scholarly journals Interoperability and Integration: An Updated Approach to Linked Data Publication at the Dutch Land Registry

2022 ◽  
Vol 11 (1) ◽  
pp. 51
Author(s):  
Alexandra Rowland ◽  
Erwin Folmer ◽  
Wouter Beek ◽  
Rob Wenneker
Keyword(s):  
Spatial Data ◽  
Linked Data ◽  
Knowledge Graph ◽  
Knowledge Model ◽  
New Approach ◽  
Data Publication ◽  
Triple Store ◽  
Form Part ◽  
Increasing Demand ◽  
External Community

Kadaster, the Dutch National Land Registry and Mapping Agency, has been actively publishing their base registries as linked (open) spatial data for several years. To date, a number of these base registers as well as a number of external datasets have been successfully published as linked data and are publicly available. Increasing demand for linked data products and the availability of new linked data technologies have highlighted the need for a new, innovative approach to linked data publication within the organisation in the interest of reducing the time and costs associated with said publication. The new approach to linked data publication is novel in both its approach to dataset modelling, transformation, and publication architecture. In modelling whole datasets, a clear distinction is made between the Information Model and the Knowledge Model to capture both the organisation-specific requirements and to support external, community standards in the publication process. The publication architecture consists of several steps where instance data are loaded from their source as GML and transformed using an Enhancer and published in the triple store. Both the modelling and publication architecture form part of Kadaster’s larger vision for the development of the Kadaster Knowledge Graph through the integration of the various linked datasets.

scholarly journals Measuring Walkability with GIS—Methods Overview and New Approach Proposal

2021 ◽  
Vol 13 (4) ◽  
pp. 1883
Author(s):  
Agnieszka Telega ◽  
Ivan Telega ◽  
Agnieszka Bieda
Keyword(s):  
Spatial Data ◽  
Urban Areas ◽  
Modern World ◽  
Single Family ◽  
New Approach ◽  
Parks And Recreation ◽  
Gis Tools ◽  
Point Data ◽  
Pedestrian Infrastructure ◽  
Gis Methods

Cities occupy only about 3% of the Earth’s surface area, but half of the global population lives in them. The high population density in urban areas requires special actions to make these areas develop sustainably. One of the greatest challenges of the modern world is to organize urban spaces in a way to make them attractive, safe and friendly to people living in cities. This can be managed with the help of a number of indicators, one of which is walkability. Of course, the most complete analyses are based on spatial data, and the easiest way to implement them is using GIS tools. Therefore, the goal of the paper is to present a new approach for measuring walkability, which is based on density maps of specific urban functions and networks of generally accessible pavements and paths. The method is implemented using open-source data. Density values are interpolated from point data (urban objects featuring specific functions) and polygons (pedestrian infrastructure) using Kernel Density and Line Density tools in GIS. The obtained values allow the calculation of a synthetic indicator taking into account the access by means of pedestrian infrastructure to public transport stops, parks and recreation areas, various attractions, shops and services. The proposed method was applied to calculate the walkability for Kraków (the second largest city in Poland). The greatest value of walkability was obtained for the Main Square (central part of the Old Town). The least accessible to pedestrians are, on the other hand, areas located on the outskirts of the city, which are intended for extensive industrial areas, single-family housing or large green areas.

The Use of Software Tools in Linked Data Publication and Consumption

2017 ◽  
Vol 13 (4) ◽  
pp. 68-88 ◽  
Author(s):  
Armando Barbosa ◽  
Ig Ibert Bittencourt ◽  
Sean Wolfgand Matsui Siqueira ◽  
Rafael de Amorim Silva ◽  
Ivo Calado
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Linked Data ◽  
Final Analysis ◽  
Software Tools ◽  
Original Sample ◽  
Publication Process ◽  
Data Publication ◽  
Broad Understanding

To reduce the complexity intrinsic to LD manipulation, software tools are used to publish or consume data associated to LD activities. However, few developers have a broad understanding of how software tools may be used in publication or consumption of Linked Data. The goal of this work is to investigate the use of software tools in Linked Data publication and consumption processes. More specifically, understanding how these software tools are related to process of publication or consumption of LD. In order to meet their goal, the authors conducted a Systematic Literature Review (SLR) to identify the studies on the use of software tools in these processes. The SLR gathered 6473 studies, of which only 80 studies remained for final analysis (1.25% of the original sample). The highlights of the study are: (1) initial steps of the publication process are fairly supported by the software tools; (2) Non-RDF serialization is fairly supported in publication and consumptions process by the software tools; and (3) there are non-supported steps in consumption and publication processes by the tools.

