Anna Fensel

Wageningen University & Research | WUR

This paper presents a semantic policy adaptation technique and its applications in the context of smart building setups. We study how semantic rules which are created for one set of contextual conditions are affected when one of the context parameters changes. In particular, rules for triggering alerts and monitoring appliances and their adaptation...

Over the last few years, we have encountered an exponential growth in online communication opportunities. Organizations have more and more ways to connect and engage with their current or future customers. The existence of more opportunities in connecting to people can be both an enabler and a burden. Being present at a multitude of different chann...

The need for energy efficient technological solutions is becoming ever more prevalent in today’s world. However, current advances are failing to offer end-consumers with a flexible solution that can be widely implemented in domestic or business environments. This is particularly relevant at the user interface level where energy consumers should be...

The energy sector is becoming an important showcase for data economy, because of the societal, environmental and business value that can be created based on the vast amounts of newly available energy-related data. Utilizing the explosive growth in Big Data technology solutions, and the steady march of open data initiatives, this development is main...

Imagine what kind of applications become possible when our mobile devices not only present data but provide valuable information to other users. Users become able to instantaneously create services and to publish content and knowledge on their own mobile device, which can be discovered and accessed remotely by other mobile users in a simple way. To...

Artificial intelligence (AI) is a crucial technology of industrial digitalization. Especially in the production industry, a great potential is present in optimizing existing processes, e.g., concerning resource consumption, emission reduction, process and product quality improvements, predictive maintenance, and so on. Some of this potential is add...

In manufacturing industry, product failure is costly, as it results in financial and time losses. Understanding the causes of product failure is critical for reducing the occurrence of failure and optimising the manufacturing process. As a result, a number of studies utilising data-driven approaches such as machine learning have been conducted to r...

We present Polite Teacher, a simple yet effective method for the task of semi-supervised instance segmentation. The proposed architecture relies on the Teacher-Student mutual learning framework. To filter out noisy pseudo-labels, we use confidence thresholding for bounding boxes and mask scoring for masks. The approach has been tested with CenterMa...

We propose KGTN-ens, a framework extending the recent Knowledge Graph Transfer Network (KGTN) in order to incorporate multiple knowledge graph embeddings at a small cost. We evaluate it with different combinations of embeddings in a few-shot image classification task. We also construct a new knowledge source - Wikidata embeddings - and evaluate it...

In the past few years, the main research efforts regarding General Data Protection Regulation (GDPR)-compliant data sharing have been focused primarily on informed consent (one of the six GDPR lawful bases for data processing). In cases such as Business-to-Business (B2B) and Business-to-Consumer (B2C) data sharing, when consent might not be enough,...

The General Data Protection Regulation (GDPR) 1 has caused a technological shift in how data processing and sharing are performed. Consent, as a legal basis for data processing, has become a focus for many. However, it is only one of the six legal bases of GDPR. Contracts or contractual obligations are also a way of lawfully requesting data for var...

Search on the web, specifically fetching of the relevant content, has been paid attention to since the advent of the web and particularly in recent years due to the tremendous growth in the volume of data and web pages. This paper categorizes the search services from the early days of the web to the present into keyword search engines, semantic sea...

The article is devoting to the search for cost criteria when choosing among the information protection options of the business process of a commercial firm from internal threats. Business process scheduled in stages of business operations allows you to get a criterion for determining the cost of protecting business information and not to spend abov...

p>Encouraged by the European Union, all European countries need to enforce solutions to reduce non-renewable energy consumption in buildings. The reduction of energy (heating, domestic hot water, and appliances consumption) aims for the vision of near-zero energy consumption as a requirement goal for constructing buildings. In this paper, we review...

The enforcement of the GDPR in May 2018 has led to a paradigm shift in data protection. Organizations face significant challenges, such as demonstrating compliance (or auditability) and automated compliance verification due to the complex and dynamic nature of consent, as well as the scale at which compliance verification must be performed. Further...

Creation and reuse of content and data are on the rise. Tracing of who, when and how has created and modified content and data in an explicit manner becomes paramount for transparent, explainable, efficient and fair digital ecosystems. We specifically address a challenge that there is currently no uniform method to link data and content with licens...

Identifying and anticipating potential failures in the cloud is an effective method for increasing cloud reliability and proactive failure management. Many studies have been conducted to predict potential failure, but none have combined SMART (self-monitoring, analysis, and reporting technology) hard drive metrics with other system metrics, such as...

The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important. Realising this importance, a number of studies have been conducted and many are still ongoing to improve hard drive failure prediction. Most of those st...

In the industrial domain, developing solutions that allow the identification, understanding, and correction of faults is essential due to the cost of handling such situations. However, to date, there are not many solutions capable of facilitating the human operator to discern the causes and possible solutions for a specific fault. In this work, we...

Consent is one of GDPR's lawful bases for data processing and specific requirements for it apply. Consent should be specific, unambiguous, and most of all informed. However, an informed consent request does not guarantee having individuals who are aware of what it means to consent and the implications that follow. Consent is often given blindly now...

