Community-driven Consolidated Linked Data

2011 ◽  
pp. 228-258
Author(s):  
Aman Shakya ◽  
Hideaki Takeda ◽  
Vilas Wuwongse
Keyword(s):  
Linked Data ◽  
User Generated Content ◽  
Social Software ◽  
Software System ◽  
Ordinary People ◽  
Multiple Perspectives ◽  
Multiple Sources

User-generated content can help the growth of linked data. However, there are a lack of interfaces enabling ordinary people to author linked data. Secondly, people have multiple perspectives on the same concept and different contexts. Thirdly, there are not enough ontologies to model various data. Therefore, the authors of this chapter propose an approach to enable people to share various data through an easy-to-use social platform. Users define their own concepts and multiple conceptualizations are allowed. These are consolidated using semi-automatic schema alignment techniques supported by the community. Further, concepts are grouped semi-automatically by similarity. As a result of consolidation and grouping, informal lightweight ontologies emerge gradually. The authors have implemented a social software system, called StYLiD, to realize the approach. It can serve as a platform motivating people to bookmark and share different things. It may also drive vertical portals for specific communities with integrated data from multiple sources. Some experimental observations support the validity of the approach.

Community-Driven Linked Data Authoring and Production of Consolidated Linked Data

2009 ◽  
Vol 5 (3) ◽  
pp. 23-48
Author(s):  
Aman Shakya ◽  
Hideaki Takeda ◽  
Vilas Wuwongse
Keyword(s):  
Linked Data ◽  
User Generated Content ◽  
Social Software ◽  
Ordinary People ◽  
Multiple Perspectives ◽  
Multiple Sources

User-generated content can help the growth of linked data. However, we lack interfaces enabling ordinary people to author linked data. Secondly, people have multiple perspectives on the same concept and different contexts. Thirdly, not enough ontologies exist to model various data. Therefore, we propose an approach to enable people to share various data through an easy-to-use social platform. Users define their own concepts and multiple conceptualizations are allowed. These are consolidated using semi-automatic schema alignment techniques supported by the community. Further, concepts are grouped semi-automatically by similarity. As a result of consolidation and grouping, informal lightweight ontologies emerge gradually. We have implemented social software, called StYLiD, to realize our approach. It can serve as a platform motivating people to bookmark and share different things. It may also drive vertical portals for specific communities with integrated data from multiple sources. Experimental observations support the validity of our approach.

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 Evoke

2021 ◽  
Vol 81 (3-4) ◽  
pp. 318-358
Author(s):  
Sander Stolk
Keyword(s):  
Old English ◽  
Web Application ◽  
Linked Data ◽  
English Studies ◽  
Multiple Sources ◽  
Digital Resources ◽  
Powerful Research Tool ◽  
Recent Developments ◽  
Linguistic Analyses ◽  
The Web

Abstract This article provides an introduction to the web application Evoke. This application offers functionality to navigate, view, extend, and analyse thesaurus content. The thesauri that can be navigated in Evoke are expressed in Linguistic Linked Data, an interoperable data form that enables the extension of thesaurus content with custom labels and allows for the linking of thesaurus content to other digital resources. As such, Evoke is a powerful research tool that facilitates its users to perform novel cultural linguistic analyses over multiple sources. This article further demonstrates the potential of Evoke by discussing how A Thesaurus of Old English was made available in the application and how this has already been adopted in the field of Old English studies. Lastly, the author situates Evoke within a number of recent developments in the field of Digital Humanities and its applications for onomasiological research.

scholarly journals Hypermedia-Based Discovery for Source Selection Using Low-Cost Linked Data Interfaces

2018 ◽  
pp. 502-537
Author(s):  
Miel Vander Sande ◽  
Ruben Verborgh ◽  
Anastasia Dimou ◽  
Pieter Colpaert ◽  
Erik Mannens
Keyword(s):  
Linked Data ◽  
Low Cost ◽  
Strong Impact ◽  
Query Execution ◽  
Multiple Sources ◽  
Source Selection ◽  
Quantitative Metrics ◽  
Improve Result ◽  
Real World Datasets ◽  
Client Side

