THE ABILITY TO INTEGRATE DIFFERENT TYPES OF KNOWLEDGE AND ITS EFFECT ON INNOVATION PERFORMANCE

2012 ◽  
Vol 16 (02) ◽  
pp. 1250014 ◽  
Author(s):  
JONAS RUNDQUIST
Keyword(s):  
Knowledge Integration ◽  
Innovation Performance ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Types Of Knowledge ◽  
Interaction Terms ◽  
Different Types ◽  
Domain Specific Knowledge ◽  
Managerial Implications ◽  
Integrate Domain

The purpose of this study is to examine the effect of a firm's ability to integrate knowledge on their innovation performance, in order to help firm's prioritise their resources, used for knowledge integration, more effectively. Data were collected from a survey mailed to R&D managers in firms with between 100–1,000 employees in a cross-section of industries. Five hypotheses were tested using multiple regression analysis with and without interaction terms. The results indicate that a categorisation of knowledge is useful for understanding knowledge integration. The study also shows that the ability to integrate domain-specific knowledge is significantly related to innovation performance. Furthermore, the results indicate that technology turbulence in the industry has a positive moderating effect on the above relation. Managerial implications suggest how managers can focus their efforts in order to effectively integrate knowledge in product development projects.

Designing a Framework of Ethnomedicinal Plant Knowledge Integration Using OSS

2022 ◽  
pp. 518-531
Author(s):  
Piyali Das
Keyword(s):  
Herbal Medicine ◽  
Indigenous Knowledge ◽  
Knowledge Integration ◽  
Indigenous Communities ◽  
Information Retrieval System ◽  
Specific Knowledge ◽  
Plant Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Harvesting Techniques

Indigenous knowledge refers to the knowledge, innovations, and practices of indigenous communities. Ethnic groups are repository knowledge of herbal medicine. Many indigenous people use several plants for medicinal preparations, and these medicines are known as ethnomedicine. It has developed from experience gained over centuries. Species of ethnomedicinal plants are threatened in most of nations due to overexploitation, habitat loss, destructive harvesting techniques, unsustainable trade, and deforestation. Documented indigenous knowledge on ethnomedicine forms part of the documentary heritage of the nation. The chapter will provide a framework for design an information retrieval system for ethnomedicine or knowledge on medicinal plants that are used to manage human ailments. The framework will be prepared, established on the open source software (OSS), and is appropriate not only for documentation but also beneficial for retrieving domain-specific knowledge. The model provides a framework for resource integration digitally using Greenstone Digital Library (GSDL) software.

Research on feature-based opinion mining using topic maps

2016 ◽  
Vol 34 (3) ◽  
pp. 435-456 ◽  
Author(s):  
Lixin Xia ◽  
Zhongyi Wang ◽  
Chen Chen ◽  
Shanshan Zhai
Keyword(s):  
Domain Knowledge ◽  
Opinion Mining ◽  
Specific Knowledge ◽  
Content Type ◽  
Topic Maps ◽  
Domain Specific ◽  
Product Features ◽  
Domain Specific Knowledge ◽  
Feature Based ◽  
Integrate Domain

Purpose Opinion mining (OM), also known as “sentiment classification”, which aims to discover common patterns of user opinions from their textual statements automatically or semi-automatically, is not only useful for customers, but also for manufacturers. However, because of the complexity of natural language, there are still some problems, such as domain dependence of sentiment words, extraction of implicit features and others. The purpose of this paper is to propose an OM method based on topic maps to solve these problems. Design/methodology/approach Domain-specific knowledge is key to solve problems in feature-based OM. On the one hand, topic maps, as an ontology framework, are composed of topics, associations, occurrences and scopes, and can represent a class of knowledge representation schemes. On the other hand, compared with ontology, topic maps have many advantages. Thus, it is better to integrate domain-specific knowledge into OM based on topic maps. This method can make full use of the semantic relationships among feature words and sentiment words. Findings In feature-level OM, most of the existing research associate product features and opinions by their explicit co-occurrence, or use syntax parsing to judge the modification relationship between opinion words and product features within a review unit. They are mostly based on the structure of language units without considering domain knowledge. Only few methods based on ontology incorporate domain knowledge into feature-based OM, but they only use the “is-a” relation between concepts. Therefore, this paper proposes feature-based OM using topic maps. The experimental results revealed that this method can improve the accuracy of the OM. The findings of this study not only advance the state of OM research but also shed light on future research directions. Research limitations/implications To demonstrate the “feature-based OM using topic maps” applications, this work implements a prototype that helps users to find their new washing machines. Originality/value This paper presents a new method of feature-based OM using topic maps, which can integrate domain-specific knowledge into feature-based OM effectively. This method can improve the accuracy of the OM greatly. The proposed method can be applied across various application domains, such as e-commerce and e-government.

