Semantic model for knowledge representation in e-business models pdf

Meaning making from data structures in the sql server. We discuss a more rigorous, conceptual modelling approach called e3valuetm for representing ebusiness models. Semantic web architecture defines an environment where software agents carry out sophisticated tasks for users by employing semantic documents. The purpose of this research article is explore the possible application of methodologies for ontologies in the process related to the agricultural environment and the information collected from the crop growth variables. Uses of rules in ebusiness rules as an important aspect of coming world of internet ebusiness. Semantic network or semantic net was proposed by quillian in 1967 in order to represent the knowledge in a form of graph. An improved semantic webbased search model for ecommerce.

This paper presents an ontology approach, which can help service providers add semantics to their service management process models and detect semantic ambiguities, uncertainties and contradictions. Jan 08, 2012 read on semantic annotation of decision models, information systems and e business management on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Jun 07, 2008 a new report from norway compares topic maps, rdfowl, uml and others. In computer science and information science, an ontology encompasses a representation, formal naming and definition of the categories, properties and relations between the concepts, data and entities that substantiate one, many or all domains of discourse. Through experiments using the popular 20newsgroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering. Standard model of knowledge representation springerlink. Value creation from ebusiness models, chapter ebusiness value modelling using the e3value ontology. Ebpms thatallow to model business models, business processes, it processes and so on. Connectionist models of semantic memory connectionist models were among the. Slideset 1 of semantic web rules with ontologies, and their.

To implement e business and gain competitive advantage, the firm must be able to integrate both internal. The t project 9 focussed on the senorasaservice paradigm 44 and proposed a semantic iot service description model for knowledge representation 67. First, the way to describe virtual vge models using accurate spatial decomposition. Aci acris semantic model for service oriented architecture. Our system exploits two different approaches for knowledge representation and reasoning. Supporting semantic verification of process models. Organisational ontology framework for semantic business process management 5 as we decided to follow the omg definition of organisational units, all units are divided into temporary and permanent ones. The question that arises is how can we model reality to describe how.

A general knowledge representation model of concepts. The semantic e business vision is founded upon foundations in semantic web technologies, knowledge. E business knowledge can be created and shared implementing new organizational design and ict infrastructures warkentin et al. Include standards for knowledge representation, one core ontology. The use of ontologies for effective knowledge modelling. Connectionist theories state that knowledge can be described as a number of.

On semantic annotation of decision models, information. A case for the ontological expression of ebusiness standards prepared for eidx quarterly meeting semantic harmonization session menlo park, ca december 1, 2004 prepared by kurt conrad brian bo newman bob smith, ph. Applying an ontology approach to it service management for. Semantic network is a technique of knowledge representation that is used for propositional information, and sometimes called a propositional net.

Obviously, among others, conceptual models of the domain, of the users and of the. We will be find out the semantic content of the video. This trained model serves both as our benchmark for performance comparisons, as well as the initialization for our joint model. Jun 25, 2015 aci acris semantic model for services oriented architecture v1. In order to adequately represent the social dimension of distributed knowledge generation and usage, a module concept is desirable which supports encapsulation of statements and the possibility to refer to such modules. Adaptive study design through semantic association rule.

In a knowledge based system, a semantic user model serves as an important input for personalizing humancomputer interactions and interfaces. One of the best possible ways to achieve this is by building ontological knowledge base for big data. Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which. An extension of process modeling languages is designed which allows representing the semantics of model element labels which are formulated in natural language by using concepts of a formal ontology. A knowledge management and decision support model for enterprises. Design of semantic information systems using a model. Representation and analysis of enterprise models with semantic techniques. Knowledge representation, semantic web, e business, skos. The design aims to balance the tradeoff between being lightweight and completeness in addition to focussing on modularity. Data integration is the problem of combining data residing in different sources, and providing the user with a uni. This paper focuses on the strategic uncertainties, where a large number of actors are trying a number of strategic approaches to position.

