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Displaying 1-50 out of 60 total
Managing Semantic Content for the Web
Found in: IEEE Internet Computing
By Amit Sheth, Clemens Bertram, David Avant, Brian Hammond, Krysztof Kochut, Yashodhan Warke
Issue Date:July 2002
pp. 80-87
<p>By associating meaning with content, the Semantic Web will facilitate search, interoperability, and the composition of complex applications. A recent Scientific American article described the Semantic Web as
From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]
Found in: IEEE Intelligent Systems
By Payam Barnaghi,Amit Sheth,Cory Henson
Issue Date:November 2013
pp. 6-11
Extending the current Internet and providing connection, communication, and internetworking between devices and physical objects, or "things," is a growing trend that's often referred to as the Internet of Things (IoT). Integrating real-world dat...
Semantic Perception: Converting Sensory Observations to Abstractions
Found in: IEEE Internet Computing
By Cory Henson,Amit Sheth,Krishnaprasad Thirunarayan
Issue Date:March 2012
pp. 26-34
An abstraction is a representation of an environment derived from sensor observation data. Generating an abstraction requires inferring explanations from an incomplete set of observations (often from the Web) and updating these explanations on the basis of...
Semantics in Location-Based Services
Found in: IEEE Internet Computing
By Sergio Ilarri,Arantza lllarramendi,Eduardo Mena,Amit Sheth
Issue Date:November 2011
pp. 10-14
No summary available.
The Cloud Agnostic e-Science Analysis Platform
Found in: IEEE Internet Computing
By Ajith Ranabahu,Paul Anderson,Amit Sheth
Issue Date:November 2011
pp. 85-89
The amount of data being generated for e-Science domains has grown exponentially in the past decade, yet the adoption of new computational techniques in these fields hasn't seen similar improvements. The presented platform can exploit the power of cloud co...
Semantics Scales Up: Beyond Search in Web 3.0
Found in: IEEE Internet Computing
By Amit Sheth
Issue Date:November 2011
pp. 3-6
Concern for scalability &#x2014; both in computational terms and in terms of human effort needed to develop semantic models and background knowledge &#x2014; has hampered the adoption of semantic techniques and the Semantic Web. This concern is mis...
Guest Editors' Introduction: Provenance in Web Applications
Found in: IEEE Internet Computing
By Geetika T. Lakshmanan, Francisco Curbera, Juliana Freire, Amit Sheth
Issue Date:January 2011
pp. 17-21
Provenance, from the French word provenir,
Semantic Web Processes: Semantics Enabled Annotation, Discovery, Composition and Orchestration of Web Scale Processes
Found in: Web Information Systems Engineering, International Conference on
By Jorge Cardoso, Amit Sheth
Issue Date:December 2003
pp. 375
This tutorial deals with the evolution of inter-Enterprise and Web scale process to support e-commerce and e-services. It taps into the promises of two of the hottest R&D and technology areas: Web services and the Semantic Web. It presents how applying...
InfoHarness: Managing Distributed, Heterogeneous Information
Found in: IEEE Internet Computing
By Kshitij Shah, Amit Sheth
Issue Date:November 1999
pp. 18-28
<p>Using metadata extraction methods, InfoHarness provides integrated, rapid access to huge amounts of heterogeneous information, regardless of type, representation, location, and medium.</p>
Characterising Concepts of Interest Leveraging Linked Data and the Social Web
Found in: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Fabrizio Orlandi,Pavan Kapanipathi,Amit Sheth,Alexandre Passant
Issue Date:November 2013
pp. 519-526
Extracting and representing user interests on the Social Web is becoming an essential part of the Web for personalisation and recommendations. Such personalisation is required in order to provide an adaptive Web to users, where content fits their preferenc...
