%0 Journal Article %1 GrcarEtal2008_TMLAfSWM %A Grcar, Miha %A Grobelnik, Marko %A Mladenic, Dunja %D 2008 %J Mining Complex Data %K imported %P 1--12 %T Using Text Mining and Link Analysis for Software Mining %U http://dx.doi.org/10.1007/978-3-540-68416-9_1 %X Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current state-of-the-art bundle there is a lack of “software mining” techniques.This term denotes the process of extracting knowledge out of source code. In this paper we approach the software mining taskwith a combination of text mining and link analysis techniques. We discuss how each instance (i.e. a programming constructsuch as a class or a method) can be converted into a feature vector that combines the information about how the instance isinterlinked with other instances, and the information about its (textual) content. The so-obtained feature vectors serve asthe basis for the construction of the domain ontology with OntoGen, an existing system for semi-automatic data-driven ontologyconstruction.

@article{GrcarEtal2008_TMLAfSWM, abstract = {Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current state-of-the-art bundle there is a lack of “software mining” techniques.This term denotes the process of extracting knowledge out of source code. In this paper we approach the software mining taskwith a combination of text mining and link analysis techniques. We discuss how each instance (i.e. a programming constructsuch as a class or a method) can be converted into a feature vector that combines the information about how the instance isinterlinked with other instances, and the information about its (textual) content. The so-obtained feature vectors serve asthe basis for the construction of the domain ontology with OntoGen, an existing system for semi-automatic data-driven ontologyconstruction.}, added-at = {2009-04-29T14:00:43.000+0200}, author = {Grcar, Miha and Grobelnik, Marko and Mladenic, Dunja}, biburl = {https://www.bibsonomy.org/bibtex/26965d9d393e3e555fe54ae758c181b75/puavous}, description = {SpringerLink - Book Chapter}, interhash = {bc5dccd9199bce3cd23732587b05c528}, intrahash = {6965d9d393e3e555fe54ae758c181b75}, journal = {Mining Complex Data}, keywords = {imported}, pages = {1--12}, timestamp = {2009-04-29T14:00:43.000+0200}, title = {Using Text Mining and Link Analysis for Software Mining}, url = {http://dx.doi.org/10.1007/978-3-540-68416-9_1}, year = 2008 }