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- Semantic Web (6)
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Articles 31 - 37 of 37
Full-Text Articles in Physical Sciences and Mathematics
Discovering Informative Subgraphs In Rdf Graphs, William H. Milnor, Cartic Ramakrishnan, Matthew Perry, Amit P. Sheth, John A. Miller, Krzysztof Kochut
Discovering Informative Subgraphs In Rdf Graphs, William H. Milnor, Cartic Ramakrishnan, Matthew Perry, Amit P. Sheth, John A. Miller, Krzysztof Kochut
Kno.e.sis Publications
Discovering patterns in graphs has long been an area of interest. In most contemporary approaches to such pattern discovery either quantitative anomalies or frequency of substructure is used to measure the interestingness of a pattern. In this paper we address the issue of discovering informative sub-graphs within RDF graphs. We motivate our work with an example related to Semantic Search. A user might pose a question of the form: ' What are the most relevant ways in which entity X is related to entity Y?' the response to which is a subgraph connecting X to Y. Relevance of the …
Taxaminer: An Experimentation Framework For Automated Taxonomy Bootstrapping, Vipul Kashyap, Cartic Ramakrishnan, Christopher Thomas, Amit P. Sheth
Taxaminer: An Experimentation Framework For Automated Taxonomy Bootstrapping, Vipul Kashyap, Cartic Ramakrishnan, Christopher Thomas, Amit P. Sheth
Kno.e.sis Publications
Construction of domain ontologies on the semantic web is a human and resource intensive process, efforts to reduce which are crucial for the Semantic Web to scale. We present a framework for automated taxonomy construction, that involves: (a) generation of a cluster hierarchy from a document corpus using statistical clustering and NLP techniques; (b) extraction of a topic hierarchy from this cluster hierarchy; and (c) assignment of labels to nodes in the topic hierarchy. Metrics for estimating topic hierarchy quality and parameters of an experimentation framework are identified. MEDLINE was the document corpus and MeSH thesaurus was the gold standard.
Framework For Semantic Web Process Composition, Kaarthik Sivashanmugam, John A. Miller, Amit P. Sheth, Kunal Verma
Framework For Semantic Web Process Composition, Kaarthik Sivashanmugam, John A. Miller, Amit P. Sheth, Kunal Verma
Kno.e.sis Publications
Web services have the potential to revolutionize e-commerce by enabling businesses to interact with each other on the fly. To date, however, Web processes using Web services have been created mostly at the syntactic level. Current composition standards focus on building processes based on the interface description of the participating services. This rigid approach, with its strong coupling between the process and the interface of the participating services, does not allow businesses to dynamically change partners and services. As shown in this article, Web process composition techniques can be enhanced by using semantic process templates to capture the semantic requirements …
Glyde - An Expressive Xml Standard For The Representation Of Glycan, Satya S. Sahoo, Christopher Thomas, Amit P. Sheth, Cory Andrew Henson, William S. York
Glyde - An Expressive Xml Standard For The Representation Of Glycan, Satya S. Sahoo, Christopher Thomas, Amit P. Sheth, Cory Andrew Henson, William S. York
Kno.e.sis Publications
The amount of glycomics data being generated is rapidly increasing as a result of improvements in analytical and computational methods. Correlation and analysis of this large, distributed data set requires an extensible and flexible representational standard that is also ‘understood’ by a wide range of software applications. An XML-based data representation standard that faithfully captures essential structural details of a glycan moiety along with additional information (such as data provenance) to aid the interpretation and usage of glycan data, will facilitate the exchange of glycomics data across the scientific community. To meet this need, we introduce GLYcan Data Exchange (GLYDE) …
The "Best K" For Entropy-Based Categorical Data Clustering, Keke Chen, Ling Liu
The "Best K" For Entropy-Based Categorical Data Clustering, Keke Chen, Ling Liu
Kno.e.sis Publications
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has satisfactorily addressed the important problem for categorical clustering – how can we determine the best K number of clusters for a categorical dataset? Since categorical data does not have the inherent distance function as the similarity measure, traditional cluster validation techniques based on the geometry shape and density distribution cannot be applied to answer this question. In this paper, we investigate the entropy property of the categorical data and propose a BkPlot method for determining …
Semantic Web & Semantic Web Services: Applications In Healthcare And Scientific Research, Amit P. Sheth
Semantic Web & Semantic Web Services: Applications In Healthcare And Scientific Research, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Wsdl-S: Adding Semantics To Wsdl, John Miller, Kunal Verma, Preeda Rajasekaran, Amit P. Sheth, Rohit Aggarwal, Kaarthik Sivashanmugam
Wsdl-S: Adding Semantics To Wsdl, John Miller, Kunal Verma, Preeda Rajasekaran, Amit P. Sheth, Rohit Aggarwal, Kaarthik Sivashanmugam
Kno.e.sis Publications
Web services have primarily been designed for providing inter-operability between business applications. Current technologies assume a large amount of human interaction, for integrating two applications. This is primarily due to the fact that business process integration requires understanding of data and functions of the involved entities. Semantic Web technologies, powered by description logic based languages like OWL[1], aim to add greater meaning to Web content, by annotating the data with ontologies. Ontologies provide a mechanism of providing shared conceptualizations of domains. This allows agents to get an understanding of users’ Web content and greatly reduces human interaction for meaningful Web …