Kino: A Generic Document Management System for Biologists Using SA-REST and Faceted Search
Found in: International Conference on Semantic Computing
By Ajith Ranabahu,Priti Parikh,Maryam Panahiazar,Amit Sheth,Flora Logan-Klumpler
Issue Date:September 2011
pp. 205-208
Document management has become an important consideration for the scientific community over the last decade. Human knowledge is central to many scientific domains, thus it is not possible to completely automate the document management process. Managing sci...
Continuous Semantics to Analyze Real-Time Data
Found in: IEEE Internet Computing
By Amit Sheth, Christopher Thomas, Pankaj Mehra
Issue Date:November 2010
pp. 84-89
The traditional semantic approach has difficulties dealing with the dynamic domains involved in social, mobile, and sensor webs. Continuous semantics, which captures changing conceptualizations and relevant knowledge, can help us model those domains and an...
Power of Clouds in Your Pocket: An Efficient Approach for Cloud Mobile Hybrid Application Development
Found in: Cloud Computing Technology and Science, IEEE International Conference on
By Ashwin Manjunatha, Ajith Ranabahu, Amit Sheth, Krishnaprasad Thirunarayan
Issue Date:December 2010
pp. 496-503
The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage o...
Semantics Centric Solutions for Application and Data Portability in Cloud Computing
Found in: Cloud Computing Technology and Science, IEEE International Conference on
By Ajith Ranabahu, Amit Sheth
Issue Date:December 2010
pp. 234-241
Cloud computing has become one of the key considerations both in academia and industry. Cheap, seemingly unlimited computing resources that can be allocated almost instantaneously and pay-as-you-go pricing schemes are some of the reasons for the success of...
A Study in Hadoop Streaming with Matlab for NMR Data Processing
Found in: Cloud Computing Technology and Science, IEEE International Conference on
By Kalpa Gunaratna, Paul Anderson, Ajith Ranabahu, Amit Sheth
Issue Date:December 2010
pp. 786-789
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists...
Semantic Modeling for Cloud Computing, Part 2
Found in: IEEE Internet Computing
By Amit Sheth, Ajith Ranabahu
Issue Date:July 2010
pp. 81-84
Part 2 of this two-part article discusses opportunities for semantic models in cloud computing. Particular areas in which these models can help are functional portability, data modeling, and service enrichment. Part 1 is available at http://doi.ieeecompute...
Semantic Modeling for Cloud Computing, Part 1
Found in: IEEE Internet Computing
By Amit Sheth, Ajith Ranabahu
Issue Date:May 2010
pp. 81-83
Part 1 of this two-part article discusses challenges related to cloud computing, cloud interoperability, and multidimensional analysis of cloud-modeling requirements.
Computing for Human Experience: Semantics-Empowered Sensors, Services, and Social Computing on the Ubiquitous Web
Found in: IEEE Internet Computing
By Amit Sheth
Issue Date:January 2010
pp. 88-91
Computing for human experience will employ a suite of technologies to nondestructively and unobtrusively complement and enrich normal human activities, with minimal explicit concern or effort on the humans' part.
Monetizing User Activity on Social Networks - Challenges and Experiences
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Meenakshi Nagarajan, Kamal Baid, Amit Sheth, Shaojun Wang
Issue Date:September 2009
pp. 92-99
This work summarizes challenges and experiences in monetizing user activity on public forums on social network sites. We present a approach that identifies the monetization potential of user posts and eliminates off-topic content to identify the most relev...
Citizen Sensing, Social Signals, and Enriching Human Experience
Found in: IEEE Internet Computing
By Amit Sheth
Issue Date:July 2009
pp. 87-92
In this installment of Semantics &amp; Services, Amit Sheth introduces the exciting paradigm of citizen sensing enabled by mobile sensors and human computing—that is, humans as citizens on the ubiquitous Web, acting as sensors and sharing their observa...
Semantics-Empowered Social Computing
Found in: IEEE Internet Computing
By Amit Sheth, Meenakshi Nagarajan
Issue Date:January 2009
pp. 76-80
User-generated textual content on social media has unique characteristics owing to the interpersonal and interactional nature of the communication medium. Web 3.0 applications that aim to automatically create accurate annotations from user-generated conten...
