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Semantic Concept Discovery over Event Databases [chapter]

Oktie Hassanzadeh, Shari Trewin, Alfio Gliozzo
2018 Lecture Notes in Computer Science  
In this presentation, we describe a framework for concept discovery over event databases using semantic technologies.  ...  In particular: -A unified view over multiple event databases and a background RDF knowledge base is achieved through semantic link discovery and annotation.  ...  In this presentation, we describe a framework for concept discovery over event databases using semantic technologies.  ... 
doi:10.1007/978-3-319-93417-4_19 fatcat:njxowo3qtzel5njglthwhrjyne

An Outlook on Semantic Business Process Mining and Monitoring [chapter]

A. K. Alves de Medeiros, C. Pedrinaci, W. M. P. van der Aalst, J. Domingue, M. Song, A. Rozinat, B. Norton, L. Cabral
2007 Lecture Notes in Computer Science  
Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Semantic Web and Semantic Web Services (SWS) technologies in order to increase and enhance the level of automation  ...  The use of semantic information can lead to dramatic enhancements in the state-of-the-art in analysis techniques.  ...  The techniques that focus on discovery mine information based on data in an event log only.  ... 
doi:10.1007/978-3-540-76890-6_52 fatcat:mjqzfh5cnbexhbhxrdpul2lspq

Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images

Jiawei Chen, Yin Cui, Guangnan Ye, Dong Liu, Shih-Fu Chang
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
We show significant performance gains of the proposed concept discovery method over different video event detection tasks including supervised event modeling over concept space and semantic based zero-shot  ...  In this paper, we propose an automatic semantic concept discovery scheme by exploiting Internet images and their associated tags.  ...  CONCLUSION We have introduced an automatic event driven concept discovery method for semantic based video event detection.  ... 
doi:10.1145/2578726.2578729 dblp:conf/mir/ChenCYLC14 fatcat:hcu3ctla35dh5enksh5cqlhp7u

Semi-automatic audio semantic concept discovery for multimedia retrieval

Yipei Wang, Shourabh Rawat, Florian Metze
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
However, the humandefined concepts might fail to cover the data and there is a potential gap between these concepts and the semantics expected from user's query.  ...  Previous work explored semantic concepts for content analysis to assist retrieval.  ...  Hierarchical Sub-categories Discovery Using method in part 2.2, each audio segment can be mapped to a distribution over the acoustic descriptors.  ... 
doi:10.1109/icassp.2014.6853822 dblp:conf/icassp/WangRM14a fatcat:h5od6ae3njadbbut3czjlavwgi

Semantic-enhanced resource discovery for CoAP-based sensor networks

Filippo Gramegna, Saverio Ieva, Giuseppe Loseto, Agnese Pinto
2013 5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI  
Data mining procedures were also exploited to detect high-level events from gathered raw data. A case study on environmental monitoring has been proposed to test the effectiveness of our approach.  ...  This paper presents a complete Semantic Sensor Network (SSN) framework, supporting a resource discovery based on non-standard inferences.  ...  Then it is possible to choose the semantic task to perform (e.g., discovery via Concept Covering), the semantic threshold and the maximum discovery range.  ... 
doi:10.1109/iwasi.2013.6576093 dblp:conf/iwasi/GramegnaILP13 fatcat:ru7n7xnogfafrgzftibla3xdjy

Resource Annotation, Dissemination and Discovery in the Semantic Web of Things: A CoAP-Based Framework

M. Ruta, F. Scioscia, A. Pinto, E. Di Sciascio, F. Gramegna, S. Ieva, G. Loseto
2013 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing  
A computationally efficient data mining is also integrated in the framework to process raw data gathered from the environment in order to detect high-level events and characterize them with machine-understandable  ...  The Semantic Web of Things (SWoT) vision aims to provide more advanced resource management and discovery w.r.t. standard Internet of Things architectures, by means of the integration of knowledge representation  ...  This feature allows also the adoption of data fusion and mining techniques over data extracted from sensors useful to nodes managing high-level applications. 7 In order to support a semantic-based resource  ... 
doi:10.1109/greencom-ithings-cpscom.2013.103 dblp:conf/greencom/RutaSPSGIL13 fatcat:2ftstctznnavhhgryzx7ygdb4u

Bio Crm: A Data Model For Representing Biographical Data For Prosopographical Research [article]

Jouni Tuominen, Eero Hyvönen, Petri Leskinen
2017 Zenodo  
modeled as a role concept hierarchy. 3) The model can be used as a basis for semantic data validation and enrichment by reasoning. 4) The enriched data conforming to Bio CRM is targeted to be used by SPARQL  ...  In both use cases, a semantic data model for harmonizing and interlinking heterogeneous data from different sources is needed.  ...  modeled as a role concept hierarchy. 3) The model can be used as a basis for semantic data validation and enrichment by reasoning. 4) The enriched data conforming to Bio CRM is targeted to be used by SPARQL  ... 
doi:10.5281/zenodo.1040711 fatcat:uwve3msgabgvpmakt6gtr5l27i

