Context-Sensitive Ontology Matching in Electronic Business

2011 ◽  
pp. 279-301
Author(s):  
Jingshan Huang ◽  
Jiangbo Dang
Keyword(s):  
Global Economy ◽  
Clustering Algorithm ◽  
Service Providers ◽  
Contextual Information ◽  
Ontology Matching ◽  
Electronic Business ◽  
Agglomerative Clustering ◽  
Distributed Agents ◽  
Context Sensitive ◽  
Business Partners

In today’s global economy, electronic business has offered great advantages to enhance the capabilities of traditional businesses. In order to satisfy the imposed requirement for businesses to coordinate with each other, electronic business partners are chosen to be represented by service agents. These agents need to understand each others’ service descriptions before successful coordination happens. Ontologies developed by service providers to describe their service can render help in this regard. Unfortunately, due to the heterogeneity implicit in independently designed ontologies, distributed agents are bound to face semantic mismatches and/or misunderstandings. This chapter introduces an innovative algorithm, Context-Sensitive Matching, to reconcile heterogeneous ontologies. This algorithm takes into consideration contextual information, via inference through a formal, robust statistical model based on confidence interval. In addition, an Artificial Neural Network is utilized to learning weights for different semantic aspects. At last, an agglomerative clustering algorithm is adopted to generate the final matching results.

Ontology-Based Partner Selection in Business Interaction

2011 ◽  
pp. 364-380
Author(s):  
Jingshan Huang ◽  
Jiangbo Dang ◽  
Michael N. Huhns
Keyword(s):  
Global Economy ◽  
Service Providers ◽  
Partner Selection ◽  
Vector System ◽  
Ontology Merging ◽  
Business Partners ◽  
Merging Algorithm

Traditional businesses are finding great advantages from the incorporation of e-business capabilities, especially for participation in the global economy, which is inherently open and dynamic. This imposes a requirement that businesses must coordinate with each other if they are to be most efficient and successful. To aid in this coordination and achieve seamless and autonomic interoperation, e-business partners are chosen to be represented by service agents. However, before agents are able to coordinate well with each other, they need to understand each others’ service descriptions. Ontologies developed by service providers to describe their service can render help. Unfortunately, due to the heterogeneity implicit in independently designed ontologies, distributed e-businesses will encounter semantic mismatches and misunderstandings. We introduce a compatibility vector system, created upon a schema-based ontology-merging algorithm, to determine and maintain ontology compatibility, which can be used as a basis for businesses to select candidate partners with which to interoperate.

Operational Aspects of National Securities Depository Limited (NSDL) in Depository System

2018 ◽  
Vol 6 (8) ◽  
pp. 249
Author(s):  
Rajnikant Kumar
Keyword(s):  
Capital Markets ◽  
Service Providers ◽  
State Of The Art ◽  
Stock Exchanges ◽  
Saving Account ◽  
Business Partners ◽  
Paper Work ◽  
Set Up ◽  
Buy Back ◽  
Operational Aspects

NSDL was registered by the SEBI on June 7, 1996 as India’s first depository to facilitate trading and settlement of securities in the dematerialized form. NSDL has been set up to cater to the demanding needs of the Indian capital markets. NSDL commenced operations on November 08, 1996. NSDL has been promoted by a number of companies, the prominent of them being IDBI, UTI, NSE, SBI, HDFC Bank Ltd., etc. The initial paid up capital of NSDL was Rs. 105 crore which was reduced to Rs. 80 crore. During 2000-2001 through buy-back programme by buying back 2.5 crore shares @ 12 Rs./share. It was done to bring the size of its capital in better alignment with its financial operations and to provide same return to shareholders by gainfully deploying the excess cash available with NSDL. NSDL carries out its activities through service providers such as depository participants (DPs), issuing companies and their registrars and share transfer agents and clearing corporations/ clearing houses of stock exchanges. These entities are NSDL's business partners and are integrated in to the NSDL depository system to provide various services to investors and clearing members. The investor can get depository services through NSDL's depository participants. An investor needs to open a depository account with a depository participant to avail of depository facilities. Depository system essentially aims at eliminating the voluminous and cumbersome paper work involved in the scrip-based system and offers scope for ‘paperless’ trading through state-of-the-art technology. A depository can be compared to a bank. A depository holds securities of investors in the form of electronic accounts, in the same way as bank holds money in a saving account. Besides, holding securities, a depository also provides services related to transactions in securities.