Semantic Sensor Web
Found in: IEEE Internet Computing
By Amit Sheth, Cory Henson, Satya S. Sahoo
Issue Date:July 2008
pp. 78-83
Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. ...
Semantic Provenance for eScience: Managing the Deluge of Scientific Data
Found in: IEEE Internet Computing
By Satya S. Sahoo, Amit Sheth, Cory Henson
Issue Date:July 2008
pp. 46-54
Provenance information in eScience is metadata that's critical to effectively manage the exponentially increasing volumes of scientific data from industrial-scale experiment protocols. Semantic provenance, based on domain-specific provenance ontologies, le...
Semantic Web Services, Part 2
Found in: IEEE Intelligent Systems
By David Martin, John Domingue, Amit Sheth, Steve Battle, Katia Sycara, Dieter Fensel
Issue Date:November 2007
pp. 8-15
Semantic Web services (SWS) has been a vigorous technology research area for about six years, producing a great deal of innovative work. Part 2 of this Trends & Controversies department continues exploring the state of the art, current practices, and f...
Semantically Annotating a Web Service
Found in: IEEE Internet Computing
By Kunal Verma, Amit Sheth
Issue Date:March 2007
pp. 83-85
In the past few years, service-oriented architecture (SOA) has transitioned from a partially formed vision into a widely implemented paradigm, with Web services (WS) being the forerunners to implementing SOA-based solutions. But even though the current tre...
Optimal Adaptation in Web Processes with Coordination Constraints
Found in: Web Services, IEEE International Conference on
By Kunal Verma, Prashant Doshi, Karthik Gomadam, John Miller, Amit Sheth
Issue Date:September 2006
pp. 257-264
We present methods for optimally adapting Web processes to exogenous events while preserving inter-service constraints that necessitate coordination. For example, in a supply chain process, orders placed by a manufacturer may get delayed in arriving. In re...
A Semantic Template Based Designer for Web Processes
Found in: Web Services, IEEE International Conference on
By Ranjit Mulye, John Miller, Kunal Verma, Karthik Gomadam, Amit Sheth
Issue Date:July 2005
pp. 461-469
The growing popularity of Service Oriented Computing based on Web services standards is creating a need for paradigms to represent and design business processes. Significant work has been done in the representation aspects with regards to WSBPEL. However, ...
Discovery of Web Services in a Federated Registry Environment
Found in: Web Services, IEEE International Conference on
By Kaarthik Sivashanmugam, Kunal Verma, Amit Sheth
Issue Date:June 2004
pp. 270
The potential of a large scale growth of private and semi-private registries is creating the need for an infrastructure which can support discovery and publication over a group of autonomous registries. Recent versions of UDDI have made changes to accommod...
Web Services: Been There, Done That?
Found in: IEEE Intelligent Systems
By Steffen Staab, Wil van der Aalst, V. Richard Benjamins, Amit Sheth, John A. Miller, Christoph Bussler, Alexander Maedche, Dieter Fensel, Dennis Gannon
Issue Date:January 2003
pp. 72-85
No summary available.
Building Successful Human-Centered Systems
Found in: IEEE Multimedia
By Vipul Kashyap, Amit Sheth
Issue Date:July 2001
pp. 102-103
No summary available.
Automatic Domain Identification for Linked Open Data
Found in: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Sarasi Lalithsena,Pascal Hitzler,Amit Sheth,Prateek Jain
Issue Date:November 2013
pp. 205-212
Linked Open Data (LOD) has emerged as one of the largest collections of interlinked structured datasets on the Web. Although the adoption of such datasets for applications is increasing, identifying relevant datasets for a specific task or topic is still c...
Physical-Cyber-Social Computing: An Early 21st Century Approach
Found in: IEEE Intelligent Systems
By Amit Sheth,Pramod Anantharam,Cory Henson
Issue Date:January 2013
pp. 78-82
Technology plays an increasingly important role in facilitating and improving personal and social activities, engagements, decision making, interaction with physical and social worlds, insight generation, and just about anything that humans, as intelligent...
Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Sujan Perera,Cory Henson,Krishnaprasad Thirunarayan,Amit Sheth,Suhas Nair
Issue Date:October 2012
pp. 1-8
Semantic computing technologies have matured to be applicable to many critical domains, such as life sciences and health care. However, the key to their success is the rich domain knowledge which consists of domain concepts and relationships, whose creatio...
Extending Semantic Provenance into the Web of Data
Found in: IEEE Internet Computing
By Jun Zhao, Satya S. Sahoo, Paolo Missier, Amit Sheth, Carole Goble
Issue Date:January 2011
pp. 40-48
In this article, the authors provide an example workflow—and a simple classification of user questions on the workflow's data products—to combine and interchange contextual metadata through a semantic data model and infrastructure. They also analyze their ...
Growing Fields of Interest - Using an Expand and Reduce Strategy for Domain Model Extraction
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Christopher Thomas, Pankaj Mehra, Roger Brooks, Amit Sheth
Issue Date:December 2008
pp. 496-502
Domain hierarchies are widely used as models underlying information retrieval tasks. Formal ontologies and taxonomies enrich such hierarchies further with properties and relationships but require manual effort; therefore they are costly to maintain, and of...
Traveling the Semantic Web through Space, Time, and Theme
Found in: IEEE Internet Computing
By Amit Sheth, Matthew Perry
Issue Date:March 2008
pp. 81-86
So far, Semantic Web researchers have focused most of their attention on the thematic dimension, but increasing amounts of spatial and temporal data are appearing on the Web. In this installment of Semantics and Services, the authors further develop the id...
Specifying Interdatabase Dependencies in a Multidatabase Environment
Found in: Computer
By Marek Rusinkiewicz, Amit Sheth, George Karabatis
Issue Date:December 1991
pp. 46-53
<p>The problem of interdatabase dependencies and the effect they have on applications updating interdependent data are addressed. A model that allows specifications of constraints among multiple databases in a declarative fashion is proposed. The sep...
Transforming Big Data into Smart Data: Deriving value via harnessing Volume, Variety, and Velocity using semantic techniques and technologies
Found in: 2014 IEEE 30th International Conference on Data Engineering (ICDE)
By Amit Sheth
Issue Date:March 2014
pp. 2
Big Data has captured a lot of interest in industry, with anticipation of better decisions, efficient organizations, and many new jobs. Much of the emphasis is on the challenges of the four V's of Big Data: Volume, Variety, Velocity, and Veracity, and tech...
Application Portability in Cloud Computing: An Abstraction Driven Perspective
Found in: IEEE Transactions on Services Computing
By Ajith Ranabahu,E. Michael Maximilien,Amit Sheth,Krishnaprasad Thirunarayan
Issue Date:April 2013
pp. 1
Cloud computing has changed the way organizations create, manage, and evolve heir applications. While the abundance of computing resources at low cost opens up many possibilities for migrating applications to the cloud, this migration also comes at a price...
Challenges in understanding clinical notes: why NLP engines fall short and where background knowledge can help
Found in: Proceedings of the 2013 international workshop on Data management & analytics for healthcare (DARE '13)
By Amit Sheth, Krishnaprasad Thirunarayan, Sujan Perera, Neil Shah, Suhas Nair
Issue Date:November 2013
pp. 21-26
Understanding of Electronic Medical Records(EMRs) plays a crucial role in improving healthcare outcomes. However, the unstructured nature of EMRs poses several technical challenges for structured information extraction from clinical notes leading to automa...
A statistical and schema independent approach to identify equivalent properties on linked data
Found in: Proceedings of the 9th International Conference on Semantic Systems (I-SEMANTICS '13)
By Amit Sheth, Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Sanjaya Wijeratne
Issue Date:September 2013
pp. 33-40
Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community recently. Currently it consists of approximately 295 interlinked datasets with over 50 billion triples including 500 million links, and continues to expand in size....
