Pedro Szekely

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Dr. Pedro Szekely is a Project Leader at the Information Sciences Institute (ISI) and a Research Associate Professor in the Computer Science Department at the University of Southern California (SC). Dr. Szekely joined USC ISI in 1988 after receiving his M.S. and Ph.D. degrees in Computer Science from Carnegie Mellon University in 1982 and 1987 respectively. His research focuses on tools to help analysts, engineers and scientists clean, harmonize and integrate data from a variety of sources to produce datasets that they can analyze and visualize. Dr. Szekely is the lead architect of Karma, a state of the art information integration tool that can be used to easily integrate data in many dom...

linked data semantic web rdf museums databases cultural heritage cidoc crm tools lod r2rml karma information integration information technology eswc smithsonian american art museum sparql museum data

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About

Pedro Szekely

Presentations

American Art Collaborative Goals

Karma: Tools for Publishing Cultural Heritage Data in the Linked Open Data Cloud

Introduction to RDF

Introduction to SPARQL

Connecting the Smithsonian American Art Museum to the Linked Data Cloud

A Graph-based Approach to Learn Semantic Descriptions of Data Sources

Linked Data and Tools

Linked Data, Cultural Heritage & the Karma Mapping Software

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Modelling and exchanging annotations

Real-time Data De-duplication using Locality-sensitive Hashing powered by Storm and Riak (Berlin Buzzwords 2014)

Leveraging Linked Data to Infer Semantic Relations within Structured Sources

JSON-LD: JSON for Linked Data

WISS QA Do it yourself Question answering over Linked Data

Semantic Web and Schema.org

The Semantic Web - Interacting with the Unknown

Towards a Distributional Semantic Web Stack

The Graph Traversal Programming Pattern

Titan: Big Graph Data with Cassandra

GLAMorous LOD and ResearchSpace introduction

Evolving the Web into a Global Database - Advances and Applications.

"Understanding Free Software and Open Source Licensing" by Zak Greant @ eLiberatica 2008

Works with persistent graphs using OrientDB

Scaling up Linked Data

Linked Data, Ontologies and Inference

A Graph-Based Approach to Learn Semantic Descriptions of Data Sources

JSON-LD for RESTful services

HTML5 based PivotViewer for Visualizing LInked Data

Interaction with Linked Data