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- Semantic Web (42)
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- Social Media (12)
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- Semantic Analytics (9)
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- Data Mining (5)
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- Privacy (5)
- Semantic Association (5)
- Semantic Associations (5)
- Semantic Perception (5)
- Sensor Web Enablement (5)
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Articles 421 - 450 of 540
Full-Text Articles in OS and Networks
Indexing Genomic Databases, Gina Cooper, Michael L. Raymer, Travis E. Doom, Dan E. Krane, Natsuhiko Futamura
Indexing Genomic Databases, Gina Cooper, Michael L. Raymer, Travis E. Doom, Dan E. Krane, Natsuhiko Futamura
Kno.e.sis Publications
Current biological sequence comparison tools utilize full database searches to find approximate matches between a database and a query. A new approach to sequence comparisons can be performed by indexing the database using a novel indexing scheme. An indexed scheme can immediately eliminate highly mismatched sequences thereby improving performance and accuracy. iBlast is proposed as an indexed version of BLAST. In its initial implementation, iBlast uses a sequence-based index to catalog genomic databases in an NCR Teradata RDBMS. Several types of indexes and querying methods are explored to determine the most efficient solution utilizing the parallel nature of the Teradata …
Quality Of Service For Workflows And Web Service Processes, Jorge Cardoso, Amit P. Sheth, John A. Miller, Jonathan Arnold, Krzysztof J. Kochut
Quality Of Service For Workflows And Web Service Processes, Jorge Cardoso, Amit P. Sheth, John A. Miller, Jonathan Arnold, Krzysztof J. Kochut
Kno.e.sis Publications
Workflow management systems (WfMSs) have been used to support various types of business processes for more than a decade now. In workflows or Web processes for e-commerce and Web service applications, suppliers and customers define a binding agreement or contract between the two parties, specifying quality of service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of services. The management of QoS metrics directly impacts the success of organizations participating in e-commerce. Therefore, when services or products are created or managed using workflows or Web processes, the underlying workflow engine must accept …
Early Work In Database Research On Schema Mapping/Merging/Transformation, Semantic Heterogeneity, And Use Of Ontology And Description Logics For Schematic And Semantic Integration, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Exploiting Syntactic, Semantic And Lexical Regularities In Language Modeling Via Directed Markov Random Fields, Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng
Exploiting Syntactic, Semantic And Lexical Regularities In Language Modeling Via Directed Markov Random Fields, Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng
Kno.e.sis Publications
No abstract provided.
On The Decidability Of The Termination Problem Of Active Database Systems, James Bailey, Guozhu Dong, K. Rammamohanarao
On The Decidability Of The Termination Problem Of Active Database Systems, James Bailey, Guozhu Dong, K. Rammamohanarao
Kno.e.sis Publications
Active database systems enhance the functionality of traditional databases through the use of active rules or ‘triggers’. One of the principal analysis questions for such systems is that of termination—is it possible for the rules to recursively activate one another indefinitely, given an initial triggering event. In this paper, we study the decidability of the termination problem, our aim being to delimit the boundary between the decidable and the undecidable. We present results for two broad types of variations, variations in rule syntax and variations in meta level features. Within each of these, we identify members close to the …
Semantic Integration Of Glycomics Data And Information, William S. York, Amit P. Sheth, Krzysztof J. Kochut, John A. Miller, Christopher Thomas, Karthik Gomadam, X. Yi, Meenakshi Nagarajan
Semantic Integration Of Glycomics Data And Information, William S. York, Amit P. Sheth, Krzysztof J. Kochut, John A. Miller, Christopher Thomas, Karthik Gomadam, X. Yi, Meenakshi Nagarajan
Kno.e.sis Publications
No abstract provided.