Logistics management in China: A case study of Haier

2004 ◽  
Vol 23 (1) ◽  
pp. 15-27
Author(s):  
Jason C.H. Chen ◽  
Binshan Lin ◽  
Lingli Li ◽  
Patty S. Chen
Keyword(s):  
Communication Networks ◽  
Global Economy ◽  
Collaborative Advantage ◽  
Logistics Systems ◽  
Business Partners ◽  
Business Operations ◽  
Global Brand ◽  
The Many ◽  
Foreign Competitors

Chinese businesses began with a weak foundation in the intense world trade environment, similar to the many other companies that grew from developing countries. How were these Chinese businesses able to compete with foreign competitors armed with strong capital structures and efficient communication networks? Haier is an excellent example of how Chinese companies have successfully adapted to and prospered in the global economy, using information technology as a strategic weapon to improve its competitive advantage and further to create collaborative advantage. Haier's growth is miraculous: in less than two decades, it grew from a state-owned refrigerator factory into an innovative international giant. The company has become China's first global brand and the fifth largest appliance seller in the world. What are the secrets of Haier's success? Many researchers have conducted extensive studies on Haier's management and found the key is Management Information Systems such as e-Commerce and logistics systems that improve business operations between its suppliers, customers, and business partners. This article recounts the journey of Haier's achievements to excellence through its MIS, and provides analyses of the company's business model, the market chain management model.

A service-oriented context-awareness reasoning framework and its implementation

2018 ◽  
Vol 36 (6) ◽  
pp. 1114-1134 ◽  
Author(s):  
Xiufeng Cheng ◽  
Jinqing Yang ◽  
Lixin Xia
Keyword(s):  
Context Awareness ◽  
Service Providers ◽  
User Behavior ◽  
Contextual Information ◽  
Sensor Data ◽  
Context Information ◽  
Content Type ◽  
Low Level ◽  
Service Oriented ◽  
High Level

PurposeThis paper aims to propose an extensible, service-oriented framework for context-aware data acquisition, description, interpretation and reasoning, which facilitates the development of mobile applications that provide a context-awareness service.Design/methodology/approachFirst, the authors propose the context data reasoning framework (CDRFM) for generating service-oriented contextual information. Then they used this framework to composite mobile sensor data into low-level contextual information. Finally, the authors exploited some high-level contextual information that can be inferred from the formatted low-level contextual information using particular inference rules.FindingsThe authors take “user behavior patterns” as an exemplary context information generation schema in their experimental study. The results reveal that the optimization of service can be guided by the implicit, high-level context information inside user behavior logs. They also prove the validity of the authors’ framework.Research limitations/implicationsFurther research will add more variety of sensor data. Furthermore, to validate the effectiveness of our framework, more reasoning rules need to be performed. Therefore, the authors may implement more algorithms in the framework to acquire more comprehensive context information.Practical implicationsCDRFM expands the context-awareness framework of previous research and unifies the procedures of acquiring, describing, modeling, reasoning and discovering implicit context information for mobile service providers.Social implicationsSupport the service-oriented context-awareness function in application design and related development in commercial mobile software industry.Originality/valueExtant researches on context awareness rarely considered the generation contextual information for service providers. The CDRFM can be used to generate valuable contextual information by implementing more reasoning rules.

scholarly journals Coastal Change Patterns from Time Series Clustering of Permanent Laser Scan Data

2020 ◽  
Author(s):  
Mieke Kuschnerus ◽  
Roderik Lindenbergh ◽  
Sander Vos
Keyword(s):  
Time Series ◽  
Laser Scanning ◽  
Clustering Algorithm ◽  
Coastal Areas ◽  
Small Scale ◽  
Temporal Data ◽  
Agglomerative Clustering ◽  
Data Set ◽  
Deformation Processes ◽  
Spatio Temporal

