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1

K-Graph: knowledgeable graph for text documents

Mittal Varsha, Gangodkar Durgaprasad, Pant Bhaskar

Journal of KONBiN

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2021

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Vol. 51, iss. 1

73--89

EN

Graph databases are applied in many applications, including science and business, due to their low-complexity, low-overheads, and lower time-complexity. The graph-based storage offers the advantage of capturing the semantic and structural information rather than simply using the Bag-of-Words technique. An approach called Knowledgeable graphs (K-Graph) is proposed to capture semantic knowledge. Documents are stored using graph nodes. Thanks to weighted subgraphs, the frequent subgraphs are extracted and stored in the Fast Embedding Referral Table (FERT). The table is maintained at different levels according to the headings and subheadings of the documents. It reduces the memory overhead, retrieval, and access time of the subgraph needed. The authors propose an approach that will reduce the data redundancy to a larger extent. With realworld datasets, K-graph’s performance and power usage are threefold greater than the current methods. Ninety-nine per cent accuracy demonstrates the robustness of the proposed algorithm.

2

Integration of Relational and Graph Databases Functionally

Pokorný Jarosław

Foundations of Computing and Decision Sciences

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2019

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Vol. 44, No. 4

427--441

EN

In today’s multi-model database world there is an effort to integrate databases expressed in different data models. The aim of the article is to show possibilities of integration of relational and graph databases with the help of a functional data model and its formal language - a typed lambda calculus. We suppose the existence of a data schema both for the relational and graph database. In this approach, relations are considered as characteristic functions and property graphs as sets of single-valued and multivalued functions. Then it is possible to express a query over such integrated heterogeneous database by one query expression expressed in a version of the typed lambda calculus. A more user-friendly version of such language could serve as a powerful query tool in practice. We discuss also queries sent to the integrated system and translated into queries in SQL and Cypher - the graph query language for Neo4j.

3

Representation of complex object and process structures in graph data base on the example of agricultural tractor

Pietrzyk Robert, Marciniak Andrzej

Archiwum Motoryzacji

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2019

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Vol. 83, nr 1

5--22

EN

The paper presents an application of Graph Data Base technology in knowledge engineering task concerned with knowledge representation of complex structures. The first example is graph representation of a composition of tractor gearbox. It is an example of application of static partonomy relation. The adequate codding of that relation in Graph Data Base is easily expressed in Cypher language. There were presented some applications of Graph Data Base useful in the management of the technical object existence in different “life” phases, as design, production, maintenance and recycling. The second example concerns the Graph representation of activity structure. Such structures were built based on an agricultural tractor’s technical revision system. Created Data Base allows for processing the queries referred to the questions of what activities in what period should be performed to maintain the agricultural tractor ready to work in good technical condition. The Graph Data Base technology is the first step to create semantic systems for data storing and processing in order to extract knowledge and information useful in precise physical process management.

4

Analiza funkcjonalnych wymagań oraz projektowanie modelu danych informatycznego systemu zarządzania charakterystykami reklam drogowych

Czerepicki A., Tomczuk P., Chrzanowicz M.

Prace Naukowe Politechniki Warszawskiej. Transport

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2017

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z. 118

85--94

PL

Reklamy w pasie drogowym stanowią nieodłączny element współczesnej architektury miejskiej. W zależności od treści przekazu, sposobu umiejscowienia oraz rodzaju podświetlenia, mogą one w różnym stopniu przyczynić się do rozproszenia uwagi osoby kierującej pojazdem. Ze względu na brak jednolitych przepisów prawnych regulujących standardy budowy oraz umieszczania reklam w obrębie drogi, oszacowanie wpływu reklamy na komfort kierowcy jest skomplikowane. Jednym z zadań projektu ROADVERT jest budowa narzędzia informatycznego, za pomocą którego można byłoby przeprowadzić kompleksową analizę technicznych aspektów reklam. Artykuł przedstawia zagadnienia związane z wybranymi etapami procesu projektowania takiego narzędzia. Wyodrębniono kategorie parametrów reklamy, jak np. aspekty treściowe, parametry oświetleniowe, lokalizacja reklamy w pasie drogowym, aspekty prawne etc. Opracowano i przedstawiono propozycję klasyfikacji reklam ze względu na poszczególne kryteria. Sformułowano wymagania funkcjonalne oraz techniczne do systemu. Zaproponowano obiektowy informatyczny model systemu, strukturę bazy danych oraz podstawowe elementy interfejsu użytkownika.

EN

Roadside advertising is an integrated part of modern urban architecture. They can disturb the attention of the vehicle driver depending on the content, the location, and the type of backlighting. Estimating the advertising impact on driver comfort is complicated due to lack of uniform legislation regulating construction standards and principles of ad placement near the road. One of the tasks of the ROADVERT project is to build an IT tool for a comprehensive analysis of the advertising technical aspects. This paper presents issues related to the selected stages of the IT tool design process. The categories of advertising parameters have been separated, such as lighting parameters, location of the advertisement in the lane, legislation aspects, etc. A proposal for advertisements classification depends on different criteria was developed and presented. The functional and technical requirements for the system have been formulated. An object-oriented IT system model and graph database structure were proposed.

5

Association of vector data used for technical documentation with information embedded in graph databases

Gruszczyński M., Idziaszek P., Mueller W., Weres J., Rudowicz-Nawrocka J., Górna K.

