scholarly journals R-KG: A Novel Method for Implementing a Robot Intelligent Service

AI ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 117-140 ◽  
Author(s):  
Wu Hao ◽  
Jiao Menglin ◽  
Tian Guohui ◽  
Ma Qing ◽  
Liu Guoliang
Keyword(s):  
Semantic Information ◽  
Environmental Information ◽  
Knowledge Graph ◽  
Markov Logic ◽  
Main Work ◽  
Knowledge Reasoning ◽  
Novel Method ◽  
Markov Logic Network ◽  
The Relationship ◽  
Different Sources

Aiming to solve the problem of environmental information being difficult to characterize when an intelligent service is used, knowledge graphs are used to express environmental information when performing intelligent services. Here, we specially design a kind of knowledge graph for environment expression referred to as a robot knowledge graph (R-KG). The main work of a R-KG is to integrate the diverse semantic information in the environment and pay attention to the relationship at the instance level. Also, through the efficient knowledge organization of a R-KG, robots can fully understand the environment. The R-KG firstly integrates knowledge from different sources to form a unified and standardized representation of a knowledge graph. Then, the deep logical relationship hidden in the knowledge graph is explored. To this end, a knowledge reasoning model based on a Markov logic network is proposed to realize the self-developmental ability of the knowledge graph and to further enrich it. Finally, as the strength of environment expression directly affects the efficiency of robots performing services, in order to verify the efficiency of the R-KG, it is used here as the semantic map that can be directly used by a robot for performing intelligent services. The final results prove that the R-KG can effectively express environmental information.

A Novel Method for Mining the Advisor-Student Relationships in Academic Social Network

2013 ◽  
Vol 655-657 ◽  
pp. 1795-1799
Author(s):  
Yue Wang ◽  
Xiao Lin Liu
Keyword(s):  
Social Network ◽  
Community Analysis ◽  
Research Field ◽  
Markov Logic ◽  
Student Relationships ◽  
Novel Method ◽  
Academic Social Network ◽  
Student Relationship ◽  
Markov Logic Network ◽  
The Relationship

Academic social network contains abundant knowledge about relationships among people or entities. Building the relationship between different entities correctly can help providing comprehensive services in the scientific research field. Unfortunately, some relationships, such as advisor-student relationship, are often hidden in academic social network, which are not explicitly categorized. Discovery of these relationships can benefit many valuable applications such as research community analysis. In this paper, a novel method based on Markov Logic Network is proposed to mine the advisor-student relationship in academic social network. Experimental results show that the proposed approach can find the advisor-student relationship effectively.

scholarly journals Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion

2021 ◽  
Vol 21 (S9) ◽  
Author(s):  
Yinyu Lan ◽  
Shizhu He ◽  
Kang Liu ◽  
Xiangrong Zeng ◽  
Shengping Liu ◽  
...  
Keyword(s):  
Semantic Information ◽  
State Of The Art ◽  
Semantic Representation ◽  
Medical Knowledge ◽  
The State ◽  
Language Models ◽  
Knowledge Graph ◽  
Knowledge Reasoning ◽  
Numerical Computing ◽  
Knowledge Graphs

Abstract Background Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (MedKGC). MedKGC can find new facts based on the existed knowledge in the KGs. The path-based knowledge reasoning algorithm is one of the most important approaches to this task. This type of method has received great attention in recent years because of its high performance and interpretability. In fact, traditional methods such as path ranking algorithm take the paths between an entity pair as atomic features. However, the medical KGs are very sparse, which makes it difficult to model effective semantic representation for extremely sparse path features. The sparsity in the medical KGs is mainly reflected in the long-tailed distribution of entities and paths. Previous methods merely consider the context structure in the paths of knowledge graph and ignore the textual semantics of the symbols in the path. Therefore, their performance cannot be further improved due to the two aspects of entity sparseness and path sparseness. Methods To address the above issues, this paper proposes two novel path-based reasoning methods to solve the sparsity issues of entity and path respectively, which adopts the textual semantic information of entities and paths for MedKGC. By using the pre-trained model BERT, combining the textual semantic representations of the entities and the relationships, we model the task of symbolic reasoning in the medical KG as a numerical computing issue in textual semantic representation. Results Experiments results on the publicly authoritative Chinese symptom knowledge graph demonstrated that the proposed method is significantly better than the state-of-the-art path-based knowledge graph reasoning methods, and the average performance is improved by 5.83% for all relations. Conclusions In this paper, we propose two new knowledge graph reasoning algorithms, which adopt textual semantic information of entities and paths and can effectively alleviate the sparsity problem of entities and paths in the MedKGC. As far as we know, it is the first method to use pre-trained language models and text path representations for medical knowledge reasoning. Our method can complete the impaired symptom knowledge graph in an interpretable way, and it outperforms the state-of-the-art path-based reasoning methods.