Abstract. Sandy coasts are constantly changing environments governed by complex interacting processes. Permanent laser scanning is a promising technique to monitor such coastal areas and support analysis of geomorphological deformation processes. This novel technique delivers 3D representations of a part of the coast at hourly temporal and centimetre spatial resolution and allows to observe small scale changes in elevation over extended periods of time. These observations have the potential to improve understanding and modelling of coastal deformation processes. However, to be of use to coastal researchers and coastal management, an efficient way to find and extract deformation processes from the large spatio-temporal data set is needed. In order to allow data mining in an automated way, we extract time series in elevation or range and use unsupervised learning algorithms to derive a partitioning of the observed area according to change patterns. We compare three well known clustering algorithms, k-means, agglomerative clustering and DBSCAN, and identify areas that undergo similar evolution during one month. We test if they fulfil our criteria for a suitable clustering algorithm on our exemplary data set. The three clustering methods are applied to time series of 30 epochs (during one month) extracted from a data set of daily scans covering a part of the coast at Kijkduin, the Netherlands. A small section of the beach, where a pile of sand was accumulated by a bulldozer is used to evaluate the performance of the algorithms against a ground truth. The k-means algorithm and agglomerative clustering deliver similar clusters, and both allow to identify a fixed number of dominant deformation processes in sandy coastal areas, such as sand accumulation by a bulldozer or erosion in the intertidal area. The DBSCAN algorithm finds clusters for only about 44 % of the area and turns out to be more suitable for the detection of outliers, caused for example by temporary objects on the beach. Our study provides a methodology to efficiently mine a spatio-temporal data set for predominant deformation patterns with the associated regions, where they occur.

Service Quality Dimensions and Customers' Satisfactions in Mobile Communications

2016 ◽  
Vol 4 (1) ◽  
pp. 38-45
Author(s):  
S. Sakthivel Rani ◽  
S. Kannan
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Mobile Communications ◽  
Global Economy ◽  
Service Providers ◽  
Relative Effect ◽  
Primary Data ◽  
Mobile Service ◽  
The World ◽  
Switching Barriers

Objective - The world is moving towards continuous and ubiquitous availability of information. Entry of private operators in 1990's, competition has caused prices to drop and calls across India are one of the cheapest in the world. Technological advances combined with forces of globalization resulted in the transformation of the economy, industries, markets and customers resulting in a connected knowledge economy, borderless global economy, globalizing, covering and consolidating industries, fragmenting and frictionless markets and active, connected, informed and demanding customers. The objective of this research is to ascertain the constructs like customer satisfaction towards the mobile phone service providers, switching barrier and the customer loyalty factors. Methodology/Technique - Respondents in the study are the customers who use mobile phones. Primary data were collected with the help of the specially designed questionnaire, which was administered to the mobile users. The final questionnaire was pre-tested on 40 respondents and the coefficient values are all above .8 thus meeting Nunnaly's recommendation of greater than 0.7 as the acceptable reliability level. The overall alpha value was 0.8 and the instrument consists of customer satisfaction regarding the mobile service providers, which includes factors like price (5 items, 0.816), network coverage (4 items, 0.795), customer service (5 items, 0.852) and usage (8 items, 0.884). Switching barriers factors consists of 28 items like credibility factors (8 items, 0.863), congruency factors (7 items, 0.816), switching cast (8 items, 0.871), and value (5 items, 0.900). Final part of the instrument includes 17 customer loyalty factors like trust (7 items, 0.858), commitment (4 items, 0.848), word of mouth (3 items, 0.779) and cooperation (3 items, 0.691). Findings - Gender, location of the customers and service providers has a significant association with level of customer satisfaction. Gender and occupation have a significant association with level of customer switching barriers. Hierarchical regression analysis was used to analyze the main effect and the adjustment effect of those switching barrier factors and the relative effect. The contribution is that this study reviews theoretically and verifies empirically the relationship and mechanism between the customer retention and the switching barrier. Type of Paper - Empirical Keywords: Customer satisfaction factors; switching barrier factors; Customer loyalty factors.