Discovering And Ranking Semantic Associations Over A Large Rdf Metabase, Christian Halaschek-Wiener, Boanerges Aleman-Meza, I. Budak Arpinar, Amit P. Sheth
Discovering And Ranking Semantic Associations Over A Large Rdf Metabase, Christian Halaschek-Wiener, Boanerges Aleman-Meza, I. Budak Arpinar, Amit P. Sheth
Kno.e.sis Publications
Information retrieval over semantic metadata has recently received a great amount of interest in both industry and academia. In particular, discovering complex and meaningful relationships among this data is becoming an active research topic. Just as ranking of documents is a critical component of today's search engines, the ranking of relationships will be essential in tomorrow's semantic analytics engines. Building upon our recent work on specifying these semantic relationships, which we refer to as Semantic Associations, we demonstrate a system where these associations are discovered among a large semantic metabase represented in RDF. Additionally we employ ranking techniques to provide …
Service Oriented Architectures And Semantic Web Processes, Francisco Cubera, Kunal Verma, Amit P. Sheth
Service Oriented Architectures And Semantic Web Processes, Francisco Cubera, Kunal Verma, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Semantic Visualization: Interfaces For Exploring And Exploiting Ontology, Knowledgebase, Heterogeneous Content And Complex Relationships, Amit P. Sheth, David Avant
Semantic Visualization: Interfaces For Exploring And Exploiting Ontology, Knowledgebase, Heterogeneous Content And Complex Relationships, Amit P. Sheth, David Avant
Kno.e.sis Publications
Technology platforms and products for ontology-driven process of semantic applications that serve both Enterprise wide and pan-Web needs are both available and being deployed. Similar to the development of enterprise software applications, the creation of an ontology driven semantic application can be described as a set of distinct phases that compose a lifecycle. From conception to deployment, these phases involve human interaction with a broad variety of information, identified as heterogeneous data, metadata, knowledge and ontology. Based on experience spanning academic research at the LSDIS lab through deployed commercial semantic applications based on Semagix Freedom, this paper provides examples of …
Semantic Web Research Center Report: Lsdis Lab, Research In Semantic Bioinformatics, Semantic Analytics And Semantic Web Processes, Amit P. Sheth
Semantic Web Research Center Report: Lsdis Lab, Research In Semantic Bioinformatics, Semantic Analytics And Semantic Web Processes, Amit P. Sheth
Kno.e.sis Publications
The LSDIS Lab advances the field of distributed information systems by researching semantic techniques for exploiting heterogeneous multimedia information and improving processes, encompassing the central promise of the Semantic Web initiative. It is pursuing cutting edge research in ontology development for demanding scientific domains, semantic heterogeneity and integration, complex relationships discovery and semantic analytics, and Semantic Web services and processes. Past work of the LSDIS lab can be characterized by keywords: semantic interoperability, syntactic and semantic metadata for text and digital media, metadata based integration of Web content, ontology-driven information systems, multi-ontology query processing, transactional workflows and workflow management. Significant …
Semantic (Web) Technology In Action: Ontology Driven Information Systems For Search, Integration, And Analysis, Amit P. Sheth, Cartic Ramakrishnan
Semantic (Web) Technology In Action: Ontology Driven Information Systems For Search, Integration, And Analysis, Amit P. Sheth, Cartic Ramakrishnan
Kno.e.sis Publications
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the next generation of information systems applications. In this context, we review some of the reservations expressed about the viability of the Semantic Web. We respond to these by identifying a Semantic Technology that supports the key capabilities also needed to realize the Semantic Web vision, namely representing, acquiring and utilizing knowledge. Given that scalability is a key challenge, we briefly review our observations from developing three classes of real world applications and corresponding technology components: search/browsing, integration, and analytics. We distinguish …
Semantic Web Processes: Semantics Enabled Annotation, Discovery, Composition, And Orchestration Of Web Scale Processes, Jorge Cardoso, Amit P. Sheth
Semantic Web Processes: Semantics Enabled Annotation, Discovery, Composition, And Orchestration Of Web Scale Processes, Jorge Cardoso, Amit P. Sheth
Kno.e.sis Publications
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 semantics to each of the steps in the Semantic Web Process lifecycle can help address critical issues in reuse, integration and scalability.