Evaluating federated Linked Data queries requires consulting multiple sources on the Web. Before a client can execute queries, it must discover data sources, and determine which ones are relevant. Federated query execution research focuses on the actual execution, while data source discovery is often marginally discussed—even though it has a strong impact on selecting sources that contribute to the query results. Therefore, the authors introduce a discovery approach for Linked Data interfaces based on hypermedia links and controls, and apply it to federated query execution with Triple Pattern Fragments. In addition, the authors identify quantitative metrics to evaluate this discovery approach. This article describes generic evaluation measures and results for their concrete approach. With low-cost data summaries as seed, interfaces to eight large real-world datasets can discover each other within 7 minutes. Hypermedia-based client-side querying shows a promising gain of up to 50% in execution time, but demands algorithms that visit a higher number of interfaces to improve result completeness.

scholarly journals Public views and recommendations on the use of linked data for research: preliminary results from a public deliberation engagement

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Jack Teng ◽  
Kim McGrail ◽  
Colene Bentley ◽  
Michael Burgess ◽  
Kieran O'Doherty
Keyword(s):  
Linked Data ◽  
Minority Groups ◽  
Data Access ◽  
Public Deliberation ◽  
Multiple Perspectives ◽  
Public Interests ◽  
The Public ◽  
Use Of Data ◽  
Research Risks ◽  
Public Views

IntroductionThe use of linked data for research is increasing, including in complexity of requests. Rules around access to and use of data necessarily trade-off risks related to privacy to achieve social benefits. Including informed and civic-minded public recommendations that consider different perspectives on privacy and benefit will improve related policy. Objectives and ApproachPopulation Data BC is conducting a deliberative public engagement regarding the use of complex linked data for research. Members of the public will be provided with written materials and hear speakers outlining considerations from multiple perspectives in data access and use, including benefits for health research, risks to privacy, and implications for disability and minority groups. Participants in the deliberation will then discuss questions about the use of linked data and ideas around principles for that use in small and large groups, and develop recommendations for data sharing policies. ResultsWe will be sharing our preliminary analysis of the public deliberation results at the conference. The public deliberation encourages the participants to develop policy recommendations that respect diversity of perspectives while negotiating constructive advice. It asks the group to make recommendations and to identify and explore issues on which the group has persistent disagreement. We will discuss insights into how the public values the use of data linkage and under what conditions such use becomes problematic. For example, we are hoping to gain insight about how publics determine if a project is in the public interest, or conversely, how a project may pose unacceptable harm. Conclusion/ImplicationsChanges in available data and increasing ability to link data makes it essential to include public views in systems of data access governance. Understanding the hopes and concerns of the public regarding the use of linked data for research will help develop data access regulations that reflect wide public interests.

Extracting Social Relationships from Social Software

2012 ◽  
pp. 405-417
Author(s):  
Jürgen Dorn ◽  
Stefan Labitzke
Keyword(s):  
Real World ◽  
Analytical Approach ◽  
Personal Relationship ◽  
Social Software ◽  
Software Systems ◽  
Software System ◽  
Internet Technologies ◽  
The Social ◽  
The Impact ◽  
The Relationship

We present an analytical approach to detect relationships between persons in the real world, such as friendship, rivalry, or others, out of the behavior of members in a social software system. In social software systems, users often evaluate submissions of other users. If these actions are somehow biased, we assume a personal relationship between these users. If we know about the relationship between two users, the validity of the evaluation, and with that, the trust into the social software, can be improved. For example, if a rival evaluates a submission unfairly, we should decrease the impact of this evaluation. We apply the approach in TechScreen, a social software system that supports the exchange of knowledge about Internet technologies. Since we try to mine competencies of its users, the validity of evaluations is very important. In this chapter we show results of experiments with about 50 users.

Extracting Social Relationships from Social Software

2014 ◽  
pp. 902-914
Author(s):  
Jürgen Dorn ◽  
Stefan Labitzke
Keyword(s):  
Real World ◽  
Analytical Approach ◽  
Personal Relationship ◽  
Social Software ◽  
Software Systems ◽  
Software System ◽  
Internet Technologies ◽  
The Social ◽  
The Impact ◽  
The Relationship

We present an analytical approach to detect relationships between persons in the real world, such as friendship, rivalry, or others, out of the behavior of members in a social software system. In social software systems, users often evaluate submissions of other users. If these actions are somehow biased, we assume a personal relationship between these users. If we know about the relationship between two users, the validity of the evaluation, and with that, the trust into the social software, can be improved. For example, if a rival evaluates a submission unfairly, we should decrease the impact of this evaluation. We apply the approach in TechScreen, a social software system that supports the exchange of knowledge about Internet technologies. Since we try to mine competencies of its users, the validity of evaluations is very important. In this chapter we show results of experiments with about 50 users.