scholarly journals Domain-specific Knowledge in Lexicography: How It Helps Lexicographers and Users of Accounting Dictionaries Intended for Communicative Usage Situations

2017 ◽  
Vol 26 (50) ◽  
pp. 51
Author(s):  
Sandro Nielsen
Keyword(s):  
Foreign Language ◽  
Specific Knowledge ◽  
Global Marketplace ◽  
Domain Specific ◽  
Types Of Knowledge ◽  
Knowledge Types ◽  
Domain Specific Knowledge ◽  
Specialized Texts ◽  
State Of Affairs ◽  
Schematic Knowledge

Dictionaries are consulted when translating specialized texts in the global marketplace and when such texts are written in a foreign language. However, studies of translation in e.g. accounting indicate that most dictionaries do not provide the help needed in communicative situations, because they do not take into consideration that domain-specific meanings are culture- and structure-dependent. It is proposed that this state of affairs can be improved by studying the relevant types of knowledge required of lexicographers making accounting and other specialized dictionaries: declarative, procedural and schematic knowledge. These knowledge types are relevant when lexicographers select entry words as well as when they select equivalents and translations. Finally, it is proposed that declarative, procedural and schematic knowledge is needed when writing definitions of terms, and that these types of knowledge should also be reflected in the definitions presented to users or in other ways in dictionaries.

Designing a Framework of Ethnomedicinal Plant Knowledge Integration Using OSS

2021 ◽  
pp. 466-479
Author(s):  
Piyali Das
Keyword(s):  
Herbal Medicine ◽  
Indigenous Knowledge ◽  
Knowledge Integration ◽  
Indigenous Communities ◽  
Information Retrieval System ◽  
Specific Knowledge ◽  
Plant Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Harvesting Techniques

Indigenous knowledge refers to the knowledge, innovations, and practices of indigenous communities. Ethnic groups are repository knowledge of herbal medicine. Many indigenous people use several plants for medicinal preparations, and these medicines are known as ethnomedicine. It has developed from experience gained over centuries. Species of ethnomedicinal plants are threatened in most of nations due to overexploitation, habitat loss, destructive harvesting techniques, unsustainable trade, and deforestation. Documented indigenous knowledge on ethnomedicine forms part of the documentary heritage of the nation. The chapter will provide a framework for design an information retrieval system for ethnomedicine or knowledge on medicinal plants that are used to manage human ailments. The framework will be prepared, established on the open source software (OSS), and is appropriate not only for documentation but also beneficial for retrieving domain-specific knowledge. The model provides a framework for resource integration digitally using Greenstone Digital Library (GSDL) software.