Proactive Routing Mechanism for Removing Far Sensor in Iot using A Design of B * Index

2021 ◽  
Vol 11 ◽  
Author(s):  
S. Geetha ◽  
P. Deepalakshmi
Keyword(s):  
Clustering Algorithm ◽  
Research Work ◽  
Energy Utilization ◽  
Energy Separation ◽  
Agglomerative Clustering ◽  
Sensitive Data ◽  
Dynamic Selection ◽  
Storage And Retrieval ◽  
Proactive Routing ◽  
Iot Devices

Background:: The concern with the IoT node is energy since nodes are depleted as their energy utilization is incrementally reduced with reduction in far off nodes. The nodes will consume energy when it senses the data, followed with the Computation, and further for transmission. Method:: We proposed the phases for Energy-saving at nodes by Enhanced Agglomerative Clustering, Dynamic Selection of Leader, disposal of faraway sensor, and B * tree cloud storage and retrieval. In a typical IoT system, the nodes are deployed in the environment initially. Nodes are clustered using Enhanced Agglomerative Clustering Algorithm. A far node elimination will be implemented for the nodes not in the cluster region. Results:: By eliminating the need for far-off sensors, we can reduce the energy used. This in turn can also improve the lifetime of sensors. When appropriate, sensitive data is moved from IoT devices and stored in the cloud. Conclusion:: This paper also proposes an approach to fetch the data from IoT by using the Query Predicate method. This research work proposes a unique choice of grouping by estimating the parameters as energy, separation, thickness and portability.

Semantic Synchronization in B2B Transactions

2010 ◽  
pp. 1518-1542
Author(s):  
Janina Fengel ◽  
Heiko Paulheim ◽  
Michael Rebstock
Keyword(s):  
Large Scale ◽  
Business Processes ◽  
User Participation ◽  
Ontology Matching ◽  
Ontological Engineering ◽  
Business Information Systems ◽  
Business Partners ◽  
Business Information ◽  
Mapping Technology

Despite the development of e-business standards, the integration of business processes and business information systems is still a non-trivial issue if business partners use different e-business standards for formatting and describing information to be processed. Since those standards can be understood as ontologies, ontological engineering technologies can be applied for processing, especially ontology matching for reconciling them. However, as e-business standards tend to be rather large-scale ontologies, scalability is a crucial requirement. To serve this demand, we present our ORBI Ontology Mediator. It is linked with our Malasco system for partition-based ontology matching with currently available matching systems, which so far do not scale well, if at all. In our case study we show how to provide dynamic semantic synchronization between business partners using different e-business standards without initial ramp-up effort, based on ontological mapping technology combined with interactive user participation.

Exploring Value Creation Through Application Programming Interfaces

2020 ◽  
pp. 295-316
Author(s):  
Joshua Ofoeda
Keyword(s):  
Value Creation ◽  
Global Economy ◽  
Service Providers ◽  
Digital Platforms ◽  
Value Network ◽  
Application Programming Interfaces ◽  
Competitive Prices ◽  
Application Programming ◽  
Programming Interfaces

Digital platforms continue to contribute to the global economy by enabling new forms of value creation. Whereas the Information Systems literature is dominated by digital platform research, less is said about Application Programming Interfaces (APIs), the engine behind digital platforms. More so, there is a dearth in the literature on how developing economy firms create value through API integration. To address these research gaps, the author conducted a case study on DigMob (Pseudonym), a digital firm that focuses on the sale of indigenous African music to understand how it created value through API integration. Based on Amit and Zott's value creation model, the findings suggest that DigMob's value creation occurs on a broader value network comprising suppliers (e.g., payment service providers) and customers. For instance, DigMob generated value through the API-enabled platform by ensuring that music lovers purchase their preferred songs at competitive prices. DigMob has also been able to increase their revenue and brand image. Similarly, musicians have been able to rake substantial amounts of money through the sales of their music on the platform.

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