International audienceIn semantic annotation, semantic concepts are linked to natural language. Semantic annotation helps in boosting the ability to search and access resources and can be used in information retrieval systems to augment the queries from the user. In the research described in this paper, we aimed to identify ontological concepts in scientific text contained in spreadsheets. We developed a tool that can handle various types of spreadsheets. Furthermore, we used the NCBO Annotator API provided by BioPortal to enhance the semantic annotation functionality to cover spreadsheet data. Table2Annotation has strengths in certain criteria such as speed, error handling, and complex concept matching
Abstract. We present the interest of the Semantic Web techniques, particularly semantic annotation, ...
Semantic annotation of text requires the dynamic merging of linguistically structured information an...
This paper deals with the integration of data extracted from the web into an existing data warehouse...
In this paper we propose several approaches for automatic annotation of natural science spreadsheets...
It is possible to automatically annotate a natural science spreadsheet using lexical matching, given...
The increase in volume and complexity of biological data has led to increased requirements to reuse ...
We introduce a framework for automated semantic document annotation that is composed of four process...
A semantic annotation platform can effectively organize digital resources and extract knowledge frag...
Abstract. Semantic annotation using biomedical ontologies is required to en-able data integration, i...
International audienceThis position paper discusses various issues concerning the semantic web. We c...
For the recovery of information semantic web techniques are used that enrich the information by extr...
International audienceBiologists have adopted ontologies: *To provide canonical representation of sc...
When performing document search, scientists have specific goals in mind. We conducted interviews wit...
Background: Semantic approaches such as concept-based information retrieval rely on a corpus in whic...
The Semantic Field Book Annotator is a web application developed for domain experts to harvest struc...
Abstract. We present the interest of the Semantic Web techniques, particularly semantic annotation, ...
Semantic annotation of text requires the dynamic merging of linguistically structured information an...
This paper deals with the integration of data extracted from the web into an existing data warehouse...
In this paper we propose several approaches for automatic annotation of natural science spreadsheets...
It is possible to automatically annotate a natural science spreadsheet using lexical matching, given...
The increase in volume and complexity of biological data has led to increased requirements to reuse ...
We introduce a framework for automated semantic document annotation that is composed of four process...
A semantic annotation platform can effectively organize digital resources and extract knowledge frag...
Abstract. Semantic annotation using biomedical ontologies is required to en-able data integration, i...
International audienceThis position paper discusses various issues concerning the semantic web. We c...
For the recovery of information semantic web techniques are used that enrich the information by extr...
International audienceBiologists have adopted ontologies: *To provide canonical representation of sc...
When performing document search, scientists have specific goals in mind. We conducted interviews wit...
Background: Semantic approaches such as concept-based information retrieval rely on a corpus in whic...
The Semantic Field Book Annotator is a web application developed for domain experts to harvest struc...
Abstract. We present the interest of the Semantic Web techniques, particularly semantic annotation, ...
Semantic annotation of text requires the dynamic merging of linguistically structured information an...
This paper deals with the integration of data extracted from the web into an existing data warehouse...