Guest Editorial: Semantic Concept Discovery in MM Data

Xiaojun Chang, Yan Yan, Liqiang Nie
2018 Multimedia tools and applications  
Much research attention has been paid to discover semantic concepts in multimedia data.  ...  Another focus of this special issue will be recent advances on semantic event detection, which refers to detect unseen event without any training data.  ...  He has authored/co-authored over 40 scientific papers in these areas, which are published in the IEEE Transactions journals (T-PAMI/T-NNLS/ T-CYB/T-KDE) and top-tier computer vision and machine learning  ... 
doi:10.1007/s11042-018-5646-9 fatcat:zlgi5gwps5dk5nnu5m5c3mtdme

Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance [article]

Scott Alexander Malec, Elmer Victor Bernstam, Peng Wei, Trevor Cohen, Richard David Boyce
2020 medRxiv   pre-print
In previous work, we have shown that semantic constraint search over computable knowledge extracted from the literature can be useful for reducing confounding bias in statistical models of EHR-derived  ...  observational clinical data.  ...  Discovery patterns define semantic constraints for identifying concepts related to each other in particular ways [46] .  ... 
doi:10.1101/2020.07.08.20113035 fatcat:symhqu3l25ayjdoxy457del6jq

Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain [chapter]

Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Syed Islam, Elyes Lamine
2017 Advances in Intelligent Systems and Computing  
The approach involves mapping of the resulting learning model derived from mining event data about a learning process by semantically annotating the process elements with concepts they represent in real  ...  Our goal is to extract streams of event logs from a learning execution environment and describe formats that allows for mining and improved process analysis of the captured data.  ...  Mining Event Data: Case study of a Research Process Domain The purpose for designing the Semantic Learning Process Mining algorithm is to extract, semantically prepare and transform event data of a learning  ... 
doi:10.1007/978-3-319-60618-7_61 fatcat:lnxmdmniyra23faossvf4bo5k4

Building the Semantic Web of Things through a Dynamic Ontology

Francesco Antoniazzi, Fabio Viola
2019 IEEE Internet of Things Journal  
Index Terms-Internet of Things (IoT), linked data, ontology, Semantic Web, Web of Things (WoT).  ...  A practical example will give a proof of concept and overall evaluation, showing how the dynamic setup proposed can foster interoperability at information level allowing on the one hand smart discovery  ...  Then, the overall role of semantics in this framework is limited to discovery, data analytics, and interpretation of large-scale data.  ... 
doi:10.1109/jiot.2019.2939882 fatcat:75budqyv45aqvlq2xp4x2jfm6u

Information Mining from Multimedia Databases

Ling Guan, Horace HS Ip, Paul H Lewis, Hau San Wong, Paisarn Muneesawang
2006 EURASIP Journal on Advances in Signal Processing  
Radhakrishnan et al. propose a contentadaptive representation framework for event discovery using audio features from "unscripted" multimedia such as sports and surveillance data.  ...  original signal-based representation, and the discovery of possible relationships between these events in the form of high-level association rules.  ...  Specifically, modeling at the two separate levels of audio events and semantic context is proposed to bridge the gap between low-level audio features and semantic concepts.  ... 
doi:10.1155/asp/2006/49073 fatcat:louxnv5c5bggrdeyvjw6qavi4m

A new wave of innovation in Semantic web tools for drug discovery

Samantha Kanza, Jeremy Graham Frey
2019 Expert Opinion on Drug Discovery  
The use of semantic web technologies to aid drug discovery has gained momentum over recent years.  ...  Researchers in this domain have realized that semantic web technologies are key to dealing with the high levels of data for drug discovery.  ...  [98] illustrating the added value of using Semantic web technologies for drug discovery.  ... 
doi:10.1080/17460441.2019.1586880 pmid:30884989 fatcat:qsss5sv2jndo3dnlr7medsushy

A data annotation architecture for semantic applications in virtualized wireless sensor networks

Imran Khan, Rifat Jafrin, Fatima Zahra Errounda, Roch Glitho, Noel Crespi, Monique Morrow, Paul Polakos
2015 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)  
The key reason is that semantic applications provisioning mandates data annotation. Unfortunately it is no easy task to annotate data collected in virtualized WSNs.  ...  This paper proposes a data annotation architecture for semantic applications in virtualized heterogeneous WSNs.  ...  ACKNOWLEDGMENT This work is partially supported by CISCO systems through grant CG-576719, and by the Canadian Natural Science and Engineering Research Council (NSERC) through the Discovery Grant program  ... 
doi:10.1109/inm.2015.7140273 dblp:conf/im/KhanJEGCMP15 fatcat:ch2kvfrygvgs3b44tbgnhmay4q

Semantic Lifting and Reasoning on the Personalised Activity Big Data Repository for Healthcare Research

Hong Qing Yu, Xia Zhao, Zhikun Deng, Feng Dong
2017 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)  
The major contributions of the work is a comprehensive big data and semantic knowledge discovery framework which integrates data from varied data resources.  ...  However, there are many challenges for data engineering and knowledge discovery research to enable efficient extraction of knowledge from data that is collected from heterogonous devices and applications  ...  Aggregation research problems include automatically filling in missing data, correctly refining data and handling uncertainty in data that is gathered from different resources but for the same semantic  ... 
doi:10.1109/ithings-greencom-cpscom-smartdata.2017.125 dblp:conf/ithings/YuZDD17 fatcat:rjajk4a2sza3ff7fanpa5odfou
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