scholarly journals Contrasting Ontology Modeling with Correlation Rules for Delivery Applications

2021 ◽  
Vol 102 ◽  
pp. 02002
Author(s):  
Dana Baro ◽  
Laura Neundörfer
Keyword(s):  
Knowledge Management ◽  
Knowledge Representation ◽  
Technical Communication ◽  
Specific Information ◽  
Semantic Metadata ◽  
Semantic Correlation ◽  
Ontology Modeling ◽  
Added Benefit ◽  
Correlation Rules ◽  
Information Objects

With the increasing importance of knowledge management, variant management and the ever-growing quantity of data, ontologies emerged as a form of knowledge representation, especially in the field of technical communication for modelling metadata and to create correlations between them. In the area of delivery applications, the deliverable information objects receive a certain intelligence by semantic metadata. It is expected, that ontologies offer a higher level of intelligence which could lead to an improvement in classification, connection and delivery possibilities of content. On the contrary, creating those complex ontologies requires a time-consuming effort. Thus, the question arises, whether their use offers a decisive added benefit or if alternatives, such as untyped correlations, should be preferred. In that case, the concept of Semantic Correlation Rules can offer an opportunity to derive advantages from ontologies: By defining which classifications are connected to others, it is possible to present content tailored to user-specific information requirements. By developing use cases, we aim to evaluate the required level of intelligence of the metadata resulting from its modeling method to achieve this goal.

scholarly journals Ontology Modelling and Standardized Information Exchange with Content Delivery Applications in Technical Communication

2021 ◽  
Vol 102 ◽  
pp. 02005
Author(s):  
Daniel Nägele ◽  
Patricia Vobl
Keyword(s):  
Information Exchange ◽  
Technical Communication ◽  
Content Delivery ◽  
Content Management ◽  
Semantic Correlation ◽  
Semantic Modelling ◽  
Component Content ◽  
Correlation Rules ◽  
Intelligent Information ◽  
General Ontology

Ontologies are a technology recently used in technical communication (TC) to model information into a multidimensional net. They expand the modelling by taxonomy of metadata in TC. Any kind of relation between multiple classes and instances can be established. These ontologies can appear in the form of semantic correlation rules (SCR), which represent the connection between the metadata of the objects. SCR are used in connection with component content management systems (CCMS), semantic modelling systems (SMS) and content delivery portals (CDP) to deliver the appropriate amount of content in a more precise manner to the end user. In general, Ontology tools, CCMS and CDP are not based on the same ecosystem and therefore, they do not always work together effortlessly. A solution to this problem are exchange formats like the intelligent information Request and Delivery Standard (iiRDS), which enable a standardized information exchange between supported systems. Another solution would be compound information systems (CIS) like ONTOLIS, which combine a CCMS, CDP and SMS all in one. This paper aims to investigate the effect of SCR in the CDP of a CIS like ONTOLIS and to evaluate the use of exchange formats like iiRDS.

Ontology Modeling of Aircraft Fault Knowledge

2012 ◽  
Vol 236-237 ◽  
pp. 350-355 ◽  
Author(s):  
Yang Zhou ◽  
Zhao Yang Zeng ◽  
Bin Tian ◽  
Zhi Yu Jia ◽  
Xiao Guo
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Knowledge Representation ◽  
Construction Method ◽  
Knowledge Sources ◽  
Ontology Construction ◽  
Product Domain ◽  
Aviation Maintenance ◽  
Ontology Modeling ◽  
Representation Method

With consideration of the actual requirement of fault knowledge management in current aviation maintenance, ontology-based knowledge representation method of aircraft fault is studied. Knowledge sources of aircraft fault ontology are analyzed based on ontology modeling primitives. Ontology construction method of aircraft fault knowledge is proposed learning from software engineering and the essence of the existing ontology construction methodology. On the basis of the above study, aircraft fault ontology which is consist of Fault Core sub-ontology, Product domain sub-ontology, Case domain sub-ontology, and Diagnosis domain sub-ontology is build, and it represents aircraft fault knowledge completely and consistently, and also lays the foundation for knowledge management of aircraft fault.

Emergent Ontologies by Collaborative Tagging for Knowledge Management

2013 ◽  
pp. 54-69 ◽  
Author(s):  
Weena Jimenez ◽  
César Luis Alvargonzález ◽  
Pablo Abella Vallina ◽  
Jose María Álvarez Gutiérrez ◽  
Patricia Ordóñez de Pablos ◽  
...  
Keyword(s):  
Social Networks ◽  
Knowledge Management ◽  
Data Management ◽  
Dynamic Environment ◽  
Information Resources ◽  
The Other ◽  
Specific Domain ◽  
Ontology Modeling ◽  
Web Information ◽  
Use Of Internet

The massive use of Internet and social networks leads us to a new dynamic environment with huge amounts of unstructured and unclassified information resources in continuous evolution. New classification, compilation, and recommendation systems based on the use of folksonomies and ontologies have appeared to deal with the requirements of data management in this environment. Nevertheless, using ontologies alone has some weaknesses due to the need of being statically modeled by a set of experts in a specific domain. On the other hand, folksonomies show a lack of formality because of their implicit ambiguity and flexibility by definition. The main objective of this chapter is to outline and evaluate a new way to exploit Web information resources and tags for bridging the gap between ontology modeling and folksonomies.

