OntoMiner

Davulcu, Hasan; Vadrevu, Srinivas; Nagarajan, Saravanakumar

doi:10.1145/1010432.1010610

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ontology learning from free text is an important activity for the knowledge engineering community. One of the hottest research trends in this area is ontology learning from web documents, which is considered an important activity to promote the semantic web (Alani et al , 2003; Davulcu et al , 2003; Shamsfard & Barforoush, 2004). Knowledge acquisition from texts is a process that has already been considered part of the ontology learning process (Maedche & Staab, 2001).…”

Section: Discussionmentioning

confidence: 99%

A knowledge acquisition methodology to ontology construction for information retrieval from medical documents

et al. 2008

View full text Add to dashboard Cite

Vast amounts of medical information reside within text documents, so that the automatic retrieval of such information would certainly be beneficial for clinical activities. The need for overcoming the bottleneck provoked by the manual construction of ontologies has generated several studies and research on obtaining semi-automatic methods to build ontologies. Most techniques for learning domain ontologies from free text have important limitations. Thus, they can extract concepts so that only taxonomies are generally produced although there are other types of semantic relations relevant in knowledge modelling. This paper presents a language-independent approach for extracting knowledge from medical natural language documents. The knowledge is represented by means of ontologies that can have multiple semantic relationships among concepts.

show abstract

Section: Discussionmentioning

confidence: 99%

A knowledge acquisition methodology to ontology construction for information retrieval from medical documents

et al. 2008

View full text Add to dashboard Cite

show abstract

Concept-Based Search on Semi-structured Data Exploiting Mined Semantic Relations

Graupmann

2004

Current Trends in Database Technology - EDBT 2004 Workshops

View full text Add to dashboard Cite

show abstract

Ontologies as facilitators for repurposing web documents

Weal

Alani

Kim

et al. 2007

International Journal of Human-Computer Studies

View full text Add to dashboard Cite

This paper investigates the role of ontologies as a central part of an architecture to repurpose existing material from the web. A prototype system called ArtEquAKT is presented, which combines information extraction, knowledge management and consolidation techniques and adaptive document generation.All of these components are co-ordinated using one central ontology, providing a common vocabulary for describing the information fragments as they are processed. Each of the components of the architecture is described in detail and an evaluation of the system discussed. Conclusions are drawn as to the effectiveness of such an approach and further challenges are outlined. r

show abstract

OntoMiner

Cited by 4 publications

References 0 publications

A knowledge acquisition methodology to ontology construction for information retrieval from medical documents

A knowledge acquisition methodology to ontology construction for information retrieval from medical documents

Concept-Based Search on Semi-structured Data Exploiting Mined Semantic Relations

Ontologies as facilitators for repurposing web documents

Contact Info

Product

Resources

About