scholarly journals TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data

Semantic Web ◽  
2021 ◽  
pp. 1-27
Author(s):  
Ahmet Soylu ◽  
Oscar Corcho ◽  
Brian Elvesæter ◽  
Carlos Badenes-Olmedo ◽  
Tom Blount ◽  
...  
Keyword(s):  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Knowledge Graph ◽  
Multiple Sources ◽  
The Public ◽  
Cross Border ◽  
Data Platform ◽  
Document Search ◽  
Cross Lingual

Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, open data initiatives and integration of data from multiple sources across national borders could transform the procurement market by such as lowering the barriers of entry for smaller suppliers and encouraging healthier competition, in particular by enabling cross-border bids. Increasingly more open data is published in the public sector; however, these are created and maintained in siloes and are not straightforward to reuse or maintain because of technical heterogeneity, lack of quality, insufficient metadata, or missing links to related domains. To this end, we developed an open linked data platform, called TheyBuyForYou, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed advanced tools and services on top of the knowledge graph for anomaly detection, cross-lingual document search, and data storytelling. This article describes the TheyBuyForYou platform and knowledge graph, reports their adoption by different stakeholders and challenges and experiences we went through while creating them, and demonstrates the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.

scholarly journals Leveraging Domain Context for Question Answering Over Knowledge Graph

2019 ◽  
Vol 4 (4) ◽  
pp. 323-335 ◽  
Author(s):  
Peihao Tong ◽  
Qifan Zhang ◽  
Junjie Yao
Keyword(s):  
Information Needs ◽  
Question Answering ◽  
Knowledge Graph ◽  
New Approach ◽  
Rich Domain ◽  
Complex Information ◽  
Question And Answer ◽  
Knowledge Graphs ◽  
The Rich ◽  
Matching Models

Abstract With the growing availability of different knowledge graphs in a variety of domains, question answering over knowledge graph (KG-QA) becomes a prevalent information retrieval approach. Current KG-QA methods usually resort to semantic parsing, search or neural matching models. However, they cannot well tackle increasingly long input questions and complex information needs. In this work, we propose a new KG-QA approach, leveraging the rich domain context in the knowledge graph. We incorporate the new approach with question and answer domain context descriptions. Specifically, for questions, we enrich them with users’ subsequent input questions within a session and expand the input question representation. For the candidate answers, we equip them with surrounding context structures, i.e., meta-paths within the targeting knowledge graph. On top of these, we design a cross-attention mechanism to improve the question and answer matching performance. An experimental study on real datasets verifies these improvements. The new approach is especially beneficial for specific knowledge graphs with complex questions.

scholarly journals A Novel Approach For Information Security With Automatic Variable Key Using Fibonacci Q-Matrix

2014 ◽  
pp. 296-299
Author(s):  
SHALIGRAM PRAJAPAT ◽  
AMBER JAIN ◽  
R. S. THAKUR
Keyword(s):  
Information Security ◽  
Communication Channel ◽  
Computation Time ◽  
Transaction Processing ◽  
New Approach ◽  
Secure Information ◽  
Novel Approach ◽  
Symmetric Key ◽  
Q Matrix ◽  
Increasing Demand

Information security is essential nowadays. Large number of cipher generation and decryption algorithms exists and are being evolved due to increasing demand of users and e-commerce services. In this paper we propose a new approach for secure information transmission over communication channel with key variability concept in symmetric key algorithms using Fibonacci Qmatrix. Proposed approach will not only enhance the security of information but also saves computation time and reduces power requirements that will find it’s suitability for future hand held devices and online transaction processing.

scholarly journals LINKED DATA VIEWING AS PART OF THE SPATIAL DATA PLATFORM OF THE FUTURE

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 49-52 ◽  
Author(s):  
E. Folmer ◽  
W. Beek ◽  
L. Rietveld
Keyword(s):  
The Netherlands ◽  
Spatial Data ◽  
Online Publication ◽  
Linked Data ◽  
Open Data ◽  
Linked Open Data ◽  
Geospatial Data ◽  
Sparql Endpoint ◽  
Data Platform ◽  
Main Components

