%0 Book Section %1 kanhabua2009using %A Kanhabua, Nattiya %A Nørvåg, Kjetil %B Machine Learning and Knowledge Discovery in Databases %D 2009 %E Buntine, Wray %E Grobelnik, Marko %E Mladenić, Dunja %E Shawe-Taylor, John %I Springer Berlin Heidelberg %K myown %P 738-741 %R 10.1007/978-3-642-04174-7_53 %T Using Temporal Language Models for Document Dating %U http://dx.doi.org/10.1007/978-3-642-04174-7_53 %V 5782 %X In order to increase precision in searching for web pages or web documents, taking the temporal dimension into account is gaining increased interest. A particular problem for web documents found on the Internet is that in general, no trustworthy timestamp is available. This is due to its decentralized nature and the lack of standards for time and date. In previous work we have presented techniques for solving this problem. In this paper, we present a tool for determining the timestamp of a non-timestamped document (using file, URL or text as input) using temporal language models. We also outline how this tool will be demonstrated. %@ 978-3-642-04173-0

@incollection{kanhabua2009using, abstract = {In order to increase precision in searching for web pages or web documents, taking the temporal dimension into account is gaining increased interest. A particular problem for web documents found on the Internet is that in general, no trustworthy timestamp is available. This is due to its decentralized nature and the lack of standards for time and date. In previous work we have presented techniques for solving this problem. In this paper, we present a tool for determining the timestamp of a non-timestamped document (using file, URL or text as input) using temporal language models. We also outline how this tool will be demonstrated.}, added-at = {2012-12-13T12:58:24.000+0100}, author = {Kanhabua, Nattiya and Nørvåg, Kjetil}, biburl = {https://www.bibsonomy.org/bibtex/22f3a3edc64b0ed0d4fec8bae8ee4e540/nattiya}, booktitle = {Machine Learning and Knowledge Discovery in Databases}, description = {Using Temporal Language Models for Document Dating - Springer}, doi = {10.1007/978-3-642-04174-7_53}, editor = {Buntine, Wray and Grobelnik, Marko and Mladenić, Dunja and Shawe-Taylor, John}, interhash = {0a589afaaff7a4d9140e3322d12462d9}, intrahash = {2f3a3edc64b0ed0d4fec8bae8ee4e540}, isbn = {978-3-642-04173-0}, keywords = {myown}, pages = {738-741}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2013-07-04T11:31:17.000+0200}, title = {Using Temporal Language Models for Document Dating}, url = {http://dx.doi.org/10.1007/978-3-642-04174-7_53}, volume = 5782, year = 2009 }