PAI: Automatic indexing for extracting asserted keywords from a document

Extracting Keywords from Digital Document Collections

An indexing tool was built to provide for one of several information seeking tasks. In ac­ cordance with the basic principles of work held by the HUMLE laboratory at SICS, a so­ lution regarding indexing would be a semi-automatic tool. This approach is also relevant as the continuation of the indexing project is conducted in co-operation with the Swedish Parliament, where a staff of professiona...

KeyWorld: Extracting Keywords from a Document as a Small World

The small world topology is known widespread in biological, social and man-made systems. This paper shows that the small world structure also exists in documents, such as papers. A document is represented by a network; the nodes represent terms, and the edges represent the co-occurrence of terms. This network is shown to have the characteristics of being small world, i.e., highly clustered and ...

Towards Automatic Building of Document Keywords

Document keywords are associated to documents as summarized versions of the documents’ content. Considering that the number of documents is quickly growing every day, the availability of these keywords is very important. Although, usually keywords are manually written. This motivated us to work on an approach to change this manual procedure for an automatic one. This paper presents a language i...

Document indexing for automatic semantic annotation support

Nowadays, capturing the knowledge in ontological structures is one of the primary focuses of the knowledge management research. To exploit the knowledge from the vast quantity of existing unstructured texts available in natural languages in ontologies, tools for automatic semantic annotation (ASA) are heavily needed. In this paper, we present an approach to ASA and a method for documents conten...

Extracting Biological Keywords from Scientific Text