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1
A Context-Driven Subgraph Model for Literature-Based Discovery
In: Kno.e.sis Publications (2014)
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2
iExplore: Interactive Browsing and Exploring Biomedical Knowledge
In: Amit P. Sheth (2014)
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3
FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering
In: Amit P. Sheth (2014)
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4
A Graph-Based Recovery and Decomposition of Swanson’s Hypothesis using Semantic Predications
In: Krishnaprasad Thirunarayan (2014)
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5
Show Me What You Mean! Exploiting Domain Semantics in Ontology Visualization
In: Amit P. Sheth (2014)
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6
Semantics-Based Information Brokering
In: Amit P. Sheth (2014)
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7
Semantics for the Semantic Web: The Implicit, the Formal and the Powerful
In: Amit P. Sheth (2014)
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8
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery
In: Amit P. Sheth (2014)
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9
SWETO: Large-Scale Semantic Web Test-bed
In: Amit P. Sheth (2014)
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10
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: Amit P. Sheth (2014)
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11
Updating Relational Views Using Knowledge at View Definition and View Update Time
In: Amit P. Sheth (2014)
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12
Semantic Visualization: Interfaces for Exploring and Exploiting Ontology, Knowledgebase, Heterogeneous Content and Complex Relationships
In: Amit P. Sheth (2014)
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13
What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
In: Amit P. Sheth (2014)
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14
FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering
In: Krishnaprasad Thirunarayan (2014)
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15
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: Kno.e.sis Publications (2014)
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16
ρ-Queries: Enabling Querying for Semantic Associations on the Semantic Web
In: Amit P. Sheth (2014)
Abstract: 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 of ρ-isomorphic Property Sequences. The ability to query about the existence of such relationships is fundamental to tasks in analytical domains such as national security and business intelligence, where tasks often focus on finding complex yet meaningful and obscured relationships between entities. However, support for such queries is lacking in contemporary query systems, including those for RDF. This paper discusses how querying for Semantic Associations might be enabled on the Semantic Web, through the use of an operator ρ. It also discusses two approaches for processing ρ-queries on available persistent RDF stores and memory resident RDF data graphs, thereby building on current RDF query languages.
Keyword: Bioinformatics; Communication; Communication Technology and New Media; Complex Data Relationships; Computer Science and Engineering; Computer Sciences; Databases and Information Systems; Knowledge Discover; Life Sciences; OS and Networks; Physical Sciences and Mathematics; RDF Graph Treversal; Science and Technology Studies; Semantic Associations; Semantic Web Mining; Semantic Web Querying; Social and Behavioral Sciences
URL: https://works.bepress.com/amit_sheth/396
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17
Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs
In: Kno.e.sis Publications (2014)
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18
Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal
In: Amit P. Sheth (2014)
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19
Expressive Extensions to Inheritance Networks
In: Krishnaprasad Thirunarayan (2014)
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20
Visualization of Events in a Spatially and Multimedia Enriched Virtual Environment
In: Amit P. Sheth (2014)
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