scholarly journals DiversiNews: Surfacing Diversity in Online News

AI Magazine ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 87-104 ◽  
Author(s):  
Mitja Trampuš ◽  
Flavio Fuart ◽  
Daniele Pighin ◽  
Tadej Štajner ◽  
Jan Berčič ◽  
...  
Keyword(s):  
User Interface ◽  
Real Time ◽  
Online News ◽  
Multiple Perspectives ◽  
Multiple Sources ◽  
Time News ◽  
News Events ◽  
Event Based ◽  
Positive Results ◽  
Ranked List

For most events of at least moderate significance, there are likely tens, often hundreds or thousands of online articles reporting on it, each from a slightly different perspective. If we want to understand an event in depth, from multiple perspectives, we need to aggregate multiple sources and understand the relations between them. However, current news aggregators do not offer this kind of functionality. As a step towards a solution, we propose DiversiNews, a real-time news aggregation and exploration platfom whose main feature is a novel set of controls that allow users to contrast reports of a selected event based on topical emphases, sentiment differences and/or publisher geolocation. News events are presented in the form of a ranked list of articles pertaining to the event and an automatically generated summary. Both the ranking and the summary are interactive and respond in real time to user’s change of controls. We validated the concept and the user interface through user tests with positive results.

scholarly journals SREQP: A Solar Radiation Extraction and Query Platform for the Production and Consumption of Linked Data from Weather Stations Sensors

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
José Luis Sánchez-Cervantes ◽  
Mateusz Radzimski ◽  
Cristian Aaron Rodriguez-Enriquez ◽  
Giner Alor-Hernández ◽  
Lisbeth Rodríguez-Mazahua ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Linked Data ◽  
Sensor Data ◽  
Multiple Sources ◽  
Analytic Hierarchy ◽  
Multiple Resources ◽  
Sensor Web ◽  
Production And Consumption ◽  
External Sources ◽  
Web Systems

Nowadays, solar radiation information is provided from sensors installed in different geographic locations and platforms of meteorological agencies. However, common formats such as PDF files and HTML documents to provide solar radiation information do not offer semantics in their content, and they may pose problems to integrate and fuse data from multiple resources. One of the challenges of sensors Web is the unification of data from multiple sources, although this type of information facilitates interoperability with other sensor Web systems. This research proposes architecture SREQP (Solar Radiation Extraction and Query Platform) to extract solar radiation data from multiple external sources and merge them on a single and unique platform. SREQP makes use of Linked Data to generate a set of triples containing information about extracted data, which allows final users to query data through a SPARQL endpoint. The conceptual model was developed by using known vocabularies, such as SSN or WGS84. Moreover, an Analytic Hierarchy Process was carried out for the evaluation of SREQP in order to identify and evaluate the main features of Linked-Sensor-Data and the sensor Web systems. Results from the evaluation indicated that SREQP contained most of the features considered essential in Linked-Sensor-Data and sensor Web systems.

scholarly journals Where the Semantic Web and Web 2.0 Meet Format Risk Management: P2 Registry

2011 ◽  
Vol 6 (1) ◽  
pp. 165-182 ◽  
Author(s):  
David Tarrant ◽  
Steve Hitchcock ◽  
Leslie Carr
Keyword(s):  
Risk Management ◽  
Semantic Web ◽  
Linked Data ◽  
Digital Preservation ◽  
File Format ◽  
Multiple Sources ◽  
Single Institution ◽  
Digital Format ◽  
Machine Readable ◽  
The Web

The Web is increasingly becoming a platform for linked data. This means making connections and adding value to data on the Web. As more data becomes openly available and more people are able to use the data, it becomes more powerful. An example is file format registries and the evaluation of format risks. Here the requirement for information is now greater than the effort that any single institution can put into gathering and collating this information. Recognising that more is better, the creators of PRONOM, JHOVE, GDFR and others are joining to lead a new initiative: the Unified Digital Format Registry. Ahead of this effort, a new RDF-based framework for structuring and facilitating file format data from multiple sources, including PRONOM, has demonstrated it is able to produce more links, and thus provide more answers to digital preservation questions - about format risks, applications, viewers and transformations - than the native data alone. This paper will describe this registry, P2, and its services, show how it can be used, and provide examples where it delivers more answers than the contributing resources. The P2 Registry is a reference platform to allow and encourage publication of preservation data, and also an examplar of what can be achieved if more data is published openly online as simple machine-readable documents. This approach calls for the active participation of the digital preservation community to contribute data by simply publishing it openly on the Web as linked data.

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