scholarly journals An Integrated Knowledge Base for Modelling and Predicting Vehicle Real-world Emissions as a Function of Driving Behaviour Kinematics

2008 ◽  
Vol 16 (4) ◽  
pp. 279 ◽  
Author(s):  
Mario Rapone ◽  
Livia Della Ragione ◽  
Giovanni Meccariello
Keyword(s):  
Knowledge Base ◽  
Real World ◽  
Driving Behaviour ◽  
Integrated Knowledge

scholarly journals Engineering Knowledge Graph from Patent Database

2021 ◽  
pp. 1-36
Author(s):  
L Siddharth ◽  
Lucienne Blessing ◽  
Kristin L. Wood ◽  
Jianxi Luo
Keyword(s):  
Knowledge Base ◽  
Engineering Design ◽  
Real World ◽  
Knowledge Bases ◽  
Knowledge Graph ◽  
Patent Document ◽  
Engineering Knowledge ◽  
Design Perspective ◽  
Entity Relationship ◽  
Integrated Knowledge

Abstract We propose a large scalable engineering knowledge base as an integrated knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering ‘facts’ found in the patent database. We apply a set of rules based on the syntactic and lexical properties of claims in a patent document to extract entities and their associated relationships that are supposedly meaningful from an engineering design perspective. Such a knowledge base is expected to support inferencing, reasoning, recalling in various engineering design tasks. The knowledge base has a greater size and coverage in comparison with the previously used knowledge bases in the engineering design literature.

Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality

2015 ◽  
pp. 73-95 ◽  
Author(s):  
Rafal Rzepka ◽  
Kenji Araki
Keyword(s):  
Text Mining ◽  
Knowledge Base ◽  
Real World ◽  
Semantic Analysis ◽  
Experimental Results ◽  
Artificial Agents ◽  
Knowledge Source ◽  
The Real ◽  
Long Run

This chapter introduces an approach and methods for creating a system that refers to human experiences and thoughts about these experiences in order to ethically evaluate other parties', and in a long run, its own actions. It is shown how applying text mining techniques can enrich machine's knowledge about the real world and how this knowledge could be helpful in the difficult realm of moral relativity. Possibilities of simulating empathy and applying proposed methods to various approaches are introduced together with discussion on the possibility of applying growing knowledge base to artificial agents for particular purposes, from simple housework robots to moral advisors, which could refer to millions of different experiences had by people in various cultures. The experimental results show efficiency improvements when compared to previous research and also discuss the problems with fair evaluation of moral and immoral acts.

Conclusion

2020 ◽  
pp. 243-247
Author(s):  
James Pickett
Keyword(s):  
Knowledge Base ◽  
Social Group ◽  
Islamic Law ◽  
Social Roles ◽  
Social Groups ◽  
Social Functions ◽  
Regional Networks ◽  
Mix And Match ◽  
Forms Of Knowledge ◽  
Integrated Knowledge

This concluding chapter explains that for all of their eclecticism, and for all their seeming paradoxes, the polymaths of Islam were united by a common madrasa education, mastery of a canon of texts, and shared regional networks. Their curriculum went far beyond the grammar and logic emphasized in the madrasa. Even mastering substantive Islamic law from medieval Arabic texts was necessary, but not sufficient, to distinguish a high Persianate intellectual from his many, many competitors. Most of the ulama — especially those who rose to the top — studied a plethora of collateral disciplines: poetry, mysticism, astronomy, calligraphy, medicine, trade, and more. Secondary scholarship often pairs these forms of knowledge with discrete communities, differentiating scholars, poets, sufis, and physicians into distinct social groups, with the sufi-ulama dichotomy especially pronounced. However, these were not separate groups with separate corporate identities. Rather, they were discrete social roles performed by a single social group. Their integrated knowledge base allowed them to mix and match social functions with impunity.

Mining information from sentences through Semantic Web data and Information Extraction tasks

2020 ◽  
pp. 016555152093438
Author(s):  
Jose L. Martinez-Rodriguez ◽  
Ivan Lopez-Arevalo ◽  
Ana B. Rios-Alvarado
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Information Extraction ◽  
Knowledge Base ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Real World ◽  
Semantic Similarity Measure ◽  
Web Standards ◽  
Extract Information

The Semantic Web provides guidelines for the representation of information about real-world objects (entities) and their relations (properties). This is helpful for the dissemination and consumption of information by people and applications. However, the information is mainly contained within natural language sentences, which do not have a structure or linguistic descriptions ready to be directly processed by computers. Thus, the challenge is to identify and extract the elements of information that can be represented. Hence, this article presents a strategy to extract information from sentences and its representation with Semantic Web standards. Our strategy involves Information Extraction tasks and a hybrid semantic similarity measure to get entities and relations that are later associated with individuals and properties from a Knowledge Base to create RDF triples (Subject–Predicate–Object structures). The experiments demonstrate the feasibility of our method and that it outperforms the accuracy provided by a pattern-based method from the literature.

The Nature and Areas of Technoethical Inquiry

2010 ◽  
pp. 86-107
Author(s):  
Luppicini Rocci
Keyword(s):  
Knowledge Base ◽  
Real World ◽  
Systems Approach ◽  
Knowledge Building ◽  
Human Life ◽  
Ethical Aspects ◽  
The Core ◽  
Interdisciplinary Knowledge ◽  
Comprehensive Picture ◽  
Cross Fertilization

As illustrated in the preceding chapters, social and ethical concerns about technology are multifaceted and cannot be resolved through methods derived from any one discipline. Instead, a multi-tiered approach that draws on an interdisciplinary knowledge base is recommended to guide a proper technoethical inquiry advanced through knowledge and insights derived from multiple disciplines and literatures. This approach is desirable for achieving a more comprehensive picture of technology at the core of human life and society. Knowledge derived from the cross-fertilization of relevant areas of inquiry represents a potentially powerful set of knowledge building tools that can be used for maximizing the positive and minimizing the negative ethical aspects of technology in society. To this end, a systems approach to technoethical inquiry (chapter 4) was highlighted as an ideal methodology for studying the multi-faceted nature of ethical aspects of technology. This, however, does not negate the use of other methods and tools available to guide technoethical inquiry. Neither does it capture the nature and scope of technoethical inquiry within the real world of technology and humans.

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