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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)
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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)
Abstract: Even though much work has gone into explicating the semantics of inheritance networks, no consensus seems to have emerged among the researchers about their precise semantics. In fact, there are several different possible interpretations of the same network topology. So, from a practical knowledge representation standpoint, in the absence of any independently verifiable semantics, we wish to pursue the approach of enhancing the language of traditional inheritance networks to enable the user to choose among the various available options, to program in a more complete description of the input problem in the enriched language. This approach permits representation of certain networks that were not represent able previously, and allows making subtle distinctions among networks that were not hitherto possible. In this paper we propose an annotated inheritance network language, develop its formal semantics by amalgamating harmoniously a family of related “local” inheritance theories, and discuss some implementation issues.
Keyword: Bioinformatics; Communication; Communication Technology and New Media; Computer Science and Engineering; Computer Sciences; Databases and Information Systems; Life Sciences; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Social and Behavioral Sciences
URL: https://works.bepress.com/tk_prasad/29
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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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