Over the recent years, a large number of knowledge graphs (KGs) have been developed to store and present small and medium enterprises’ data in the form of subject-predicate-object triples. The KGs are not easily accessible to end-users because they need an understanding of query languages and KGs’ structures. To assist end-users in accessing these...

Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer natural language questions. The presence of large number of facts, particularly in huge and well-known knowledge graphs such as DBpedia, makes it difficult to access the knowledge graph for each given question. This paper describes a generic solution ba...

Identifying and anticipating potential failures in the cloud is an effective method for increasing cloud reliability and proactive failure management. Many studies have been conducted to predict potential failure, but none have combined SMART (Self-Monitoring, Analysis, and Reporting Technology) hard drive metrics with other system metrics such as...

This article proposes a theoretical concept of economic construction of cyber-protection, as an integral part of cyber security and all its elements: information security, network and Internet security against modern threats for organizations. At first, such categories as cyberinformation, economics of cybersecurity, and classification of the conce...

Empowered by the emergence of novel information and communication technologies (ICTs) such as sensors and high-performance digital communication systems, Europe has adapted its electricity distribution network into a modern infrastructure known as a smart grid (SG). The benefits of this new infrastructure include precise and real-time capacity for...

With advancements in technology and big data availability, industries are struggling with data interoperability and knowledge representation. Ontologies have a great potential to solve such problems. However, the lack of standardisation prevents the widespread adoption of ontologies in different manufacturing domains. We investigate the possibility...

Knowledge graphs facilitate systematic large-scale data analysis by providing both human and machine-readable structures, which can be shared across different domains and platforms. Nowadays, knowledge graphs can be used to standardise the collection and sharing of user information in many different sectors such as transport, insurance, smart citie...

Knowledge graphs are used as a source of prior knowledge in numerous computer vision tasks. However, such an approach requires to have a mapping between ground truth data labels and the target knowledge graph. We linked the ILSVRC 2012 dataset (often simply referred to as ImageNet) labels to Wikidata entities. This enables using rich knowledge grap...

The acceptance of the GDPR legislation in 2018 started a new technological shift towards achieving transparency. GDPR put focus on the concept of informed consent applicable for data processing, which led to an increase of the responsibilities regarding data sharing for both end users and companies. This paper presents a literature survey of existi...

Consumption of media, and movies in particular, is increasing and is influenced by a number of factors. One important and overlooked factor that affects the media consumption choices is the emotional state of the user and the decision making based on it. To include this factor in movie recommendation processes, we propose a knowledge graph represen...

Knowledge graphs are used as a source of prior knowledge in numerous computer vision tasks. However, such an approach requires to have a mapping between ground truth data labels and the target knowledge graph. We linked the ILSVRC 2012 dataset (often simply referred to as ImageNet) labels to Wikidata entities. This enables using rich knowledge grap...

The performance of applications, such as personal assistants, search engines, and question-answering systems, rely on high-quality knowledge bases, a.k.a. Knowledge Graphs (KGs). To ensure their quality one important task is Knowledge Validation, which measures the degree to which statements or triples of a Knowledge Graph (KG) are correct. KGs ine...

Here, we overview the Energies journal special issue that is dedicated to the topic of “Energy Efficiency in Smart Homes and Smart Grids” (https://www [...]

Finding similar entities among knowledge graphs is an essential research problem for knowledge integration and knowledge graph connection. This paper aims at finding semantically similar entities between two knowledge graphs. This can help end users and search agents more effectively and easily access pertinent information across knowledge graphs....

This volume constitutes the refereed proceedings of the workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021, held in a virtual format in September 2021: The 12th International Workshop on Biological Knowledge Discovery from Data (BIOKDD 2021), the 5th International Workshop on Cyber-Security an...

p>With advancements in technology and big data availability, industries are struggling with data interoperability and knowledge representation. Ontologies have a great potential to solve such problems. However, the lack of standardisation prevents the widespread adoption of ontologies in different manufacturing domains. We investigate the possibili...

The performance of applications, such as personal assistants and search engines, relies on high-quality knowledge bases, a.k.a. Knowledge Graphs (KGs). To ensure their quality one important task is knowledge validation, which measures the degree to which statements or triples of KGs are semantically correct. KGs inevitably contain incorrect and inc...

Due to the rise in the commercial usage of knowledge graphs, the validation of graph-based data has gained importance over the past few years in the field of Semantic Web. In spite of this trend, the number of graph databases that support W3C’s validation specification Shapes Constraint Language (SHACL) can still be regarded as low, and best practi...

LinkedIn: https://at.linkedin.com/in/anna-fensel-0862501 2 On the value of usability tests for the development of social media marketing software Social networks such as Facebook, Twitter or LinkedIn opened the door for new ways of online marketing-social media marketing. In order to use social networks efficiently for marketing purposes and reach...

Direct online marketing and sales are nowadays an essential part of almost any business that addresses an end consumer, such as in tourism. On the downside, the data and content required for such marketing and sales are typically distributed, and difficult to identify and use, especially for small and medium enterprises. Further, a combination of c...