Physical cyber social computing for human experience
Found in: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS '13)
By Amit Sheth, Pramod Anantharam
Issue Date:June 2013
pp. 1-7
Computing has a critical role in solving some of the grand challenges spanning health and wellbeing, sustainability, and prevention of crime. Traditionally, computing has focused on a single narrow view of the problem to provide solutions ignoring the esse...
Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception
Found in: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS '13)
By Amit Sheth, Payam Barnaghi, Pramod Anantharam
Issue Date:June 2013
pp. 1-5
This tutorial presents tools and techniques for effectively utilizing the Internet of Things (IoT) for building advanced applications, including the Physical-Cyber-Social (PCS) systems. The issues and challenges related to IoT, semantic data modelling, ann...
Utility-driven evolution recommender for a constrained ontology
Found in: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS '13)
By Amit Sheth, Biplav Srivastava, Pramod Anantharam
Issue Date:June 2013
pp. 1-11
Ontology evolution continues to be an important problem that needs further research. Key challenges in ontology evolution and creation of a highly consumable ontology include accomodating: (a) the subtle changes in the meaning of a model element over time,...
Citizen sensor data mining, social media analytics and development centric web applications
Found in: Proceedings of the 20th international conference companion on World wide web (WWW '11)
By Amit Sheth, Meena Nagarajan, Selvam Velmurugan
Issue Date:March 2011
pp. 289-290
With the rapid rise in the popularity of social media (500M+ Facebook users, 100M+ twitter users), and near ubiquitous mobile access (4+ billion actively-used mobile phones), the sharing of observations and opinions has become common-place (nearly 100M twe...
Pattern-based synonym and antonym extraction
Found in: Proceedings of the 48th Annual Southeast Regional Conference (ACM SE '10)
By Amit Sheth, Christopher Thomas, Victor Chan, Wenbo Wang
Issue Date:April 2010
pp. 1-4
Many research studies adopt manually selected patterns for semantic relation extraction. However, manually identifying and discovering patterns is time consuming and it is difficult to discover all potential candidates. Instead, we propose an automatic pat...
Enhancing process-adaptation capabilities with web-based corporate radar technologies
Found in: Proceedings of the first international workshop on Ontology-supported business intelligence (OBI '08)
By Alex Kass, Amit Sheth, Kunal Verma, Peter Z. Yeh, Prateek Jain
Issue Date:October 2008
pp. 1-6
Dynamic business processes are capable of adapting themselves to internal events but lack the ability to adapt to external events. Corporate radars are capable of mining the Web for external events of interest to produce structured representations of these...
Scalable semantic analytics on social networks for addressing the problem of conflict of interest detection
Found in: ACM Transactions on the Web (TWEB)
By Amit Sheth
Issue Date:February 2008
pp. 1-29
In this article, we demonstrate the applicability of semantic techniques for detection of Conflict of Interest (COI). We explain the common challenges involved in building scalable Semantic Web applications, in particular those addressing connecting-the-do...
Estimating the cardinality of RDF graph patterns
Found in: Proceedings of the 16th international conference on World Wide Web (WWW '07)
By Amit Sheth, Angela Maduko, Kemafor Anyanwu, Paul Schliekelman
Issue Date:May 2007
pp. 1233-1234
Most RDF query languages allow for graph structure search through a conjunction of triples which is typically processed using join operations. A key factor in optimizing joins is determining the join order which depends on the expected cardinality of inter...
Altering document term vectors for classification: ontologies as expectations of co-occurrence
Found in: Proceedings of the 16th international conference on World Wide Web (WWW '07)
By Amit Sheth, Arif Merchant, Kimberly Keeton, Marcos Aguilera, Meenakshi Nagarajan, Mustafa Uysal
Issue Date:May 2007
pp. 1225-1226
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in Ontologies. Preliminary evaluations indicate that the new approach generally i...
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