Semantic Computing
ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles
Submitted by bahar on Fri, 2017-10-13 00:46Personal Research Assistants for Young Researchers
Submitted by bahar on Tue, 2017-06-27 15:21Personal Research Agents on the Web of Linked Open Data
Submitted by bahar on Mon, 2017-06-19 10:00From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments
Submitted by bahar on Thu, 2016-06-23 16:49Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud
Submitted by bahar on Thu, 2016-01-07 17:09Semantic Publishing Challenge 2015: Supplementary Material
This page provides supplementary material for our submission to the Semantic Publishing Challenge 2015 co-located with the Extended Semantic Web Conference (ESWC 2015).
We present an automatic workflow that performs text segmentation and entity extraction from scientific literature to primarily address Task 2 of the Semantic Publishing Challenge 2015. The proposed solution is composed of two subsystems: (i) A text mining pipeline, developed based on the GATE framework, which extracts structural and semantic entities, such as, authors' information and citations, from text and produces semantic (typed) annotations; and (ii) a flexible exporting module that translates the document annotations into RDF triples according to a custom mapping file.
Semantic Assistants for Web Portals
As a new extension to our Semantic Assistants framework, the integration of Semantic Assistants for Liferay allows portals to automatically process textual content using state-of-the-art techniques from the Natural Language Processing (NLP) domain. The SA-Liferay integration aims at bringing NLP power to this popular portal system and its users in a seamless, user-friendly manner, realized as a ready-to-deploy custom portlet. With this new integration, we envision a new generation of web portals that can provide context-sensitive support through semantic analysis services, in particular based on NLP, allowing AI "assistants" support portal users with their tasks at hand.
Natural Language Processing for Web Portals: First release of the Semantic Assistants-Liferay Integration
A data portal is a web-based software application, which provides a central entry point to an enormous amount of heterogeneous data sources. These mostly heterogeneous information are aggregated from various sources and presented to users based on their assigned roles. Ideally, an intelligent portal must be able to offer content to users, taking into account contextual information beyond their roles and permissions. Our integration of Semantic Assistants for Liferay allows portals to automatically process textual content using state-of-the-art techniques from the Natural Language Processing (NLP) domain. The SA-Liferay integration aims at bringing the NLP power to this popular portal system and its users in a seamless, user-friendly manner, realized as a ready-to-deploy custom portlet.