Enhancing Search Results with Semantic Annotation Using Augmented Browsing

Dai, Hong-Jie; Tsai, Wei-Chi; Tsai, Richard Tzong-Han; Hsu, Wen-Lian

doi:10.5591/978-1-57735-516-8/IJCAI11-403

Enhancing Search Results with Semantic Annotation Using Augmented Browsing

Hong-Jie Dai, Wei-Chi Tsai, Richard Tzong-Han Tsai, Wen-Lian Hsu

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2418-2422.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-403

Abstract

In this paper, we describe how we integrated an artificial intelligence (AI) system into the PubMed search website using augmented browsing technology. Our system dynamically enriches the PubMed search results displayed in a user’s browser with semantic annotation provided by several natural language processing (NLP) subsystems, including a sentence splitter, a part-of-speech tagger, a named entity recognizer, a section categorizer and a gene normalizer (GN). After our system is installed, the PubMed search results page is modified on the fly to categorize sections and provide additional information on gene and gene products identified by our NLP subsystems. In addition, GN involves three main steps: candidate ID matching, false positive filtering and disambiguation, which are highly dependent on each other. We propose a joint model using a Markov logic network (MLN) to model the dependencies found in GN. The experimental results show that our joint model outperforms a baseline system that executes the three steps separately. The developed system is available at https://sites.google.com/site/pubmedannotationtool4ijcai/home.

Hong-Jie Dai, Wei-Chi Tsai, Richard Tzong-Han Tsai, and Wen-Lian Hsu. 2011. Enhancing Search Results with Semantic Annotation Using Augmented Browsing. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2418–2422. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-403

@inproceedings{ijcai2011p403,
  title     = {Enhancing Search Results with Semantic Annotation Using Augmented Browsing},
  author    = {Dai, Hong-Jie and Tsai, Wei-Chi and Tsai, Richard Tzong-Han and Hsu, Wen-Lian},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2418--2422},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-403},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-403},
}

TY  - CPAPER
TI  - Enhancing Search Results with Semantic Annotation Using Augmented Browsing
AU  - Dai, Hong-Jie
AU  - Tsai, Wei-Chi
AU  - Tsai, Richard Tzong-Han
AU  - Hsu, Wen-Lian
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2418
EP  - 2422
DO  - 10.5591/978-1-57735-516-8/IJCAI11-403
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-403
ER  -