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Articles 31 - 34 of 34
Full-Text Articles in Databases and Information Systems
Clustering Similarity Comparison Using Density Profiles, Eric Bae, James Bailey, Guozhu Dong
Clustering Similarity Comparison Using Density Profiles, Eric Bae, James Bailey, Guozhu Dong
Kno.e.sis Publications
The unsupervised nature of cluster analysis means that objects can be clustered in many ways, allowing different clustering algorithms to generate vastly different results. To address this, clustering comparison methods have traditionally been used to quantify the degree of similarity between alternative clusterings. However, existing techniques utilize only the point memberships to calculate the similarity, which can lead to unintuitive results. They also cannot be applied to analyze clusterings which only partially share points, which can be the case in stream clustering. In this paper we introduce a new measure named ADCO, which takes into account density profiles for each …
Predicting Domain Specific Entities With Limited Background Knowledge, Christopher Thomas, Amit P. Sheth
Predicting Domain Specific Entities With Limited Background Knowledge, Christopher Thomas, Amit P. Sheth
Kno.e.sis Publications
This paper proposes a framework for automatic recognition of domain-specific entities from text, given limited background knowledge, e.g. in form of an ontology. The algorithm exploits several lightweight natural language processing techniques, such as tokenization and stemming, as well as statistical techniques, such as singular value decomposition (SVD) to suggest domain relatedness of unknown entities.
Driving Deep Semantics In Middleware And Networks: What, Why And How?, Amit P. Sheth
Driving Deep Semantics In Middleware And Networks: What, Why And How?, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Knowledge Modeling And Its Application In Life Sciences: A Tale Of Two Ontologies, Satya S. Sahoo, Christopher Thomas, Amit P. Sheth, William S. York, Samir Tartir
Knowledge Modeling And Its Application In Life Sciences: A Tale Of Two Ontologies, Satya S. Sahoo, Christopher Thomas, Amit P. Sheth, William S. York, Samir Tartir
Kno.e.sis Publications
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantification of a structurally diverse collection of biomolecules. The ability to share, compare, query for and most critically correlate datasets using the native biological relationships are some of the challenges being faced by glycobiology researchers. As a solution for these challenges, we are building a semantic structure, using a suite of ontologies, which supports management of data and information at each step of the experimental lifecycle. This framework will enable researchers to leverage the large scale of glycoproteomics …