Knowledge representation is the core of artificial intelligence research. Pdf the article emphasizes the theoretical principles of knowledge representation. Ebusiness, semantic web, semantic technology, business models, web introduction over time, the demands of society have led to technological developments, which have helped create a more accessible and usa. Modern connectionism is a framework used to model mental and behavioral phenomena as an emergent. Knowledge representation for the distributed, social. More simply, an ontology is a way of showing the properties of a subject area and how they are related, by defining a set of. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. Hence, ontologies can be used to discover information from big data. Dl model of business activity performance criteria monitored by node agents. These are the e business concept, value proposition. Mar 19, 2016 enterprise models assist the governance and transformation of organizations through the specification, communication and analysis of strategy, goals, processes, information, along with the underlying application and technological infrastructure. Such models crosscut different concerns and are often conceptualized using domainspecific modelling languages.

It compiles research from experts around the globe to bring to the forefront the many issues surrounding the applic3tion of semantic web technologies in ebusiness provided by publisher. Semantic annotation has the first goal of checking the alignment of a digital. Pdf in this paper, we present the current state of the art in semantic data modeling of multimedia data. Request pdf semantic model for knowledge representation in ebusiness semantic knowledge representation is the key for the development of present intelligent systems. Knowledge representation archtecture for context interchange. Design of semantic information systems using a modelbased. Mobile business is a young promising industry created by the emergence of wireless data networks similar to other emerging industries, it is characterized by a large number of uncertainties at different levels concerning technology, demand and strategy. Moreover, mechanisms for the specification of business model and service ontologies have been. The first step is the development of a model for ontologybased representation of process models. No, the title does not refer to no as in no, nyet, nein, non or ne, but no as in norway norstella, the norwegian foundation for ebusiness and trade procedures, has published a 51pp pdf report edited by oyvind aassve, called the sim report. This chapter presents an ontologydriven approach that aims at supporting semantic verification of semiformal process models.

This combination of semiformal models with formal ontologies will be characterized as semantic process modeling. It allows the semantic representation of the process in order to share this knowledge between organizations and the reusing of the existing elements described by means of the ontology. This paper shows the development semantic representation models of sensor data for monitoring agricultural crops. Processing, knowledge representation and reasoning. The open mamd 590 model can be extended, in which segments or collections of domains can be implemented using policy management technologies expressed in bradshaw et al. Ontologies are used to organize the knowledge representation and to capture objects information in a. The implementation of e business models can play a key role in todays complex and turbulent environment.

Read on semantic annotation of decision models, information systems and ebusiness management on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. What is the semantic web knowledge representation in xml. Semantic process modeling design and implementation of. To implement ebusiness and gain competitive advantage, the firm must be able to integrate both internal. Semantic user model inferences for travel recommender systems. E bpms thatallow to model business models, business processes, it processes and so on.

Rdf models use traditional knowledge representation techniques order to provide better semantic interoperability traditionally, oav triplets are natural semantic units for representing a domain. Knowledge representation and semantic web technologies. A semantic text model with wikipediabased concept space. Jonker, an overview of data models and query languages for contentbased video retrieval, in proc. Formal modelling, knowledge representation and reasoning for design and development introduced by adaptive and pervasive systems makes it necessary to use more elaborate and systematic development approaches capable of development and management of longlived intelligent systems. Towards a collaborative and semantic framework for. In other words, fom gives semantic to hla simulation. This paper focuses on the strategic uncertainties, where a large number of actors are trying a number of strategic. Strategies for incorporating data exchange standards in ebusiness taxonomies journal of information technology management volume xvi, number 4, 2005 29 plementation of knowledge management techniques. Semantic annotation an overview sciencedirect topics. Ebusiness knowledge can be created and shared implementing new organizational design and ict infrastructures warkentin et al.