Designing a Framework of Ethnomedicinal Plant Knowledge Integration Using OSS

2020 ◽  
pp. 332-345
Author(s):  
Piyali Das
Keyword(s):  
Herbal Medicine ◽  
Indigenous Knowledge ◽  
Knowledge Integration ◽  
Indigenous Communities ◽  
Information Retrieval System ◽  
Specific Knowledge ◽  
Plant Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Harvesting Techniques

Indigenous knowledge refers to the knowledge, innovations, and practices of indigenous communities. Ethnic groups are repository knowledge of herbal medicine. Many indigenous people use several plants for medicinal preparations, and these medicines are known as ethnomedicine. It has developed from experience gained over centuries. Species of ethnomedicinal plants are threatened in most of nations due to overexploitation, habitat loss, destructive harvesting techniques, unsustainable trade, and deforestation. Documented indigenous knowledge on ethnomedicine forms part of the documentary heritage of the nation. The chapter will provide a framework for design an information retrieval system for ethnomedicine or knowledge on medicinal plants that are used to manage human ailments. The framework will be prepared, established on the open source software (OSS), and is appropriate not only for documentation but also beneficial for retrieving domain-specific knowledge. The model provides a framework for resource integration digitally using Greenstone Digital Library (GSDL) software.

‘I’m an expert in me and I know what I can cope with’: Patient expertise in rheumatoid arthritis

2014 ◽  
Vol 10 (3) ◽  
pp. 249-261 ◽  
Author(s):  
Tessa Sanderson ◽  
Jo Angouri
Keyword(s):  
Rheumatoid Arthritis ◽  
Meta Analysis ◽  
Healthcare Systems ◽  
Specific Knowledge ◽  
Active Involvement ◽  
Domain Specific ◽  
Access To Health ◽  
Patient Expertise ◽  
Domain Specific Knowledge ◽  
The Uk

The active involvement of patients in decision-making and the focus on patient expertise in managing chronic illness constitutes a priority in many healthcare systems including the NHS in the UK. With easier access to health information, patients are almost expected to be (or present self) as an ‘expert patient’ (Ziebland 2004). This paper draws on the meta-analysis of interview data collected for identifying treatment outcomes important to patients with rheumatoid arthritis (RA). Taking a discourse approach to identity, the discussion focuses on the resources used in the negotiation and co-construction of expert identities, including domain-specific knowledge, access to institutional resources, and ability to self-manage. The analysis shows that expertise is both projected (institutionally sanctioned) and claimed by the patient (self-defined). We close the paper by highlighting the limitations of our pilot study and suggest avenues for further research.

Domain-Specific Knowledge Systems in the Brain: The Animate-Inanimate Distinction

1998 ◽  
Vol 10 (1) ◽  
pp. 1-34 ◽  
Author(s):  
Alfonso Caramazza ◽  
Jennifer R. Shelton
Keyword(s):  
Knowledge Systems ◽  
Neural Mechanisms ◽  
Specific Knowledge ◽  
Knowledge Framework ◽  
Semantic Categories ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Cognitive Neuropsychological ◽  
The Brain ◽  
Selective Impairment

We claim that the animate and inanimate conceptual categories represent evolutionarily adapted domain-specific knowledge systems that are subserved by distinct neural mechanisms, thereby allowing for their selective impairment in conditions of brain damage. On this view, (some of) the category-specific deficits that have recently been reported in the cognitive neuropsychological literature—for example, the selective damage or sparing of knowledge about animals—are truly categorical effects. Here, we articulate and defend this thesis against the dominant, reductionist theory of category-specific deficits, which holds that the categorical nature of the deficits is the result of selective damage to noncategorically organized visual or functional semantic subsystems. On the latter view, the sensory/functional dimension provides the fundamental organizing principle of the semantic system. Since, according to the latter theory, sensory and functional properties are differentially important in determining the meaning of the members of different semantic categories, selective damage to the visual or the functional semantic subsystem will result in a category-like deficit. A review of the literature and the results of a new case of category-specific deficit will show that the domain-specific knowledge framework provides a better account of category-specific deficits than the sensory/functional dichotomy theory.

scholarly journals Toward Knowledge Management for Smart Manufacturing

2017 ◽  
Vol 17 (3) ◽  
Author(s):  
Shaw C. Feng ◽  
William Z. Bernstein ◽  
Thomas Hedberg ◽  
Allison Barnard Feeney
Keyword(s):  
Knowledge Management ◽  
Design Process ◽  
Process Planning ◽  
Smart Manufacturing ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Knowledge Objects ◽  
Planning Production

The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.

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