Now showing items 1-9 of 9
The finite implication problem for expressive XML keys: Foundations, applications, and performance evaluation
The increasing popularity of XML for persistent data storage, processing and exchange has triggered the demand for efficient algorithms to manage XML data. Both industry and academia have long since recognized the importance ...
Approximate Semantic Matching of Events for the Internet of Things
Event processing follows a decoupled model of interaction in space, time, and synchronization. However,another dimension of semantic coupling also exists and poses a challenge to the scalability of event processing systems ...
Semi-Supervised Technical Term Tagging With Minimal User Feedback
In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger, that is based on Liblinear Support Vector Machines and employs linguistic ...
Thematic Event Processing
Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of ...
Evaluation of Technology Term Recognition with Random Indexing
In this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We employ the ...
Extracting Information for Context-aware Meeting Preparation
People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships ...
A Speech Based Approach to Surveillance Video Retrieval
This paper describes the anatomy of a pilot surveillance system with a speech-based interface for content-based retrieval of video data. The proposed system relies on an ontology-based information sharing architecture and ...
GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research
Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...
Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
[no abstract available]