scholarly journals Object-Action Association Extraction from Knowledge Graphs

2021 ◽  
Author(s):  
Alexandros Vassiliades ◽  
Theodore Patkos ◽  
Vasilis Efthymiou ◽  
Antonis Bikakis ◽  
Nick Bassiliades ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Semantic Similarity ◽  
Semantic Information ◽  
Research Training ◽  
Relevant Literature ◽  
Physical World ◽  
Knowledge Graph ◽  
Training Systems ◽  
Novel Method ◽  
Knowledge Graphs

Infusing autonomous artificial systems with knowledge about the physical world they inhabit is of utmost importance and a long-lasting goal in Artificial Intelligence (AI) research. Training systems with relevant data is a common approach; yet, it is not always feasible to find the data needed, especially since a big portion of this knowledge is commonsense. In this paper, we propose a novel method for extracting and evaluating relations between objects and actions from knowledge graphs, such as ConceptNet and WordNet. We present a complete methodology of locating, enriching, evaluating, cleaning and exposing knowledge from such resources, taking into consideration semantic similarity methods. One important aspect of our method is the flexibility in deciding how to deal with the noise that exists in the data. We compare our method with typical approaches found in the relevant literature, such as methods that exploit the topology or the semantic information in a knowledge graph, and embeddings. We test the performance of these methods on the Something-Something Dataset.

scholarly journals A Framework for Service Semantic Description Based on Knowledge Graph

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1017
Author(s):  
Qitong Sun ◽  
Jun Han ◽  
Dianfu Ma
Keyword(s):  
Service Discovery ◽  
Large Scale ◽  
Semantic Information ◽  
Knowledge Graph ◽  
Data Sets ◽  
Accuracy Rate ◽  
Data Set ◽  
File Storage ◽  
Representation Method ◽  
The Relationship

To construct a large-scale service knowledge graph is necessary. We propose a method, namely semantic information extension, for service knowledge graphs. We insist on the information of services described by Web Services Description Language (WSDL) and we design the ontology layer of web service knowledge graph and construct the service graph, and using the WSDL document data set, the generated service knowledge graph contains 3738 service entities. In particular, our method can give a full performance to its effect in service discovery. To evaluate our approach, we conducted two sets of experiments to explore the relationship between services and classify services that develop by service descriptions. We constructed two experimental data sets, then designed and trained two different deep neural networks for the two tasks to extract the semantics of the natural language used in the service discovery task. In the prediction task of exploring the relationship between services, the prediction accuracy rate reached 95.1%, and in the service classification experiment, the accuracy rate of TOP5 reached 60.8%. Our experience shows that the service knowledge graph has additional advantages over traditional file storage when managing additional semantic information is effective and the new service representation method is helpful for service discovery and composition tasks.

Determinants Considered by Consumers for Brand Selection - with Reference to Laptops in Albania

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Margret Plloçi ◽  
Macit Koc
Keyword(s):  
Primary Data ◽  
Battery Life ◽  
Decision Making Process ◽  
Light Weight ◽  
Sources Of Information ◽  
Technical Features ◽  
The Relationship ◽  
The City ◽  
Different Sources ◽  
Core Features

Abstract Purpose of the article There is relatively a big number of brands in the market of laptops nowadays in Albania. It appears that the number of brands offered in this market could easily be compared to the number of brands in Europe and even broader. The purpose of this study is to help Albanian vendors understand the criteria that consumers take into consideration when they make the decision to purchase a laptop. Methodology/methods The research is based on the collection and the analyses of the primary data collected through interviews to people like managers or employees who work in the sector of trading laptops or in businesses like education where laptops are broadly used recently; then a survey is done through a questionnaire delivered to customers who already own and use a laptop and customers who are potential buyers of laptops. Scientific aim The aim of the research is to identify if there are any relationships between the demographics of the consumers and the criteria of buying a laptop; on the other hand, to find out how is the relationship between the demographics and the features of different brands. Findings The study found out that Albanian consumers have good knowledge of laptops and their brands, and they use different sources of information for making their decisions in buying a laptop; it is found that there are relationships between some demographics like age or gender and the appraisal for some attributes of the laptops like price, design and high graphics card; it is also found that some technical features and other attributes of using laptops are some of the determinants that influence the laptops’ purchases. Conclusions It is realized that one of the most important demographics of the consumers is their age. Some core features like RAM, ROM, battery life, processor quality, light weight or attributes that are connected to the purposes of using the laptop computers like practicality and mobility in using them, work and studying processes, quick access to the internet are determinant factors which influence the decision making process of purchasing a laptop. I would recommend that future researches be focused also on the relationship between the customers’ income and their preferred brand or ranking brands according to the customers’ preferences. Such studies should also extend outside the city of Tirana.

