@inproceedings{1127,
  abstract     = {{The conceptual condensability of technical terms permits us to use them as effective queries to search scientific databases. However, authors often employ alternative expressions to represent the meanings of specific terms, in other words, Terminological Paraphrases (TPs) in the literature for certain reasons. In this paper, we propose an effective way to retrieve “de facto relevance documents” which only contain those TPs and cannot be searched by conventional models in an environment with only controlled vocabularies by adapting Predicate Argument Tuple (PAT). The experiment confirms that PAT-based document retrieval is an effective and promising method to search those kinds of documents and to improve terminology-based scientific information access models.}},
  author       = {{Choi, Sung-Pil and Song, Sa-kwang and Jung, Hanmin and Geierhos, Michaela and Myaeng, Sung Hyon}},
  booktitle    = {{Information Science and Industrial Applications: Proceedings, International Conference, ISI 2012, Cebu, Philippines, May 2012}},
  editor       = {{Chang, Chin-Chen and Gelogo, Yvette E. and Caytiles, Ronnie E.}},
  issn         = {{22871233}},
  location     = {{Cebu, Philippines}},
  pages        = {{371--378}},
  publisher    = {{SERSC}},
  title        = {{{Scientific Literature Retrieval based on Terminological Paraphrases using Predicate Argument Tuple}}},
  volume       = {{4}},
  year         = {{2012}},
}

@inproceedings{1128,
  abstract     = {{Our purpose is to perform data record extraction from onlineevent calendars exploiting sublanguage and domain characteristics. We therefore use so-called domain-dependent data (D³) completely based on language-specific key expressions and HTML patterns to recognize every single event given on the investigated web page. One of the most remarkable advantages of our method is that it does not require any additional classification steps based on machine learning algorithms or keyword extraction methods; it is a so-called one-step mining technique. Moreover, another important criteria is that our system is robust to DOM and layout modifications made by web designers. Thus, preliminary experimental results are provided to demonstrate proof-of-concept of such an approach tested on websites in the German opera domain. Furthermore, we could show that our proposed technique outperforms other data record mining applications run on event sites.}},
  author       = {{Lee, Yeong Su and Geierhos, Michaela and Song, Sa-Kwang and Jung, Hanmin}},
  booktitle    = {{Software Technology: Prooceedings, International Conference, SoftTech 2012, Cebu, Philippines, May 2012}},
  editor       = {{Chang, Chin-Chen and Gelogo, Yvette E. and Caytiles, Ronnie E.}},
  issn         = {{22871233}},
  location     = {{Cebu, Philippines}},
  pages        = {{134--139}},
  publisher    = {{SERSC}},
  title        = {{{A Proof-of-Concept of D³ Record Mining using Domain-Dependent Data}}},
  volume       = {{5}},
  year         = {{2012}},
}