Semantic user model inferences for travel recommender. Semantic network and frame knowledge representation. A case for the ontological expression of ebusiness standards. President, the sagebrush group founder, kmforum professor emeritus, csu. Formal modelling, knowledge representation and reasoning for design and development of usercentric pervasive. The ontologydriven approach suggested consists of two steps. Central features of the semantic e business vision include ontology, knowledge representation, and agents used in business applications 7. The corner stone of this level is an agreement on the semantics of concepts in a domain through taxonomies. Semantic representation models of sensor data for monitoring.

Representation and analysis of enterprise models with semantic. Business models have been an important topic in various disciplines and particularly ebusiness. In a knowledgebased system, a semantic user model serves as an important input for personalizing humancomputer interactions and interfaces. A general knowledge representation model of concepts 45 behavioural responses to different stimulus, for this reason behaviourist theories cannot explain thought chomsky, 1967 or knowledge in the desired depth, an d will not be studied here. Semantic user models play a kernel role for recommender and web personalization systems. Slideset 1 of semantic web rules with ontologies, and. A semantic network represents knowledge as a directed graph, where vertices represent. Pdf business model analysis applied to mobile business. Consequently, a document collection is represented as a 3order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Aci acris semantic model for service oriented architecture v1.

Measuring similarity between semantic business process models marc ehrig agnes koschmider andreas oberweis institute of applied informatics and formal description methods universitat karlsruhe th, 76187 karlsruhe, germany email. Web, will enable revolutionary applications and business models. The meta models are linked to each other in order to model dependencies e. Numerous knowledge representation models for more specific areas are also proposed recently to tailor and model interesting aspects of knowledge chen et al. The e business model, like any business model, describes how a company functions. Yet, little research has tempted to compare and integrate the different business model approaches. The semantic ebusiness vision is founded upon foundations in semantic web technologies, knowledge. The design begins with a high level model and iteratively transforms the model to more concrete models through introduction of more platform specific information at every stage assmann et al. Martin hepp at the ebusiness and web science research group of. Aci acris semantic model for services oriented architecture v1. Martin hepp at the e business and web science research group of the.

The semantic representation implies the definition of each concept of the model and its relationships with each other by means of an ontology. Furthermore, we provide an expert system capable of supporting the enterprise decisional. A knowledge management and decision support model for. Temporary units are entities, that are created in order to carry out a task, project etc. Towards a collaborative and semantic framework for knowledge sharing, expert systems with applications on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Semantic model for knowledge representation in ebusiness. We exploited this property to adapt the standard and propose pre. To this end, an ontology definition metamodel has been developed in dbe as a generic knowledge representation model and is presented in this document. The approach is exemplarily applied to the languages epc eventdriven process. Comparing semantic technologies strengths and weaknesses david norheim norwegian semantic days 2008 computas as. Adaptive study design through semantic association rule analysis. The proposed ontology draws its knowledge from good practice guidance for itsm, enabling the current business gap that exists in many it service. Pdf semantic modeling and knowledge representation in. A new report from norway compares topic maps, rdfowl, uml and others.

It has four traditional components as shown in the figure, the e business model. Rules using semantic knowledge representation kr semantics are required for effective sharing of knowledge and tools web as scope for rulebased structured knowledge enrich the web as a knowledge platform public and intranets collaborative knowledge acquisition ka. Semantic annotation language and tool for information and. Its main purpose is to create, represent and model knowledge domains, most of which are not trivial, such as bioinformatics and ebusiness, among others. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. This paper compares two business model ontologies, the business model ontology bmo and the e3value ontology, for the design of business models and value constellations. In knowledge representation the semantic networks are two dimensional. Organisational ontology framework for semantic business. We propose a novel knowledge management system kms for enterprises. Our work is based on the semantic proposition that interchange of information can be mediated if sources and receivers share a common subject domain or interlocking subject domains. Pdf knowledge representation in the context of ebusiness. Particularly, travel recommender systems have direction relationships with the spatial dimension. Measuring similarity between semantic business process. Besides, in hla standard there are no guidelines to define fom so develop it requires a significant amount of time, effort and manual labor.