Journal of Research and Applications in Agricultural Engineering

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2016

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Vol. 61, nr 1

21--24

EN

The paper analyzes the possibilities of further and fuller use of geometric models of empirical systems, including agriculture, created at the level of AutoCAD. The analysis focuses primarily on opportunities for better mapping of existing links between graphic elements, unreadable or impossible to present at the level of digital technical documentation in the form of a graph structures offered by Neo4j. Information technologies, recognized and presented as necessary to achieve that objective were subsequently used to design and produce an application as a plug-in for AutoCAD. This application allows generating and management of created connections between geometric objects and their visualization both in the AutoCAD and available client software integrated with Neo4j platform.

PL

Przeanalizowano możliwości dalszego, pełniejszego wykorzystania modeli geometrycznych systemów empirycznych, w tym dotyczących rolnictwa, tworzonych na poziomie AutoCAD-a. Analiza dotyczyła w głównej mierze możliwości pełniejszego odwzorowania istniejących powiązań pomiędzy elementami graficznymi, nieczytelnymi bądź niemożliwymi do przedstawienia na poziomie cyfrowej dokumentacji technicznej w formie struktur grafowych oferowanych przez Neo4j. Rozpoznano i przedstawiono niezbędne do realizacji tego celu technologie informatyczne, które następnie wykorzystano do zaprojektowania i wytworzenia aplikacji w formie plug-in dla AutoCAD. Aplikacja ta pozwala na generowanie, a następnie na zarządzanie utworzonymi powiązaniami pomiędzy obiektami geometrycznymi oraz ich wizualizację zarówno po stronie AutoCAD-a, jak i dostępnego programu klienckiego zintegrowanego z platformą Neo4j.

6

Visualisation of Relational Database Structure by Graph Database

Idziaszek P., Mueller W., Rudowicz-Nawrocka J., Gruszczyński M., Kujawa S., Górna K., Balcerzak K.

Computational Methods in Science and Technology

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2016

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Vol. 22, No. 4

217--224

EN

Most IT systems rely on dedicated databases, and most of these databases are relational. The advantages of such databases are well known and widely reported in literature. Unfortunately, attempts to identify the topology of links in the relational model produced by iterative development or administrative enhancements are often hampered by the large number of tables that make up the database and the lack of comprehensive technical documentation. Analysis of the model by someone other than its designer requires substantial effort. The aim of the presented work is therefore to develop an application for effective presentation of the database structure in the form of a directed graph. The main assumption was that a graph-oriented database environment would be used. This paper presents the RELATIONS-Graph application developed by the authors. This application automatically generates a directed graph which presents links between tables and attributes which constitute a relational database. The RELATIONS-Graph application can also scan the generated graph in order to discover links between selected tables and columns. This solution has been applied to SQL Server 2014 SP1 DBMS using the Microsoft .NET technology and the Neo4j graph database, also by .NET API. The RELATIONS-Graph application was developed in C#, an object-oriented programming language.

7

Gene Ontology based gene analysis in graph database environment

Kozielski M., Stypka Ł.

Studia Informatica

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2013

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Vol. 34, nr 2A

325--336

EN

The article presents evaluation of the application of Neo4j graph database to Gene Ontology graph analysis. Graph-based term similarity measures are calculated in order to assess the effectiveness of the system. Two types of common ancestor search are presented and evaluated, and parallel execution of the analysis is also evaluated.

PL

Artykuł przedstawia ocenę zastosowania grafowej bazy danych Neo4j do analizy grafu ontologii Gene Ontology. Ocena systemu została przeprowadzona na podstawie obliczenia bazujących na analizie grafu miar podobieństwa terminów ontologii. Przedstawione i ocenione zostały dwa sposoby wyszukiwania rodziców w grafie. Analizie poddano również równoległą realizację badanych algorytmów.

8

Evaluating semantic similarity with a new method of path analysis in RDF using genetic algorithms

Strobin Ł, Niewiadomski A.

Journal of Applied Computer Science

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2013

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Vol. 21, nr 2

137--152

EN

This paper presents a novel method of evaluating semantic similarity by means of path analysis in RDF databases. Similarity is calculated by assignining each property (predicate in RDF terms) a weight, which is found using a genetic optimization algorithm. Presented method exhibits an advatage over existing methods, because of its ﬂexibility and the fact that no prior knowledge of a particular database is necessary. This paper also presents an exemplary application of the method - recommendation engine. Proposed method is applied to a well known problem - music recommendation based on DBPedia. Results obtained in the experiment positively verify its advanntages and usefulness.

9

Using Neo4j graph database in social network analysis

Warchał Ł.

Studia Informatica

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2012

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Vol. 33, nr 2A

271-279

EN

This article describes how Neo4j database capabilities can be utilized to implement measures often used in social network analysis. It gives a brief overview of the concept of Neo4j graph database. The UML class diagram of domain model is presented and discussed in details. On the basis of implementation of degree centrality and local clustering coefficient measures, several Neo4j core features are presented. In the summary, some general comments on using this database as a tool in a social network analysis are provided.

PL

Artykuł opisuje wykorzystanie możliwości bazy danych Neo4j w implementacji algorytmów stosowanych w analizie sieci społecznych. Przedstawiono w nim koncepcję Neo4j jako grafowej bazy danych oraz omówiono na diagramie klas podstawowe pojęcia z dziedziny przedmiotowej. Na podstawie implementacji dwóch miar (stopień węzła, lokalny współczynnik klasteryzacji), często używanych w analizie sieci społecznych, pokazano kilka podstawowych cech Neo4j. W ostatniej części znajduje się podsumowanie, w którym zebrano uwagi na temat wykorzystania tej bazy danych w analizie sieci społecznych.