This volume constitutes the refereed proceedings of the three workshops held at the 31st International Conference on Database and Expert Systems Applications, DEXA 2020, held in September 2020: The 11th International Workshop on Biological Knowledge Discovery from Data, BIOKDD 2020, the 4th International Workshop on Cyber-Security and Functional Sa...

In the article describing the theoretical concept of economic protection builds of cybercasting as part of cybersecurity and all its elements: information security, network and Internet security against modern threats for organization. In the article presented such categories as: cyberinformation, economics of cybersecurity, and classification of t...

The paper outlines the most up to date version of the semantic licenses library of Data Licenses Clearance Center (DALICC), and discusses the possibilities of employing it for data profiling. In particular, we outline possible real-life use case directions from the domain of the vehicle sensor data profiling, an approach for the evaluation of the D...

Modern information and digital society impose new requirements for the preparation of master level students in the application and production of electronic publications and resources, as well as in the development of methods and means of information interaction in the process of implementing the capabilities of information and communication technol...

This paper describes the Data Licenses Clearance Center, a software framework that supports the cost-efficient and transparent resolution of licensing conflicts that occur in the reutilization of digital assets. DALICC provides a library of machine readable standard licenses and allows users to compose arbitrary custom licenses. In addition, the sy...

In this paper, we introduce the Data Licenses Clearance Center system, which not only provides a library of machine readable licenses but also allows users to compose their own license. A demonstrator can be found at https://www.dalicc.net.

In online marketing communication, publication consistency and content diversity are two important factors for marketing success. Especially in the tourism industry, having a strong online presence through the dissemination of high-quality content is highly desired. A method to maintain these two factors is by collecting and remixing various user-g...

In this paper, we propose an extension of the Open Digital Right Language for modeling well-known licenses and propose an approach to automatically check license compatibility.

The creation of derivative data works, e.g. for purposes such as content creation, service delivery or process automation, is often accompanied by legal uncertainty about usage rights and high costs in the clearance of licensing issues. DALICC stands for Data Licenses Clearance Center. It supports legal experts, innovation managers and application...

With its rapid growth and increasing adoption, big data is producing a substantial impact in society. Its usage is opening both opportunities such as new business models and economic gains and risks such as privacy violations and discrimination. Europe is in need of a comprehensive strategy to optimise the use of data for a societal benefit and inc...

Rights Expression Languages (RELs) are a central component of contemporary digital rights management systems. They are applied to express permissions, obligations and prohibitions in a machine-processable form. Since the early 1990s we can observe a massive increase in RELs for purposes such as access control, license management or contracting. Thi...

In this paper we introduce the Data Licenses Clearance Center , which provides a library of machine readable standard licenses and allows users to compose arbitrary licenses. In addition, the system supports the clearance of rights issues by providing users with information about the equivalence, similarity and compatibility of licenses. A beta ver...

Rights Expression Languages (RELs) are a central component of contemporary digital rights management systems. They are applied to express permissions, obligations and prohibitions in a machine-processable form. Since the early 1990s we can observe a massive increase in the uptake of RELs for purposes such as access control, license management or co...

The role of online communication channels, especially social media, has been developed from a platform for sharing information to a platform for influencing audiences. With the intention to reach the widest audience possible, organizations tend to distribute their marketing information to as many communication channels as possible. After that, they...

Die schnelle Entwicklung der Internet- und Web-Technologie verändert den Stand der Technik in der Kommunikation von Wissen oder Forschungsergebnissen. Insbesondere werden semantische Technologien, verknüpfte und offene Daten zu entscheidenden Faktoren für einen erfolgreichen und effizienten Forschungsfortschritt. Zuerst definiere ich den Research D...

Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy ef...

In this paper, ENTROPY platform, an IT ecosystem for supporting energy efficiency in buildings through behavioural change of the occupants is provided. The ENTROPY platform targets at providing a set of mechanisms for accelerating the adoption of energy efficient practices through the increase of the energy awareness and energy saving potential of...

In this paper, ENTROPY platform, an IT ecosystem for supporting energy efficiency in buildings through behavioural change of the occupants is provided. The ENTROPY platform targets at providing a set of mechanisms for accelerating the adoption of energy efficient practices through the increase of the energy awareness and energy saving potential of...

We present a roadmap to guide European research efforts towards a socially responsible big data economy that maximizes the positive impact of big data in environment and energy efficiency. The goal of the roadmap is to allow stakeholders and the big data community to identify and meet big data challenges, and to proceed with a shared understanding...

Rapid development of Internet and Web technology is changing the state of the art in communication of knowledge, or results of research activities. Semantic technology as well as linked and open data in particular are becoming key enablers for successful and efficient progress in research. At first, I define the research data service (RDS) and disc...

This volume constitutes the refereed proceedings of the Confederated International International Workshop on Enterprise Integration, Interoperability and Networking (EI2N ) , Fact Based Modeling ( FBM), Industry Case Studies Program ( ICSP ), International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of S...

While multiple online communication channels have been available on the Internet, coordination and integration of those channels have been challenging due to the interoperability limitation. Every channel has unique characteristics, and there is no standard format to interchange knowledge among them. In this paper, we propose an ontology-based mode...