advances in Internet and mobile technologies, there are increasing demands for ubiquitous access to food safety information for service integration and gathering first hand information. However, due to disparate food trading information among different food suppliers throughout the food supply chain such as food importers, food whol...

Configurable process models can be used to provide information on business processes for different user groups in an appropriate and efficient manner. It promotes the reuse of proven practices by providing analysts with a generic modeling artifact from which to derive individual process models. Before a configurable business process being configure...

To enable sustainable service innovation, services are often subject to changes and variations. In particular, service evolution creates problems in invocation if the service users cannot be notified timely. Therefore managing service evolution is a key challenge of the Service-Oriented paradigm. To address this problem, we design a meta-model to f...

Social tagging has become a popular solution for recognition and management of resources in Web2.0 era. To solve the current problem of insufficient capacity of semantic description of Web services, a multi-dimensional social tagging approach for Web services semantics is proposed. Under the guidance of social tagging model, users can choose severa...

Service-oriented self-adaptation software (SoSAS) utilizes services as fundamental elements for developing applications that have the capability to autonomously modify their behavior at run-time in response to changes in their environment. While a few techniques have been developed to support the modeling and analysis of requirements for self-adapt...

Service oriented computing utilizes services as fundamental elements for developing applications that have the capability to autonomously modify their behavior at run-time in response to the changes in their environment, which is especially suitable for designing and developing self-adaptive software. While uncertainty induced by randomness environ...

A Web service specification can be quite complex, including multiple operations and various kinds of message exchange patterns. In this work, we focus on the problem of restructuring a Web service, which contains a process model inside, preserving at the same time its behavior that is shown to the service user. We provide a behavioral signature mod...

With the development of Web service technology, using composite services to satisfy users' requirements has become an inevitable tendency. Goal changes caused by changing requirements of users may directly drive the corresponding evolution of service composition. However, most researches focus on how to compose services, and little efforts have bee...

Service-oriented software utilizes services as fundamental elements for developing applications that have the capability to autonomously modify their behavior at run-time in response to changes in their environment. While a few techniques have been developed to support the modeling and analysis of requirements for self-adaptive systems, limited att...

While a few techniques have been developed to support the modeling and analysis of requirements for self-adaptive systems, limited attention has been paid to the description of service requirements and uncertainty in requirements of SoSAS. In this paper, we discussed the characteristics of service-oriented self-adaptation software. A context snapsh...

In the modern world of service-oriented software engineering (SOSE), the services can be aggregated from the semantic interoperability level to meet the user's personal and diversified needs. First, the paper proposes a service clustering method based on service ontology. It clusters services from the function perspective to form the service cluste...

In this paper, atomic services are orchestrated by a business process in the context of service composition. To enhance the quality of service composition, this paper introduces a behavior-based approach, which may alter the structure of business process aiming to preserving behavior semantics of the composite service. The result of the experiment...

Presently, the research on evolution of SOA solution is becoming more and more important in industry. It is necessary to extract a taxonomy framework for evolution of SOA solution because by using it, evolution of SOA-based systems can be analyzed and compared comprehensively and objectively. In this paper, a taxonomy framework for evolution of SOA...

With the rapid development of service computing related technology, the number of application of service based system (SBS) in enterprise is increasing rapidly. Research on evolution of SBS is becoming more and more important. In this paper, we propose a taxonomy framework for evolution of SBS, which is illustrated from five perspectives: (a) motiv...

Electronic Business (e-Business) system is a typical heterogeneous information system, which is concerned with various data types, communication protocols, business processes, and exchanged business contents between these systems. The interoperability assurance between e-Business systems is a key issue for the implementation and application of a se...

Currently there exist many kinds of semantic Web Service models on the internet. They are heterogeneous so that it is hard to understand and interoperate each other. In this paper, we study several mainstream semantic Web Service models, and extract meta-models for each from the perspective of semantic Web Service discovery. Based on this, we propo...

In service-oriented computing, business process is the foundation for developing Web services based applications. In order to facilitate service composition for personalized requests, it is needed to customize business process in an efficient and user-friendly way. Reuse of business process can benefit customization of processes. Since registration...

The interoperability between the e-business platforms is the precondition of bringing it into effect. The automatic test model proposed in this article can execute the interoperability testing between message service handlers applied in the e-business platforms. In addition, the model has the advantage of good extension. The test cases and the othe...

Constrained by the context around user, the service discovery result mostly does not fulfill the context expectation of user s when we apply traditional semantic Web service discovery method. An approach for Web service discovery based on context and inference rules is proposed in the paper. The result of Web service discovery will fulfill the user...

Service-oriented software development emerges to be popular with the development of Internet and Web service. Web service offers agility and adaptability to rapid changes of userspsila requirements. Goal models depict userspsila desires in terms of goals, namely, why-to-do; BPEL provides means to describe Web service composition using WS-BPEL2.0, n...

Requirements discovery is the base of software engineering, and it has a great effect on the software development. The requirements are usually elicited through the communication with users in practice, but this method is not suit for networked software. In this paper, we present a novel method for requirements discovery in networked software. It r...

Service oriented computing (SOC) is a promising paradigm to reuse and integrate existing services to develop applications across organizations for fulfilling value-added purpose. Networked softwork is a kind of classic application of SOC. It is of complicated and evolving topology and behaviours. The requirement engineering is posed by the serious...

Networked software is a kind of Internet-based online complex software system produced through interaction and cooperation between networks and users who act as both consumer and producer of the system composed of web services. To meet a mass of individualized requirements, specifications for common requirements of the domain need to modify and evo...