Semantic Web Approach in Designing a Collaborative E-Item Bank System

The domain of architecture, engineering and construction (AEC) has experienced significant improvements with the advent of building information modelling (BIM) applications, which allow AEC specialists to model all information concerning a building design into one three-dimensional building model. Much of these improvements are however generated by the mere availability of such an environment, whereas many more improvements were expected by achieving an appropriate interoperability of information. We are investigating why such an interoperability is not reached fully and consider the semantic web as an alternative approach to reach the targeted interoperability. In this paper, an AEC description framework based on semantic web technology is presented and compared to the BIM approach, after which we indicate how it might solve the issue of interoperability more appropriately. Our evaluation of this investigation indicates the semantic web approach as a valid alternative approach, although considerably more research is needed to show it capable of providing the targeted interoperability of information in the AEC domain.

Rapid emergence of knowledge retrieval techniques have assists in innovation especially in search engine related field. However, there is still room for improvement related to data reliability. Most knowledge on the Web is presented as natural-language text that understandable by human but difficult for computers to interpret. Therefore, Semantic Web approach is widely used to give more reliable application. This paper presents an idea of combining three concepts to enhance knowledge retrieval processes using Semantic Web technologies. Instead of using ontology and clustering/categorization alone, we are injecting user profiling concept from Relational Database (RDB) to ensure more reliable data are obtained in terms of users? perspective. The impact of Knowledge Retrieval using proposed technique will be continues in future work.

In recent years, there has been growing interest in Location Based Service (LBS). However, the existing LBS has some limitations in the management of dynamic location-dependent contents and interoperability between the different platforms and various domains. We have focused on how LBS applications obtain integrated, dynamic, and sensitive contents on the different domains. We approach the Semantic Web technologies to resolve these issues. In this paper, we design the architecture to combine the Semantic Web technologies with the LBS and implement the prototype to describe the Semantic LBS.

The Social Web is a set of social relations that link people through World Wide Web. This Social Web encompasses how the websites and software are designed and developed to support social relations. The new paradigms, tools and web services introduced by Social Web are widely accepted by internet users. The main drawbacks of these tools are it acts as independent data silos; hence interoperability among applications is a complex issue. This paper focuses on this issue and how best we can use semantic web technologies to achieve interoperability among applications.

Decision making in the field of medical diagnosis involves a degree of uncertainty and a need to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician, to determine and confirm the diagnosis. In this study, we investigated and evaluated a model framework, for diagnostic decisions, based on a cognitive process and a Semantic Web approach. Fuzzy cognitive maps (FCM) are a cognitive process applying the main features of fuzzy logic and neural processors to situations involving imprecision and uncertain descriptions, in a similar way to intuitive human reasoning. We explored the use of this method for modeling clinical practice guidelines, using Semantic Web tools to implement these guidelines and for the formalization process. Twenty-five clinical and 13 diagnosis concepts were identified, to represent the problem of urinary tract infection diagnosis.

Exam item bank system is an important precondition for the separation of teaching and examination and helpful for easing the burden of teachers. It is also the foundation of assessing teaching achievements equitably and objectively, being useful for supervising teachers teaching. Therefore, this paper designed a distributed item bank system with high scalability based on a popular big data processing platform, Hadoop. The system exploited Hadoop distributed file system for unstructured item data storage, and utilized Hadoop ecosystem to respectively design functions of test paper generation, test paper search, item retrieval, test result check, test result analysis, item similarity retrieval, and so on. The paper presented the formalization description of the test paper generation problem, based on which users could design smart and efficient test paper generation algorithms based on the methods of heuristic, metaheuristic, machine learning, or any others in the system.

