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Full-Text Articles in Science and Technology Studies
Sweto: Large-Scale Semantic Web Test-Bed, Boanerges Aleman-Meza, Chris Halaschek, Amit P. Sheth, I. Budak Arpinar, Gowtham Sannapareddy
Sweto: Large-Scale Semantic Web Test-Bed, Boanerges Aleman-Meza, Chris Halaschek, Amit P. Sheth, I. Budak Arpinar, Gowtham Sannapareddy
Kno.e.sis Publications
The emergent Semantic Web community needs a common infrastructure for testing the scalability and quality of new techniques and software which use machine processable data. Since ontologies are a centerpiece of most approaches, we believe that for an accurate evaluation of tools for quality, scalability and performance, the research community needs a freely available ontology with a large description base. If the use of tools is to be for advanced semantic applications, such as those in business intelligence and national security, then instances in the knowledge base should be highly interconnected. Thus, we propose and describe a Semantic WEb Technology …
Semantic Web Technology Evaluation Ontology (Sweto): A Test Bed For Evaluating Tools And Benchmarking Applications, Boanerges Aleman-Meza, Amit P. Sheth, I. Budak Arpinar, Chris Halaschek
Semantic Web Technology Evaluation Ontology (Sweto): A Test Bed For Evaluating Tools And Benchmarking Applications, Boanerges Aleman-Meza, Amit P. Sheth, I. Budak Arpinar, Chris Halaschek
Kno.e.sis Publications
No abstract provided.
Semantic Web Research Center Report: Lsdis Lab, Research In Semantic Bioinformatics, Semantic Analytics And Semantic Web Processes, Amit P. Sheth
Semantic Web Research Center Report: Lsdis Lab, Research In Semantic Bioinformatics, Semantic Analytics And Semantic Web Processes, Amit P. Sheth
Kno.e.sis Publications
The LSDIS Lab advances the field of distributed information systems by researching semantic techniques for exploiting heterogeneous multimedia information and improving processes, encompassing the central promise of the Semantic Web initiative. It is pursuing cutting edge research in ontology development for demanding scientific domains, semantic heterogeneity and integration, complex relationships discovery and semantic analytics, and Semantic Web services and processes. Past work of the LSDIS lab can be characterized by keywords: semantic interoperability, syntactic and semantic metadata for text and digital media, metadata based integration of Web content, ontology-driven information systems, multi-ontology query processing, transactional workflows and workflow management. Significant …