Ontotext Knowledge Hub

Mix of the last uploaded resources

todor_primov

Large textual collections are precious source of information which are hard to organise and access due to their heterogeneous nature. With the help of text mining and text analytics we can facilitate the information extraction that mines this hidden knowledge.

December 8, 2016 View It now
petar_ivanov

Semantic Technologies offer a broad range of advantages for data scientists, analysts and engineers – flexible “schema-late” data modelling, automated knowledge discovery, access to colossal linked open data resources, to name a few. Moreover, for businesses, both small and large, those advantages translate into seamless data integration, management and enrichment.

November 24, 2016 View It now
petar_ivanov

A major challenge for today’s enterprises is data integration: how to effectively leverage the data available both in structured and unstructured form. This webinar will guide you through the process of data integration, creating one unified data layer from heterogeneous distributed data.

November 10, 2016 View It now
Georgi Georgiev

Graph Analytics are a critical component in supporting business strategy. They can help you target content with pinpoint accuracy; identify potential new lifesaving treatments; flag possible fraudulent activities; and predict future behavior. GraphDB™ from Ontotext is accelerating the innovation of enterprise analytics to provide you with the strategic advantage your organization needs to get a competitive edge.

October 27, 2016 View It now
Featured image

SPARQL, pronounced ‘sparkle’, is the standard query language and protocol for Linked Open Data on the web or in a semantic graph database (also called RDF triplestore). SPARQL, short for “SPARQL Protocol and RDF Query Language”, enables users to…

October 12, 2016 Learn more
ivelina

Large textual collections are precious source of information which are hard to organise and access due to their heterogeneous nature. With the help of text mining and text analytics we can facilitate the information extraction that mines this hidden knowledge.

October 13, 2016 View It now
vladimir_alexiev_200_200

These and many issues are faced by scholars, book researchers, museum directors who try to find the underlying connection between resources. Scholars in particular continuously emphasizes the role of digital humanities and the value of linked data in cultural heritage information systems.

September 29, 2016 View It now
indexing_storing_graph_database

Semantic annotation is the process of attaching additional information to various concepts (e.g. people, things, places, organizations etc) in a given text or any other content. Unlike classic text annotations for reader’s reference, semantic annotations are used…

August 30, 2016 Learn more
Semantic_Data_Integration

Semantic Data Integration allows users to quickly design data processing jobs involving GraphDB™ and GATE (General Architecture for Text Engineering).  Users interested in "RDF-izing" their data can export the jobs as executable processes or REST services.  Part…

August 29, 2016 Learn more
todor_primov

Clinical trials, both public and proprietary, hold huge amount of valuable information. Acquiring knowledge from that information in a cost and time efficient manner is a major industry painpoint. Although information from clinical trials is stored in structured or semi-structured form, it is rarely coded with medical terminologies, which creates a significant level of ambiguity and increases the effort for data preparation for analytical purposes.

September 8, 2016 View It now
Back to top