A Religion of Reason

2018 ◽  
Author(s):  
Frederick C. Beiser
Keyword(s):  
Final Section ◽  
Philosophy Of Religion ◽  
Concept Of God ◽  
Main Work ◽  
Religion And Ethics ◽  
Religion Of Reason ◽  
The Relationship

This chapter is an examination of Cohen’s main work on the philosophy of religion, his Religion der Vernunft aus den Quellen des Judentums. Cohen’s religion of reason was an attempt to respond to two opposing conceptions of religion: that of the romantics (Schleiermacher, Fries) and that of the Tübingen school (Baur, Strauβ‎). The romantics saw the essence of religion in feeling, the Tübingen school saw it in myth. Cohen tried to rescue the rational content of religion by interpreting it mainly in ethical terms, which he believed to consist in rational imperatives. Cohen’s concept of God is interpreted in terms of the validity of these ethical imperatives and not in terms of the existence of any entity. One section considers Cohen’s re-examination of the relationship between religion and ethics, which now stresses the distinctive characteristics of religion within ethics. The final section criticizes Rosenzweig’s interpretation of Cohen as a proto-existentialist.

scholarly journals Aromatic Profile Variation of Essential Oil from Dried Makwhaen Fruit and Related Species

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 803
Author(s):  
Trid Sriwichai ◽  
Jiratchaya Wisetkomolmat ◽  
Tonapha Pusadee ◽  
Korawan Sringarm ◽  
Kiattisak Duangmal ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Essential Oil ◽  
Related Species ◽  
Phenotypic Characteristic ◽  
Genetic Sequencing ◽  
Dried Fruits ◽  
Profile Variation ◽  
Chemical Profiles ◽  
The Relationship ◽  
Different Sources

The aim of this research is to evaluate the relationship between genotype, phenotype, and chemical profiles of essential oil obtained from available Zanthoxylum spp. Three specimens of makhwaen (MK) distributed in Northern Thailand were genetically and morphologically compared with other Zanthoxylum spices, known locally as huajiao (HJ) and makwoung (MKO), respectively. HJ was taxonomically confirmed as Z. armatum while MKO and MK were identified as Z. rhetsa and Z. myriacanthum. Genetic sequencing distributed these species into three groups accordingly to their confirmed species. Essential oil of the dried fruits from these samples was extracted and analyzed for their chemical and physical properties. Cluster analysis of their volatile compositions separated MKO and MK apart from HJ with L-limonene, terpinen-4-ol, β-phellandrene, and β-philandrene. By using odor attributes, the essential oil of MKO and MK were closely related possessing fruity, woody, and citrus aromas, while the HJ was distinctive. Overall, the phenotypic characteristic can be used to elucidate the species among makhwaen fruits of different sources. The volatile profiling was nonetheless dependent on the genotypes but makwoung and makhwaen showed similar profiles.

scholarly journals Acanthamoeba-Campylobacter Coculture as a Novel Method for Enrichment of Campylobacter Species

2007 ◽  
Vol 73 (21) ◽  
pp. 6864-6869 ◽  
Author(s):  
Diana Axelsson-Olsson ◽  
Patrik Ellstr�m ◽  
Jonas Waldenstr�m ◽  
Paul D. Haemig ◽  
Lars Brudin ◽  
...  
Keyword(s):  
Culture Medium ◽  
Bacterial Species ◽  
Oxygen Quenching ◽  
Free Living ◽  
Promising Tool ◽  
Low Concentrations ◽  
Novel Method ◽  
Selective Antibiotics ◽  
Different Sources ◽  
Bacterial Concentrations

ABSTRACT In this study, we present a novel method to isolate and enrich low concentrations of Campylobacter pathogens. This method, Acanthamoeba-Campylobacter coculture (ACC), is based on the intracellular survival and multiplication of Campylobacter species in the free-living protozoan Acanthamoeba polyphaga. Four of the Campylobacter species relevant to humans and livestock, Campylobacter jejuni, C. coli, C. lari, and C. hyointestinalis, were effectively enriched by the coculture method, with growth rates comparable to those observed in other Campylobacter enrichment media. Studying six strains of C. jejuni isolated from different sources, we found that all of the strains could be enriched from an inoculum of fewer than 10 bacteria. The sensitivity of the ACC method was not negatively affected by the use of Campylobacter-selective antibiotics in the culture medium, but these were effective in suppressing the growth of seven different bacterial species added at a concentration of 104 CFU/ml of each species as deliberate contamination. The ACC method has advantages over other enrichment methods as it is not dependent on a microaerobic milieu and does not require the use of blood or other oxygen-quenching agents. Our study found the ACC method to be a promising tool for the enrichment of Campylobacter species, particularly from water samples with low bacterial concentrations.

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