Semantic Web for Health Care and Life Sciences: a review of the state of the art

Semantic mashup of biomedical data

To develop a collaborative item bank system and implementation methods used in data communications and data processing devices. The test bank system includes: database module, test module, communication module and access module. The implementation of the system includes the establishment of test database, paper library, the table of assessment and the table of features. Periodic testing and feedback results are required. Online communication and research discussions are required according to results based on feedback. Apply the implementation of characteristics and retrieval to the measured object Construct and use this system according to the characteristics of the object . The bank system and the implementation can help online team-based teaching model to guide the students to learning and formative assessment.Keywordstest bank systemsresearchimplementation

In this paper, we describe our work in progress on the reasoning module of ec(h)o, an augmented audio-reality interface for museum visitors utilizing spatialized soundscapes and a semantic web approach to information. We used ontologies to describe the semantics of sound objects and represent user model. A rule-based system for selecting sound object uses semantic description of objects, visitor's interaction history and heuristics for continuity of the dialogue between user and the system.

Business Webs apply the idea of value networks to the WWW. The underlying delivery platform is commonly referred to as the Internet of Services and will certainly have to deal with a great variety and amount of information about services along several service information dimensions. As soon as brokerage, discovery, or community feedback parts are decentralized, there emerge a number of service information challenges (modeling the information in a holistic way, documentation, interlinkage, tool interoperability, distributed querying, inconsistent information, and cooperation of different stakeholders). In this paper, we propose to counter such service information challenges by two artifacts. First, we contribute a Service Ontology based on a sound and rigid foundational ontology. The Service Ontology provides a holistic and consistent way of capturing service information. We apply the recommendations of the W3C Semantic Web Activity whose recent standardization has already opened new possibilities for tool interoperability, interlinkage of information, and distributed querying on the web. However, building and prescribing an ontology in standardized languages is not enough to address all service information challenges. Therefore, as a second contribution, we provide a method around the ontology including a governance framework, guidelines for applying the W3C Semantic Web recommendations, a lifecycle-spanning tool chain, and different levels of applicability. We label our method Semantic Business Web approach, since we build on W3C Semantic Web standards, use and extend them in the Business Web setting. Both artifacts are constructed in an interdisciplinary way by experts participating in the German lighthouse project THESEUS/TEXO. The project’s scenario also serves as a proof of concept evaluation of the artifacts.

The development of learning objects which are smaller chunks of learning content is often time consuming and expensive. Recent efforts in producing learning objects that are reusable and sharable were not very successful due to the lack of interoperability between different learning systems. Semantic Web technologies together with ontologies provide rich medium for facilitating e-learning via the semantic annotated learning objects and shared repositories. However, Semantic Web technologies have not yet been applied widely to deliver learning objects. This paper introduces enabling technologies for developing next-generation learning object repository for construction. Semantic Web, ontology, reasoners, and associated technologies are discussed within the paper. This paper also demonstrates how the ontologies and Semantic Web technologies can be used to develop and deliver intelligent, sharable and dynamic learning objects. The paper also outlines the development of repository using the ontology-driven Semantic Web approach and discusses the construction education ontology and semantic databases.

Security is one of the key challenges for the development of distributed collaborative manufacturing systems. Most of the access control models of collaborative systems cannot prevent illegal accesses to column/row levels of a database table, which could be caused by command injection. This paper firstly presents the possible injection attacks in RDBMS-based collaborative system on the Semantic Web and gives their classification. Based on this classification, the paper then describes an attempt at detecting command injections to the distributed collaborative manufacturing systems by comparing the inputs related nodes that are intended with the resulting parse tree in run time. To validate the proposed approach, a prototype system called “SemGuard” has been developed. By testing on two commonly used RDF databases and one real Semantic Web application, it shows that SemGuard is efficient, taking less than 10 ms overhead to protect the context information of a distributed collaborative manufacturing system.

A Curriculum Vitae (CV) or a résumé, in general, consists of personal information, education information, work experience, qualifications and preferences parts. Scanning or making structural transformation of the millions of free-formatted résumés from the databases of companies / institutions with human factor will result in the loss of too much time and human effort. In the literature, a limited number of studies have been done to change the résumés of the free-format to a structural format. The overall objective of the study is to infer required information such as user’s experience, features, business and education from résumés of the potential user of a human resources system. In this article, we proposed an ontology driven information parsing system that is planned to operate on few millions of résumés to convert them structured format for the purpose of expert finding through the Semantic Web approach.

A semantic web approach to biological pathway data reasoning and integration