A5063111542- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Business Process Modeling and Analysis
- Data Quality and Management
- Data Management and Algorithms
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
- Data Mining Algorithms and Applications
- AI-based Problem Solving and Planning
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Cloud Computing and Resource Management
- Human Mobility and Location-Based Analysis
- Petri Nets in System Modeling
- Traffic Prediction and Management Techniques
- Topic Modeling
- Big Data and Business Intelligence
- Advanced Data Storage Technologies
- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
- Natural Language Processing Techniques
- Scientific Computing and Data Management
- Privacy-Preserving Technologies in Data
Technion – Israel Institute of Technology
2016-2025
Utrecht University
2020
German Research Centre for Artificial Intelligence
2015
IBM Research - Haifa
2008
Rutgers, The State University of New Jersey
1998-2003
Rutgers Sexual and Reproductive Health and Rights
1997-2002
University of Toronto
1996-2002
Blockchain technology offers a sizable promise to rethink the way interorganizational business processes are managed because of its potential realize execution without central party serving as single point trust (and failure). To stimulate research on this and limits thereof, in article, we outline challenges opportunities blockchain for process management (BPM). We first reflect how blockchains could be used context established BPM lifecycle second they might become relevant beyond....
Entity Resolution is a core task for merging data collections. Due to its quadratic complexity, it typically scales large volumes of through blocking: similar entities are clustered into blocks and pair-wise comparisons executed only between co-occurring entities, at the cost some missed matches. There numerous blocking methods, aim this work offer comprehensive empirical survey, extending dimensions comparison beyond what commonly available in literature. We consider 17 state-of-the-art...
It may be tempting for researchers to stick incremental extensions of their current work plan future research activities. Yet there is also merit in realizing the grand challenges one’s field. This paper presents an overview nine major problems Business Process Management discipline. These have been collected by open call community, discussed and refined a workshop setting, described here detail, including motivation why these are worth investigating. serve purpose inspiring both novice...
AI-augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution business processes with aim making these more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs discusses research challenges that need to be surmounted realize this vision. To end, we define concept ABPMS, outline lifecycle within discuss core...
We propose a new problem we refer to as goal recognitiondesign (grd), in which take domain theory and set ofgoals ask the following questions: what extent do theactions performed by an agent within model reveal its objective, is best way modify so thatany acting reveals objective early aspossible. Our contribution introduction of measure call worst case distinctiveness (wcd) with weassess grd model. The wcd represents maximal lengthof prefix optimal path may system before it becomes clear at...
In recent years, there has been a growing need for active systems that can react automatically to events. Some events are generated externally and deliver data across distributed systems, while others materialized by the system itself. Event materialization is hampered uncertainty may be attributed unreliable sources networks, or inability determine with certainty whether an event actually occurred. Two main obstacles exist when designing solution problem of uncertainty. First, should...
There is a growing need for systems that react automatically to events. While some events are generated externally and deliver data across distributed systems, others be derived by the system itself based on available information. Event derivation hampered uncertainty attributed causes such as unreliable sources or inability determine with certainty whether an event has actually occurred, given Two main challenges exist when designing solution under uncertainty. First, should scale heavy...
A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and resolution interoperability issues among shared data. However, despite years research in governance management, trustability is still affected by absence transparent traceable data-driven pipelines. In this work, we focus on requirements challenges DEs face when ensuring transparency. Requirements are derived from organizational as well broader legal...
Top- K queries provide a ranked answer using score that can either be given explicitly or computed from tuple values. Recommender systems use scores, based on user feedback items with which they interact, to top- queries. Such scores pose the challenge of correctly ranking elements are more often than not, uncertain. In this work, we address uncertain scores. We propose model inherent uncertainty in provided data and consider distribution instead single score. Rooted works database...
We propose the use of application semantics to enhance process semantic reconciliation. Application involves those elements business reasoning that affect way concepts are presented users: their layout, and so on. In particular, we pursue in this article notion precedence, which temporal constraints determine order user. Existing matching algorithms either syntactic means (such as term domain matching) or model means, structural information is provided by specific data process. The novelty...
Goal recognition design involves the offline analysis of goal models by formulating measures that assess ability to perform within a model and finding efficient ways compute optimize them. In this work we present for non-optimal agents, which extends previous accounting agents behave non-optimally either intentionally or naıvely. The includes new generalized worst case distinctiveness (wcd) measure. For two special cases sub-optimal methods calculating wcd, part are based on novel...