<p><strong>Abstract.</strong> The Land Registry and Mapping Agency of the Netherlands (‘Kadaster’ in Dutch) is developing an online publication platform for sharing its geospatial data assets called KDP (`Kadaster Data Platform’ in Dutch). One of the main goals of this platform is to better share geospatial data with the wider, web-oriented world, including its developers, approaches, and standards. Linked Open Data (W3C), GeoSPARQL (OGC), and Open APIs (OpenAPI Specification) are the predominant standardized approaches for this purpose. As a result, the most important spatial datasets of the Netherlands – including several key registries – are now being published as Linked Open Data that can be accessed through a SPARQL endpoint and a collection of REST APIs. In addition to providing raw access to the data, Kadaster Data Platform also offers developers functionalities that allow them to gain a better understanding about the contents of its datasets. These functionalities include various ways for viewing Linked Data . This paper focuses on two of the main components the Kadaster Data Platform is using for this purpose: FacetCheck and Data Stories.</p>

scholarly journals The roles of data management and analytics in industry 4.0 ecosystems

2020 ◽  
Author(s):  
Hendro Wicaksono
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Linked Data ◽  
Data Analytics ◽  
Industrial Revolution ◽  
Data Driven ◽  
Knowledge Graph ◽  
Fourth Industrial Revolution ◽  
Global Access ◽  
Integration Data

The presentation introduces the technologies associated with the fourth industrial revolution which rely on the concept of artificial intelligence. Data is the basis of functioning artificial intelligence technologies. The presentation also explains how data can revolutionize the business by providing global access to physical products through an industry 4.0 ecosystem. The ecosystem contains four pillars: smart product, smart process, smart resources (smart PPR), and data-driven services. Through these four pillars, the industry 4.0 can be implemented in different sectors. The presentation also provides some insights on the roles of linked data (knowledge graph) for data integration, data analytics, and machine learning in industry 4.0 ecosystem. Project examples in smart city, healthcare, and agriculture sectors are also described. Finally, the presentation discusses the implications of the introduced concepts on the Indonesian context.

scholarly journals Publicação e consumo de dados abertos conectados acadêmicos

2018 ◽  
Vol 1 (42) ◽  
pp. 136
Author(s):  
André Alencar ◽  
Douglas Xavier ◽  
Luiz Carlos Chaves ◽  
Damires Yluska Souza
Keyword(s):  
Linked Data ◽  
Open Data ◽  
Semantic Technologies ◽  
Academic Institutions ◽  
Academic Unit ◽  
Data Publication ◽  
Source Data ◽  
Data Consumption ◽  
Data Visualizations ◽  
The Web

<p>Nowadays, the Web may be considered an adequate ecosystem for publication and open data consumption . Published datasets may provide open and, additionally, linked data, which results in the use of semantic technologies such as recommended vocabularies and their connection with other datasets. Taking into account a data scope from the Academic Unit of Informatics at IFPB-Campus João Pessoa, a set of open and linked data was created and published for consumption. This dataset includes information obtained from the Lattes Platform and from some internal data regarding teachers, projects, courses and areas of expertise. Source data went through a process of extraction, transformation and load based on the use of an ontology, named “Ontology for University and Academic Institutions” (OUAI), which was developed in this work. As a result, the dataset was published in the RDF model and was made available for consumption through an endpoint. Based ondata consumption, the OpenUAI application was developed as a means to provide data visualizations on the unit activities and people. This work presents the process regarding the data publication and consumption, the ontology created to help matters, the OpenUAI application and some results obtained with the performed evaluation.</p>

scholarly journals AN INTEGRATED APPROACH FOR LINKED DATA BROWSING

2017 ◽  
Vol XLII-4/W2 ◽  
pp. 35-38 ◽  
Author(s):  
W. Beek ◽  
E. Folmer
Keyword(s):  
The Netherlands ◽  
Open Source ◽  
Spatial Data ◽  
Linked Data ◽  
Open Data ◽  
Integrated Approach ◽  
Use Cases ◽  
Large Collection ◽  
Faceted Browsing ◽  
Data Browsing

The Netherlands' Cadastre, Land Registry and Mapping Agency – in short Kadaster – collects and registers administrative and spatial data on property and the rights involved. Currently, the Kadaster is publishing its geo-spatial data assets as Linked Open Data. The Kadaster manages hundreds of datasets that describe hundreds of millions of geospatial objects, including all Dutch buildings, roads, and forests. <br><br> The Kadaster exposes this large collection of data to thousands of daily users that operate from within different contexts and that need to be supported in different use cases. Therefore, Kadaster must offer diverse, yet complementary, approaches for browsing and exploring the data it publishes. Specifically, it supports the following paradigms for browsing and exploring its data assets: hierarchical browsing, graph navigation, faceted browsing, and tabular browsing. These paradigms are useful for different tasks, cover different use cases, and are implemented by reusing and/or developing Open Source libraries and applications.

Sign in / Sign up

Export Citation Format

Share Document