Validating And Refining Clusters Via Visual Rendering, Keke Chen, Ling Liu
Validating And Refining Clusters Via Visual Rendering, Keke Chen, Ling Liu
Kno.e.sis Publications
The automatic clustering algorithms are known to work well in dealing with clusters of regular shapes, e.g. compact spherical/elongated shapes, but may incur higher error rates when dealing with arbitrarily shaped clusters. Although some efforts have been devoted to addressing the problem of skewed datasets, the problem of handling clusters with irregular shapes is still in its infancy, especially in terms of dimensionality of the datasets and the precision of the clustering results considered. Not surprisingly, the statistical indices works ineffective in validating clusters of irregular shapes, too. We address the problem of clustering and validating arbitrarily shaped clusters with …
Semantic E-Workflow Composition, Jorge Cardoso, Amit P. Sheth
Semantic E-Workflow Composition, Jorge Cardoso, Amit P. Sheth
Kno.e.sis Publications
Systems and infrastructures are currently being developed to support Web services. The main idea is to encapsulate an organization's functionality within an appropriate interface and advertise it as Web services. While in some cases Web services may be utilized in an isolated form, it is normal to expect Web services to be integrated as part of workflow processes. The composition of workflow processes that model e-service applications differs from the design of traditional workflows, in terms of the number of tasks (Web services) available to the composition process, in their heterogeneity, and in their autonomy. Therefore, two problems need to …
Towards (Semi-) Automatic Generation Of Bio-Medical Ontologies, Vipul Kashyap, Cartic Ramakrishnan, Thomas Rindflesch
Towards (Semi-) Automatic Generation Of Bio-Medical Ontologies, Vipul Kashyap, Cartic Ramakrishnan, Thomas Rindflesch
Kno.e.sis Publications
The design and construction of domain specific ontologies and taxonomies requires allocation of huge resources in terms of cost and time. These efforts are human intensive and we need to explore ways of minimizing human involvement and other resources. In the biomedical domain, we seek to leverage resources such as the UMLS1 Metathesaurus and NLP-based applications such as MetaMap2 in conjunction with statistical clustering techniques, to (partially) automate the process. This is expected to be useful to the team involved in developing MeSH and other biomedical taxonomies to identify gaps in the existing taxonomies, and to be able to quickly …
What Can Semantics Do For Bioinformatics?, Amit P. Sheth
Semantic Web In Action: Ontology-Driven Information Search, Integration And Analysis, Amit P. Sheth
Semantic Web In Action: Ontology-Driven Information Search, Integration And Analysis, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Amit P. Sheth
Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Amit P. Sheth
Kno.e.sis Publications
Discovering complex and meaningful relationships, which we call Semantic Associations, is an important challenge. Just as ranking of documents is a critical component of today's search engines, ranking of relationships will be essential in tomorrow's semantic search engines that would support discovery and mining of the Semantic Web. Building upon our recent work on specifying types of Semantic Associations in RDF graphs, which are possible to create through semantic metadata extraction and annotation, we discuss a framework where ranking techniques can be used to identify more interesting and more relevant Semantic Associations. Our techniques utilize alternative ways of specifying the …
Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Chris Halaschek, I. Budak Arpinar, Amit P. Sheth
Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Chris Halaschek, I. Budak Arpinar, Amit P. Sheth
Kno.e.sis Publications
Discovering complex and meaningful relationships, which we call Semantic Associations, is an important challenge. Just as ranking of documents is a critical component of today's search engines, ranking of relationships will be essential in tomorrow's semantic search engines that would support discovery and mining of the Semantic Web. Building upon our recent work on specifying types of Semantic Associations in RDF graphs, which are possible to create through semantic metadata extraction and annotation, we discuss a framework where ranking techniques can be used to identify more interesting and more relevant Semantic Associations. Our techniques utilize alternative ways of specifying the …
Boltzmann Machine Learning With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
Boltzmann Machine Learning With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
Kno.e.sis Publications
We present a new statistical learning paradigm for Boltzmann machines based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from Jaynes maximum entropy principle and from standard maximum likelihood estimation. We demonstrate the LME principle BY deriving new algorithms for Boltzmann machine parameter estimation, and show how robust and fast new variant of the EM algorithm can be developed. Our experiments show that estimation based on LME generally yields better results than maximum likelihood estimation, particularly when inferring hidden units from small amounts of data.
Learning Mixture Models With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
Learning Mixture Models With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
Kno.e.sis Publications
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from Jaynes’ maximum entropy principle and from standard maximum likelihood estimation. We demonstrate the LME principle by deriving new algorithms for mixture model estimation, and show how robust new variants of the EM algorithm can be developed. Our experiments show that estimation based on LME generally yields better results than maximum likelihood estimation, particularly when inferring latent variable models from small amounts of data.
A Visual Framework Invites Human Into The Clustering Process, Keke Chen, Ling Liu
A Visual Framework Invites Human Into The Clustering Process, Keke Chen, Ling Liu
Kno.e.sis Publications
Clustering is a technique commonly used in scientific research. The task of clustering inevitably involves human participation - the clustering is not finished when the computer/algorithm finishes but the user has evaluated, understood and accepted the patterns. This defines a human involved "clustering-analysis/evaluation" iteration. Instead of neglecting this human involvement, we provide a visual framework (VISTA) with all power of algorithmic approaches (since their result can be visualized), and in addition we allow the user to steer/monitor/refine the clustering process with domain knowledge. The visual-rendering result also provides a precise pattern for fast post-processing.
Toward A Comprehensive Supplement For Language Courses, Krishnaprasad Thirunarayan, Stephen P. Carl
Toward A Comprehensive Supplement For Language Courses, Krishnaprasad Thirunarayan, Stephen P. Carl
Kno.e.sis Publications
No abstract provided.