Multilingual Crisis Knowledge Representation

2011 ◽  
pp. 85-95
Author(s):  
Aviv Segev
Keyword(s):  
Knowledge Representation ◽  
Emergency Management ◽  
Real Time ◽  
Rapid Response ◽  
Ontology Modeling ◽  
Management Factors ◽  
Relief Efforts ◽  
Time Limitations ◽  
Communication Methods ◽  
Crisis Situations

In a crisis, the problem of the lack of a shared platform or similar communication methods among the collaborators usually arises within a few hours. While a crisis requires rapid response of emergency management factors, ontology is generally represented in a static manner. Therefore, an adaptive ontology for crisis knowledge representation is needed to assist in coordinating relief efforts in different crisis situations. This chapter describes a method of ontology modeling that modifies the ontology in real time during a crisis according to the crisis surroundings. The method is based on modeling a basic predefined multilingual ontology while allowing the expansion of the ontology according to the crisis circumstances and the addition of other languages within the crisis time limitations. An example of ontology use based on a sample Katrina crisis blog is presented. Motivation for multilingual ontology use is supplied by the Boxing Day tsunami crisis.

Ontology

2011 ◽  
pp. 1221-1236
Author(s):  
William Buchholz
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Knowledge Representation ◽  
Human Resource ◽  
Global Economy ◽  
Lessons Learned ◽  
Distributed Knowledge ◽  
Document Collections ◽  
Knowledge Community ◽  
Standards And Regulations

An ontology comprises the explicitly articulated and shared concepts of a knowledge community or domain. These concepts are arranged formally in a taxonomy and are governed by specifically defined rules and axioms. Ontologies often play an important role in knowledge management information technology (KMIT). An enterprise knowledge management IT system, for example, may use an ontology “to facilitate communication, search, storage, and [knowledge] representation” (O’Leary, 1998, p. 58). A general survey of the literature suggests that ontologies are capable of improving performance in a large variety of knowledge management IT functions, especially relative to knowledgebases for best practices, lessons learned, human resource skills, Help Desks, FAQs, document collections, standards and regulations, products, services, proposals, and the like. In addition, as we look to the future, ontologies will function centrally in agent-mediated knowledge management (AMKM), distributed knowledge management (DKM), and the Semantic Web (Daconta, Obrst, & Smith, 2003; Fensel, 2001; Heflin, Volz, & Dale, 2002; McGuiness, 2002), as these technologies become pervasive in a global economy that distributes KM knowledgebases across companies and cultures.

E-Tagging in Context

2010 ◽  
pp. 158-169 ◽  
Author(s):  
Heather D. Pfeiffer ◽  
Emma L. Tonkin
Keyword(s):  
Knowledge Management ◽  
Knowledge Representation ◽  
Representation Theory ◽  
Multidisciplinary Approach ◽  
Community Networks ◽  
Social Tagging ◽  
Open Domain ◽  
Individual Object ◽  
Socially Constructed ◽  
The Individual

This chapter examines social tagging as annotation; first from the perspective of classification research; and second from the perspective of knowledge representation and knowledge management. Using the context meta-model of the annotation, the authors demonstrate that the model is adequately represented in existing knowledge representation theory; specifically, from the perspective of socially constructed meaning in community networks. Furthermore, the set of tagging representations (that is, triadic networks of the individual, object, and annotation) are explored throughout the knowledge representation domain. In contrast to many commentators, the authors of this chapter conclude that social tagging may effectively be explored via a multidisciplinary approach linking knowledge representation and classifi- cation research and creating an open domain network.

scholarly journals An Efficient Correlation-Based Cache Retrieval Scheme at the Edge for Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6846
Author(s):  
Ngoc-Thanh Dinh ◽  
Young-Han Kim
Keyword(s):  
Internet Of Things ◽  
Semantic Information ◽  
Data Caching ◽  
Semantic Correlation ◽  
Iot Applications ◽  
Information Object ◽  
Retrieval Scheme ◽  
Iot Devices ◽  
Approximate Answer ◽  
Information Objects

Existing caching mechanisms considers content objects individually without considering the semantic correlation among content objects. We argue that this approach can be inefficient in Internet of Things due to the highly redundant nature of IoT device deployments and the data accuracy tolerance of IoT applications. In many IoT applications, an approximate answer is acceptable. Therefore, a cache of an information object having a high semantic correlation with the requested information object can be used instead of a cache of the exact requested information object. In this case, caching both of the information objects can be inefficient and redundant. This paper proposes a caching retrieval scheme which considers the semantic information correlation of information objects of nodes for cache retrieval. We illustrate the benefits of considering the semantic information correlation in caching by studying IoT data caching at the edge. Our experiments and analysis show that semantic correlated caching can significantly improve the efficiency, cache hit, and reduce the resource consumption of IoT devices.

The Business Values of Patient Knowledge Management (PKM) in the Healthcare Industry

2013 ◽  
Vol 8 (2) ◽  
pp. 70-79 ◽  
Author(s):  
Mohammad Soltani Delgosha ◽  
Ali Amoei Ojaki ◽  
Hamidreza Farhadi
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Specific Information ◽  
Patient Knowledge ◽  
Patient Centered ◽  
Patient Decision Making ◽  
Business Values ◽  
Centered Care

Today, healthcare has become a progressive industry with novel techniques, approaches and findings in this field quickly being evaluated and improved. One of these approaches is patient-centered care (PCC), which is defined essentially as an approach that respects and responds to individual patient’s preferences, needs and values. As such, PCC concept focuses not only on the disease, but also on leveraging specific information of a patient. PCC approach is therefore going to enlarge the role of patients and families in the process of clinical decision making. Still, the authors are observing the lack of innovation in this particular domain. In this paper, the authors develop the concept of patient knowledge management (PKM) based on customer knowledge management and PCC approaches. PKM creates many values such as decreasing opportunity costs and treatment costs, aiding patient decision making to be efficient and effective, as well as creating new knowledge and developing new treatment methods.

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