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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

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  
The main focus of this issue is on information mining techniques for the extraction and interpretation of semantic contents in multimedia databases.  ...  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

Recent Trends and Research Issues in Video Association Mining

Vijayakumar, Nedunchezhian
2011 The International Journal of Multimedia & Its Applications  
With the ever-growing digital libraries and video databases, it is increasingly important to understand and mine the knowledge from video database automatically.  ...  The purpose of this paper is to provide general framework of mining the association rules from video database.  ...  Finding desired information in a video clip or in a video database is still a difficult and laborious task due to its semantic gap between the low-level feature and high-level video semantic concepts.  ... 
doi:10.5121/ijma.2011.3405 fatcat:otbefjxy4vaynmosfmqmre5qai

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


Amal Kaluarachchi, Debjani Roychoudhury, Aparna S. Varde, Gerhard Weikum
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
This paper demonstrates a system called SITAC based on our proposed approach to automate the discovery of concepts (called SITACs) in text sources that are identical semantically but alter their names  ...  over time.  ...  ., Semantically Identical Temporally Altering Concepts, in order to perform time-aware translation of user queries.  ... 
doi:10.1145/1951365.1951442 dblp:conf/edbt/KaluarachchiRVW11 fatcat:7pcsw52tazepjlgsclrnbuys5a

A semantic-based workflow for biomedical literature annotation

Pedro Sernadela, José Luís Oliveira
2017 Database: The Journal of Biological Databases and Curation  
A semantic-based workflow for biomedical literature annotation.  ...  In this endeavour, annotation tools can assist in the identification of biomedical concepts and their relationships, providing faster reading and curation processes, with reduced costs.  ...  searches over the knowledge base.  ... 
doi:10.1093/database/bax088 pmid:29220478 pmcid:PMC5691355 fatcat:tbt65j3vwfbefhhhpdx6lvapu4

An Overview : Temporal - Side of Sequential Patterns Discovery

Ahmed Aburodes Assaid Alkilany
2013 International Journal of Data Mining & Knowledge Management Process  
Temporal data means a data which have incorporated with the concept of time, to maintain past, present and future data.  ...  In this paper temporal data mining concepts and tasks and mining sequential patterns algorithms are discussed and evaluated.  ...  Knowledge discovery in temporal databases thus catches the attention of researchers [5] , [6] .  ... 
doi:10.5121/ijdkp.2013.3101 fatcat:aft7sf6tm5gb7hxilakoi6dn2y

A survey of temporal knowledge discovery paradigms and methods

J.F. Roddick, M. Spiliopoulou
2002 IEEE Transactions on Knowledge and Data Engineering  
At the same time, interest in temporal databases has been increasing and a growing number of both prototype and implemented systems are using an enhanced temporal understanding to explain aspects of behavior  ...  ACKNOWLEDGMENTS This work was conceived while the authors attended the Integrating Spatial and Temporal Databases Workshop at Schloss Dagstuhl in November 1998.  ...  In particular, association rule discovery is not performed over the whole database but only over the transactions recorded within a user-specified time window.  ... 
doi:10.1109/tkde.2002.1019212 fatcat:vcofptm3i5aozake7s35w2pbde

myGrid: personalised bioinformatics on the information grid

R. D. Stevens, A. J. Robinson, C. A. Goble
2003 Bioinformatics  
In particular, semantically rich metadata expressed using ontologies necessary to discover, select and compose services into dynamic workflows.  ...  Information Grid, and provide middleware layers that make it appropriate for the needs of bioinformatics. my Grid is building high level services for data and application integration such as resource discovery  ...  workflow design Third party annotation Ontology service Event notification Semantic discovery Syntactic discovery Device access Information extraction Knowledge Metadata Annotation  ... 
doi:10.1093/bioinformatics/btg1041 pmid:12855473 fatcat:q7rys4q5bbh43aq66t6rdnnxzi

The Concept Object Web for Knowledge Management [chapter]

James Starz, Brian Kettler, Peter Haglich, Jason Losco, Gary Edwards, Mark Hoffman
2005 Lecture Notes in Computer Science  
The Concept Object Web 1 is a prototype application for knowledge/intelligence management that aggregates data from text documents, XML files, and databases so that end-users can visually discover and  ...  The Semantic Web is a difficult concept for typical end-users to comprehend. There is a lack of widespread understanding on how the Semantic Web could be used in day-to-day applications.  ...  Search and Discovery Over the years we have found that most users are simply not comfortable with Semantic Web style queries.  ... 
doi:10.1007/11574620_74 fatcat:corsa6tzbbculkd3of6uy6asu4

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.  ...  Areas covered: This review focuses on explaining how semantic web technologies are being used to aid advances in 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

Processing Schedules Using Distributed Ontologies on the Semantic Web [chapter]

Terry R. Payne, Rahul Singh, Katia Sycara
2002 Lecture Notes in Computer Science  
In addition, we describe how web-service discovery mechanisms are used when new concepts are encountered.  ...  Translation services, which are used to translate unknown concepts into known concepts, which are located using a DAML-S based service discovery mechanisms.  ...  In this paper, we present a domain specific agent -the RETSINA Calendar Agent (RCal ), which understands semantic markup for schedules and events, and show how service discovery using DAML-S can be employed  ... 
doi:10.1007/3-540-36189-8_16 fatcat:4rtg7cvgi5czrps5k2rq62y2hi

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
[55] developed a video semantic concept discovery framework that utilizes multimodal content analysis and association rule mining technique to discover the semantic concepts from video data.  ...  semantic concepts.  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e

A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data [chapter]

Alasdair J. G. Gray, Raúl García-Castro, Kostis Kyzirakos, Manos Karpathiotakis, Jean-Paul Calbimonte, Kevin Page, Jason Sadler, Alex Frazer, Ixent Galpin, Alvaro A. A. Fernandes, Norman W. Paton, Oscar Corcho (+4 others)
2011 Lecture Notes in Computer Science  
In this paper we use a flood emergency response planning application to identify requirements for a semantic sensor web.  ...  We propose a generic service architecture to satisfy the requirements that uses semantic annotations to support well-informed interactions between the services.  ...  Semantic Registry Service The registry service supports the discovery of relevant services.  ... 
doi:10.1007/978-3-642-21064-8_21 fatcat:ml6em6zxrbetflufcgfx5ahm4y

DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases

Núria Queralt-Rosinach, Janet Piñero, Àlex Bravo, Ferran Sanz, Laura I. Furlong
2016 Bioinformatics  
Motivation: DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web.  ...  The information on GDAs included in DisGeNET-RDF is interlinked to other biomedical databases to support the development of bioinformatics approaches for translational research through evidence-based exploitation  ...  The emerging Semantic Web is gaining momentum in Life Sciences as it provides standards to set a semantic and syntactic interoperable infrastructure for data integration over the Web.  ... 
doi:10.1093/bioinformatics/btw214 pmid:27153650 pmcid:PMC4937199 fatcat:mg37up7ya5g37l7t3tftxea2bq
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