Adding Semantics To Web Services Standards, Kaarthik Sivashanmugam, Kunal Verma, Amit P. Sheth, John Miller
Adding Semantics To Web Services Standards, Kaarthik Sivashanmugam, Kunal Verma, Amit P. Sheth, John Miller
Kno.e.sis Publications
With the increasing growth in popularity of Web services, discovery of relevant Web services becomes a significant challenge. One approach is to develop semantic Web services where by the Web services are annotated based on shared ontologies, and use these annotations for semantics-based discovery of relevant Web services. We discuss one such approach that involves adding semantics to WSDL using DAML+OIL ontologies. Our approach also uses UDDI to store these semantic annotations and search for Web services based on them. We compare our approach with another initiative to add semantics to support Web service discovery, and show how our approach …
Semantic Web Process Lifecycle: Role Of Semantics In Annotation, Discovery, Composition And Orchestration, Amit P. Sheth
Semantic Web Process Lifecycle: Role Of Semantics In Annotation, Discovery, Composition And Orchestration, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Healthcare Enterprise Process Development And Integration, Kemafor Anyanwu, Amit P. Sheth, Jorge Cardoso, John A. Miller, Krzysztof J. Kochut
Healthcare Enterprise Process Development And Integration, Kemafor Anyanwu, Amit P. Sheth, Jorge Cardoso, John A. Miller, Krzysztof J. Kochut
Kno.e.sis Publications
Healthcare enterprises involve complex processes that span diverse groups and organisations. These processes involve clinical and administrative tasks, large volumes of data, and large numbers of patients and personnel. The tasks can be performed either by humans or by automated systems. In the latter case, the tasks are supported by a variety of software applications and information systems which are very often heterogeneous, autonomous, and distributed. The development of systems to manage and automate these processes has increasingly played an important role in improving the efficiency of healthcare enterprises. In this paper we look at four healthcare and medical applications …
Ρ-Queries: Enabling Querying For Semantic Associations On The Semantic Web, Kemafor Anyanwu, Amit P. Sheth
Ρ-Queries: Enabling Querying For Semantic Associations On The Semantic Web, Kemafor Anyanwu, Amit P. Sheth
Kno.e.sis Publications
This paper presents the notion of Semantic Associations as complex relationships between resource entities. These relationships capture both a connectivity of entities as well as similarity of entities based on a specific notion of similarity called ρ-isomorphism. It formalizes these notions for the RDF data model, by introducing a notion of a Property Sequence as a type. In the context of a graph model such as that for RDF, Semantic Associations amount to specific certain graph signatures. Specifically, they refer to sequences (i.e. directed paths) here called Property Sequences, between entities, networks of Property Sequences (i.e. undirected paths), or subgraphs …
Exception Handling For Conflict Resolution In Cross-Organizational Workflows, Zongwei Luo, Amit P. Sheth, Krzysztof Kochut, I. Budak Arpinar
Exception Handling For Conflict Resolution In Cross-Organizational Workflows, Zongwei Luo, Amit P. Sheth, Krzysztof Kochut, I. Budak Arpinar
Kno.e.sis Publications
Workflow management systems (WfMSs) are being increasingly deployed to deliver e-business transactions across organizational boundaries. To ensure a high service quality in such transactions, exception-handling schemes for conflict resolution are needed. The conflicts primarily arise due to failure of a task in workflow execution because of underlying application, or controlling WfMS component failures or insufficient user input. So far, little progress has been reported in addressing conflict resolution in cross-organizational business processes, though its importance has been recognized. In this paper, we identify the exception handling techniques that support conflict resolution in cross-organizational settings. In particular, we propose a novel, …
Identifying Patterns In Dna Change, Jason R. Gilder, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Identifying Patterns In Dna Change, Jason R. Gilder, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Kno.e.sis Publications
Now that a draft sequence of the human genome is nearly complete, questions regarding both the information contained within our genetic blueprints as well as the manner in which that information content changes over time can be addressed in ways that had not previously been possible. By their very nature, some of the nucleotide sequences present within our genome allow detailed examination of the mode and pattern of evolution that has shaped our genetic instructions over time spans of tens of millions of years. Alu repeats are one example. Using these relatively short, ubiquitous DNA sequences we explore the problem …
Ontology Driven Information Systems In Action (Capturing And Applying Existing Knowledge To Semantic Applications), Amit P. Sheth
Ontology Driven Information Systems In Action (Capturing And Applying Existing Knowledge To Semantic Applications), Amit P. Sheth
Kno.e.sis Publications
No abstract provided.