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{{Inproceedings
|Referiert=True
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|Title=A semantic wiki for novelty search on documents
 
|Title=A semantic wiki for novelty search on documents
 
|Year=2013
 
|Year=2013
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|Publisher=Springer
 
|Publisher=Springer
 
|Address=Berlin, Heidelberg
 
|Address=Berlin, Heidelberg
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|Note=https://dblp.org/rec/bibtex/conf/dir/FarberR13
 
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{{Publikation Details
 
{{Publikation Details
|Abstract=Technology-oriented companies are typically interested in monitoring developments concerning their technologies. However, most companies, especially SMEs, don't have an efficient process how this is achieved. If at all, efforts are mostly limited to uncoordinated keyword queries on web resources.
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|Abstract=Technology-oriented companies are typically interested in monitoring developments concerning their technologies. However, most companies, especially SMEs, don't have an efficient process how this is achieved. If at all, efforts are mostly limited to uncoordinated keyword queries on web resources.Here, we present a semi-automatic approach that allows for structured and continuous detection of relevant, novel and domain specific documents appearing on the Web.Our system is based on a semantic wiki where the domain expert is able (i) to store all relevant information in an adequate knowledge base with the ability for monitoring and trend mining and (ii) to import detected novel items such as future technologies and their properties to the knowledge base in a continuos fashion. The latter is achieved by generating a structured query based on the user context and by representing found documents as semantic graphs. In this way, novel items can be found easier and in a semi-automatic fashion.
Here, we present a semi-automatic approach that allows for structured and continuous detection of relevant, novel and domain specific documents appearing on the Web.
+
|Download=M Faerber A semantic wiki DIR2013.pdf,
Our system is based on a semantic wiki where the domain expert is able (i) to store all relevant information in an adequate knowledge base with the ability for monitoring and trend mining and (ii) to import detected novel items such as future technologies and their properties to the knowledge base in a continuos fashion. The latter is achieved by generating a structured query based on the user context and by representing found documents as semantic graphs. In this way, novel items can be found easier and in a semi-automatic fashion.
 
|Download=M Faerber A semantic wiki DIR2013.pdf,  
 
 
|Projekt=SyncTech
 
|Projekt=SyncTech
|Forschungsgruppe=Wissensmanagement
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|Forschungsgruppe=Web Science
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Semantische Technologien
 
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Aktuelle Version vom 17. November 2019, 17:20 Uhr


A semantic wiki for novelty search on documents


A semantic wiki for novelty search on documents



Published: 2013 April

Buchtitel: Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval
Seiten: 60-61
Verlag: Springer
Erscheinungsort: Berlin, Heidelberg

Referierte VeröffentlichungNote: https://dblp.org/rec/bibtex/conf/dir/FarberR13

BibTeX

Kurzfassung
Technology-oriented companies are typically interested in monitoring developments concerning their technologies. However, most companies, especially SMEs, don't have an efficient process how this is achieved. If at all, efforts are mostly limited to uncoordinated keyword queries on web resources.Here, we present a semi-automatic approach that allows for structured and continuous detection of relevant, novel and domain specific documents appearing on the Web.Our system is based on a semantic wiki where the domain expert is able (i) to store all relevant information in an adequate knowledge base with the ability for monitoring and trend mining and (ii) to import detected novel items such as future technologies and their properties to the knowledge base in a continuos fashion. The latter is achieved by generating a structured query based on the user context and by representing found documents as semantic graphs. In this way, novel items can be found easier and in a semi-automatic fashion.

Download: Media:M Faerber A semantic wiki DIR2013.pdf

Projekt

SyncTech



Forschungsgruppe

Web Science


Forschungsgebiet

Semantische Technologien