FEATURES

 
 

HubScience technology applies

 
  • E·D·T·A – Extreme Deep Text Analysis, which can be trained for any specific topic
  • Easy to Use Graphical Interface for end users
  • Technology that can be easily integrated into any 3rd party systems
  • Unique platform offering the advantages of knowledge-intensive teamwork
  • Dual-layer semantic annotation methodology including logical relations
 

 

E·D·T·A is our complex text processing technology which boosts the human literature reading and understanding processes by combining the power and accuracy of manual curation with the speed of machine learning-based text mining processes.

 
HubScience builds E·D·T·A for automated preannotation:

  • Preannotation for Life Sciences texts (E·D·T·A built by HubScience professionals)
  • Preannotation for user-specific topics (E·D·T·A built by users or HubScience professionals)
 

 

HubScience features

  • Preannotation

    Annotation is supported with automatic preannotation processing, when HubScience – E·D·T·A annotates the already known information.

  • Manual and on-the-fly annotation

    You can select any text segment and specify the type of the information before HubScience annotates and highlights the most confident fields.

  • Annotation interface

    HubScience provides a graphical user interface for marking and editing annotation structures. During annotation (“content extraction”) you can apply hierarchical labeling (“tagging”) in publications by using multi-colored highlights.

  • Personal annotation category

    You can create your own two-level annotation categories to fit your special requirements and to mark text structures loaded with information (semantic annotations).

  • Auto-extraction of meta and affiliation data

    The detection and extraction of Metadata (data related to the publication of the document, keywords, abbreviations) and affiliation information (authors, institutes, address, elations and contact data) are also automated.

  • E·D·T·A

    Extreme Deep Text Analysis, is our complex text processing technology which boosts the human literature reading and understanding processes in the medical and biotechnological research.

  • Rating

    HubScience users are invited to rate any journal articles on a scale of 1 to 10. You can rank documents by relying on your own experience in evaluating scientific information.

  • Tracking

    Find and keep track of the most relevant scientific articles for your project. You can rank documents (High, Medium or Low) by relying on your own criteria such as how relevant they can be in a given topic.

  • Remark

    You can add your own notes, comments or reminders directly to the annotated information or you can link web contents to it.

  • Teamwork

    Find and keep track of the most relevant scientific articles for your project. You can rank documents (High, Medium or Low) by relying on your own criteria such as how relevant they can be in a given topic.

  • Export and statistics

    Export an unlimited number of your annotations and notes in any structured data formats (XLS, CSV, JSON).