701274
Towards a Pattern-Driven Topical Ontology Modeling Methodology in Elderly Care Homes
This paper presents a pattern-driven ontology modeling methodology, which is used to create topical ontologies in the human resource management (HRM) domain. An ontology topic is used to group concepts from different contexts (or even from different domain ontologies). We use the Organization for Economic Co-operation and Development (OECD) and the National Vocational Qualification (NVQ) as the resource to create the topical ontologies in this paper. The methodology is implemented in a tool called PAD-ON suit. The paper approach is illustrated with a use case from elderly care homes in UK.
31156520
An Ontology-based Data Matching Framework: use Case Competency-based HRM
As part of the European PROLIX (Process Oriented Learning and Information eXchange) project, VUB STARLab designed a generic ontology-based data matching framework (ODMF). Within the project, the ODMF is used to calculate the similarity between data elements, e.g. competency, function, person, task, and qualification, based on competency-information. Several ontology-based data matching strategies were implemented and evaluated as part of the ODMF. In this article we describe the ODMF and discuss the implemented matching strategies.
1436959
Towards Semantically Grounded Decision Rules Using ORM +
Recently, ontologies are proposed for many purposes to assist decision making, such as representing terminology and categorizing information. Current ontology-based decision support systems mainly contain semantically rich decision rules. In order to ground the semantics, we formalize those rules by committing them to domain ontologies. Those semantically grounded decision rules can represent the semantics precisely, thus improve the functionalities of many available rule engines. We model and visualize the rules by means of a novel extension of ORM. These rules are further stored in an XML-based markup language, ORM+ ML, which is a hybrid language of Rule-ML and ORM-ML. We demonstrate in the field of on-line customer management.
17885523
On Constructing Semantic Decision Tables
Decision tables are a widely used knowledge management tool in the decision making process. Ambiguity and conceptual reasoning difficulties arise while designing large decision tables in a collaborative environment. We introduce the notion of Semantic Decision Table (SDT), which enhances a decision table with explicit decision semantics by annotating it properly with a domain ontology. In this paper, we focus on the SDT construction process. First, we map decision items to the ontology by building a rooted tree of decision binary facts and visualize it in a scalable manner. Formal ontological roles are used during this mapping process. Then, we commit the decision rules to the mapping results with a high level pseudo-natural language to ground their semantic. We illustrate with an SDT example from the domain of human resource management.
33017168
An ontology engineering methodology for DOGMA
Although ontologies occupy a central place in the Semantic Web and related research domains, there are currently not many fully fledged ontology engineering methodologies available. In this paper, we want to present an integrated methodology for ontology engineering from scratch, inspired by various scientific disciplines, in particular database semantics and natural language processing.
32294667
Use Semantic Decision Tables to Improve Meaning Evolution Support Systems
Meaning Evolution Support Systems have been recently introduced as a real-time, scalable, community-basedcooperative systems to support the ontology evolution. In this paper, we intend to address the problems of accuracyand effectivenessin Meaning Evolution Support Systems in general. We use Semantic Decision Tables to tackle these problems. A Semantic Decision Table separates general decision rules from the processes, bootstraps policies and template dependencies in the whole system. Recently, DOGMA-MESS (" D eveloping O ntology G rounded M ethodology and A pplications" framework based " M eaning E volution S upport S ystems") is developed at VUB STARLab as a collection of meaning evolution support systems. We embed Semantic Decision Tables in DOGMA-MESS to illustrate our approach. Semantic Decision Tables play the roles in both top-downand bottom-upprocesses of the meaning evolution cycle. The decision rules that consist of templates dependency rules are mainly responsible for the top-down process execution. The bottom-up process execution relies on the ones that contain the concept lifting algorithms.
9189850
The Parameter Optimization of Human-Simulated Intelligent Controller Based on Improved Genetic Algorithm
The human-simulated intelligent controller, using a hierarchical and multi-mode control structure, effectively solves the control difficult problems of many complex systems. But there are many parameters to be determined. In order to solve them, the paper introduces an improved genetic algorithm (IGA) which is combined with orthogonal design method. It is served as the simulation experiment platform by the cart-double pendulum. Through selected the reasonable fitness function and determined the appropriate parameters range, using the IGA, the parameters of the human-simulated intelligent controller are optimized. The simulation results show the IGA is better than the manual adjustment method. So it is proved that the IGA is more effective in solving the parameter optimization of human-simulated intelligent controller, and also promotes the more extended application space of intelligent control theory.
14763261
Zero-Efficient Buffer Design for Reliable Network-on-Chip in Tiled Chip-Multi-Processor
Network-on-chip (NoC) is a promising solution for efficient interconnection between processor cores in chip-multi-processor (CMP). This paper is focusing on the energy-efficient design of buffers, a group of the most important components in NoC. From our investigation, an overwhelming majority of "zero" is contained in the packets transmitting in NoC for CMP. A zero-efficient buffer design is proposed as well as the error control scheme. Compared with conventional design, up to 43% energy consumption can be saved. We use a 90 nm CMOS process in our simulation.
29100810
An Expert System Based Approach to Modeling and Selecting Requirement Engineering Techniques
The importance of requirements engineering (RE) has been raised numerous times in literatures. To choose suitable RE techniques for a particular project in a given situation is a challenging task, requiring substantial expertise and efforts. To help solving this problem, an expert system based approach is proposed. This expert system uses the knowledge from domain experts to model the causal factors of RE techniques. It can select suitable RE techniques for a software project. A web-based questionnaire is created in the first place to collect the expertise available in the community. The information collected by the questionnaire is analyzed and transformed into a new dataset for constructing a Bayesian Belief Network (BBN). The resulting BBN integrated with a GUI forms an expert system for RE techniques modeling and selection. Empirical study validates the transformed dataset and shows that the expert system outperforms other predictors in selecting suitable RE techniques in different RE phases.
1301888
Auction-Based Resource Reservation Game in Small World
For read-only storages and in particular for PLA applications, improved coupling elements together with an associated personalization scheme permit the storing of at least two memory (or logic) connection patterns selectable independently of each other. Quick electrical switching between at least two functional modes in the same storage array, is also provided. One device field effect transistor (FET) cells with specific gate configurations depending on the respective personalization state are used as coupling elements. For instance, in a two-fold personalization permanent storage, the coupling elements consist of FETs with two gate sections provided one beside the other. For a connection to be established in only one of the two possible functions at the respective crosspoint, one of the gate sections is connected to the control line provided for the functional selection. The remaining gate section is connected to the associated input line. A connection in the other functional mode is provided correspondingly with only the control lines being switched. If at the respective crosspoint a connection is to be effective in both functional modes, both gate sections are jointly connected to the respective input line. By using only one common peripheral circuit, PLAs with multiple personalization properties can be made in integrated technology, with the same semiconductor area requirement as PLAs personalizable into only one functional mode.
16610906
EIRS: An Intelligent E-Commerce Application System for Small Retailers in China
E-commerce is a fast growing channel for new business in China. However, Chinese small retailers have many difficulties in e-commerce applications nowadays, such as lack of IT skills, expensive of operation cost, etc. In this paper we present an intelligent retail system named eIRS which can help small retailers to implement their e-commerce strategies. eIRS whose single terminal entity looks like a telephone is an e-commerce platform linking product producers and retailers. It can reduce the redundant courses between product producers and retailers and also can act as an efficient medium, providing service similar to ICP for both of them. The test results of eIRS indicate that it creates a new win-win e-commerce model for producers and small retailers in China. We also analyze the Development Obstacles and Challenges of eIRS finally.