Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking Export

@incollection{citeulike:6055555, abstract = {Modelling and simulation methods gain increasing importance for the understanding of biological systems. The growing number of available computational models makes support in maintenance and retrieval of those models essential to the community. This article discusses which model information are helpful for efficient retrieval and how existing similarity measures and ranking techniques can be used to enhance the retrieval process, i. e. the model reuse. With the development of new tools and modelling formalisms, there also is an increasing demand for performing search independent of the models' encoding. Therefore, the presented approach is not restricted to certain model storage formats. Instead, the model meta-information is used for retrieval and ranking of the search result. Meta-information include general information about the model, its encoded species and reactions, but also information about the model behaviour and related simulation experiment descriptions.}, author = {K\"{o}hn, Dagmar and Maus, Carsten and Henkel, Ron and Kolbe, Martin}, citeulike-article-id = {6055555}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-02879-3_17}, citeulike-linkout-1 = {http://www.springerlink.com/content/f422r1l0863743j6}, doi = {10.1007/978-3-642-02879-3_17}, journal = {Data Integration in the Life Sciences}, keywords = {dils, mdb, model\_management, model\_repository, model\_retrieval, model\_similarity, model\_storage}, pages = {204--219}, posted-at = {2009-11-02 08:10:25}, priority = {2}, title = {Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking}, url = {http://dx.doi.org/10.1007/978-3-642-02879-3_17}, year = {2009} }

TY - CHAP ID - citeulike:6055555 L3 - citeulike-article-id:6055555 N2 - Modelling and simulation methods gain increasing importance for the understanding of biological systems. The growing number of available computational models makes support in maintenance and retrieval of those models essential to the community. This article discusses which model information are helpful for efficient retrieval and how existing similarity measures and ranking techniques can be used to enhance the retrieval process, i. e. the model reuse. With the development of new tools and modelling formalisms, there also is an increasing demand for performing search independent of the models’ encoding. Therefore, the presented approach is not restricted to certain model storage formats. Instead, the model meta-information is used for retrieval and ranking of the search result. Meta-information include general information about the model, its encoded species and reactions, but also information about the model behaviour and related simulation experiment descriptions. JF - Data Integration in the Life Sciences EP - 219 TI - Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking SP - 204 KW - dils KW - mdb KW - model_management KW - model_repository KW - model_retrieval KW - model_similarity KW - model_storage AU - Köhn, Dagmar AU - Maus, Carsten AU - Henkel, Ron AU - Kolbe, Martin PY - 2009/// UR - http://dx.doi.org/10.1007/978-3-642-02879-3_17 ER -