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1
Personalized Prediction of Suicide Risk for Web-based Intervention
In: Krishnaprasad Thirunarayan (2019)
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Personalized Prediction of Suicide Risk for Web-based Intervention
In: Amit P. Sheth (2019)
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3
Personalized Prediction of Suicide Risk for Web-based Intervention
In: Kno.e.sis Publications (2018)
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4
Intent Classification of Short-Text on Social Media
In: Valerie Shalin (2017)
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5
Intent Classification of Short-Text on Social Media
In: Amit P. Sheth (2016)
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6
Intent Classification of Short-Text on Social Media
In: Krishnaprasad Thirunarayan (2016)
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7
FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering
In: Kno.e.sis Publications (2015)
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8
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery
In: Kno.e.sis Publications (2015)
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9
Intent Classification of Short-Text on Social Media
In: Kno.e.sis Publications (2015)
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10
iExplore: Interactive Browsing and Exploring Biomedical Knowledge
In: Amit P. Sheth (2014)
Abstract: We present iExplore, a Semantic Web based application that helps biomedical researchers study and explore biomedical knowledge interactively. iExplore uses the Biomedical Knowledge Repository (BKR), which integrates knowledge from various sources ranging from information extracted from biomedical literature (from PubMed) to many structured vocabularies in the Unified Medical Language System (UMLS). The current version of BKR provides a unified provenance representation for 12 million semantic predications (triples with a predicate connecting a subject and an object) derived from 87 vocabulary families in the UMLS and 14 million predications extracted from 21 million PubMed abstracts. To engage the domain experts in studying and exploring such a comprehensive knowledge base, we developed the iExplore to: 1) visualize and navigate all the possible semantic predications related to concepts of interest, and 2) search for interesting links between concepts. We also provide an authorization mechanism for SPARQL queries generated by the iExplore to support licensed access to UMLS. We demonstrate the use of iExplore in two scenarios: 1) current research in biomedicine, and 2) re-exploration of two previously known literature-based discoveries.
Keyword: Bioinformatics; Biomedicine; Communication; Communication Technology and New Media; Computer Science and Engineering; Computer Sciences; Databases and Information Systems; iExplore; Knowledge Exploration; Life Sciences; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Social and Behavioral Sciences
URL: https://works.bepress.com/amit_sheth/499
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11
FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering
In: Amit P. Sheth (2014)
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12
A Graph-Based Recovery and Decomposition of Swanson’s Hypothesis using Semantic Predications
In: Krishnaprasad Thirunarayan (2014)
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13
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery
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
Expressive Extensions to Inheritance Networks
In: Krishnaprasad Thirunarayan (2014)
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16
On the Declarative Semantics of Inheritance Networks
In: Krishnaprasad Thirunarayan (2014)
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17
Inheritance in Programming Languages
In: Krishnaprasad Thirunarayan (2014)
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18
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery
In: Krishnaprasad Thirunarayan (2014)
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19
A Graph-Based Recovery and Decomposition of Swanson’s Hypothesis using Semantic Predications
In: Amit P. Sheth (2014)
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20
iExplore: Interactive Browsing and Exploring Biomedical Knowledge
In: Krishnaprasad Thirunarayan (2014)
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