A5073592405- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Topic Modeling
- Advanced Graph Neural Networks
- Software Engineering Research
- Natural Language Processing Techniques
- Data Mining Algorithms and Applications
- Mobile Crowdsensing and Crowdsourcing
- Scientific Computing and Data Management
- Business Process Modeling and Analysis
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Recommender Systems and Techniques
- Advanced Image and Video Retrieval Techniques
- Web Data Mining and Analysis
- Complex Network Analysis Techniques
- Biomedical Text Mining and Ontologies
- Open Source Software Innovations
- Auction Theory and Applications
- Software Reliability and Analysis Research
- Digital Innovation in Industries
- Software System Performance and Reliability
University of Zurich
2016-2025
Dynamic Systems (United States)
2001-2011
Zürcher Fachhochschule
2008
Ollscoil na Gaillimhe – University of Galway
2008
University of Manchester
1981-2008
Enterprise Ireland
2008
Universität Innsbruck
2008
National and Kapodistrian University of Athens
2008
Association for Computing Machinery
2003
ARUP Laboratories (United States)
2003
This paper describes a novel theoretical and empirical approach to tasks such as business process redesign knowledge management. The project involves collecting examples of how different organizations perform similar processes, organizing these in an on-line “process handbook.” handbook is intended help people: (1) existing organizational (2) invent new processes (especially ones that take advantage information technology), (3) share ideas about practices. A key element the work analyzing at...
Despite the intense interest towards realizing Semantic Web vision, most existing RDF data management schemes are constrained in terms of efficiency and scalability. Still, growing popularity format arguably calls for an effort to offset these drawbacks. Viewed from a relational-database perspective, constraints derived very nature model, which is based on triple format. Recent research has attempted address using vertical-partitioning approach, separate two-column tables constructed each...
Software engineering researchers have long been interested in where and why bugs occur code, predicting they might turn up next. Historical bug-occurence data has key to this research. Bug tracking systems, code version histories, record when, how by whom were fixed; from these sources, datasets that relate file changes bug fixes can be extracted. These historical used test hypotheses concerning processes of introduction, also build statistical prediction models. Unfortunately, humans are...
In this paper, we formalize the problem of Basic Graph Pattern (BGP) optimization for SPARQL queries and main memory graph implementations RDF data. We define analyze characteristics heuristics selectivity-based static BGP optimization. The range from simple triple pattern variable counting to more sophisticated selectivity estimation techniques. Customized summary statistics data enable joined patterns development efficient heuristics. Using Lehigh University Benchmark (LUBM), evaluate...
When we investigate the usability and aesthetics of user interfaces, rarely take into account that what users perceive as beautiful usable strongly depends on their cultural background. In this paper, argue it is not feasible to design one interface appeals all an increasingly global audience. Instead, propose culturally adaptive systems, which automatically generate personalized interfaces correspond preferences. evaluation such system, demonstrate a majority international participants...
Adapting user interfaces to a user's cultural background can increase satisfaction, revenue, and market share. Conventional approaches catering for culture are restricted adaptations specific countries modify only limited number of interfa
Over the last few years, natural language interfaces (NLI) for databases have gained significant traction both in academia and industry. These systems use very different approaches as described recent survey papers. However, these not been systematically compared against a set of benchmark questions order to rigorously evaluate their functionalities expressive power. In this paper, we give an overview over 24 recently developed NLIs databases. Each is evaluated using curated list ten sample...
In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding effects of scientists' gender and professional status on verbosity during group meetings. Not only analytic approach but also operationalizations key variables were left unconstrained up individual analysts. For instance, could choose operationalize as job title, institutional ranking, citation counts, or some combination. To maximize transparency process by which choices are made, a...
Establishing the cause of unilateral leg pain is difficult in settings tibial diaphyseal sclerosis. This patient, a 36-year-old woman presented with pretibial for past 7 months without history trauma, infections, systemic or metabolic disease. Besides local deep tenderness, other clinical findings and blood investigations were normal. Radiograph CT scan showed both periosteal endosteal cortical thickening obliteration medulla midshaft. MRI detected marrow oedema bone revealed increased...
A data mining (DM) process involves multiple stages. simple, but typical, might include preprocessing data, applying a algorithm, and postprocessing the results. There are many possible choices for each stage, only some combinations valid. Because of large space nontrivial interactions, both novices specialists need assistance in composing selecting DM processes. Extending notions developed statistical expert systems we present prototype intelligent discovery assistant (IDA), which provides...
Empirical studies of software defects rely on links between bug databases and program code repositories. This linkage is typically based bug-fixes identified in developer-entered commit logs. Unfortunately, developers do not always report which commits perform bug-fixes. Prior work suggests that such can be a biased sample the entire population fixed bugs. The validity statistical hypotheses-testing linked data could well affected by bias. Given wide use defect data, it vital to gauge nature...
Online repositories are increasingly called on to provide access services that describe or useful behaviors. Existing techniques for finding offer low retrieval precision, returning many irrelevant matches. We introduce a novel service approach captures semantics using process models, and applies pattern-matching algorithm find the with behavior user wants. Evaluations suggest process-based queries substantially greater precision than existing approaches scale well number of being accessed.
Reasoning is essential for the development of large knowledge graphs, especially completion, which aims to infer new triples based on existing ones. Both rules and embeddings can be used graph reasoning they have their own advantages difficulties. Rule-based accurate explainable but rule learning with searching over always suffers from efficiency due huge search space. Embedding-based more scalable efficient as conducted via computation between embeddings, it has difficulty good...
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic.It can find in several settings, from Smart Cities Industry 4.0, Internet Things Social Media analytics.This year stream turns ten, and this article we analyse its growth.In first part, trace main results obtained so far, presenting most prominent studies.We start an overview relevant developed context semantic web, then extend analysis include contributions adjacent areas, such as...