%0 Conference Paper %1 10.1007/978-3-031-48316-5_3 %A Shahania, Saijal %A Spiliopoulou, Myra %A Broneske, David %B Information Integration and Web Intelligence: 25th International Conference, IiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings %C Berlin, Heidelberg %D 2023 %I Springer-Verlag %K Web_Scraping myown Job_Ads from:kmd-ovgu Heterogeneous_Information %P 20–26 %R 10.1007/978-3-031-48316-5_3 %T WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage %U https://doi.org/10.1007/978-3-031-48316-5_3 %X Extracting information from diverse websites is increasingly important, especially for analyzing vast data sets to detect trends, gain insights. By studying job ads, researchers can monitor employer demand shifts, assisting policymakers in aiding affected workers and industries. However, extraction faces challenges like varied website formats, dynamic content, and duplicate data. This study introduces a method for extracting data from diverse private university websites involving keyword identification, website categorization, and extraction pipelines. %@ 978-3-031-48315-8

@inproceedings{10.1007/978-3-031-48316-5_3, abstract = {Extracting information from diverse websites is increasingly important, especially for analyzing vast data sets to detect trends, gain insights. By studying job ads, researchers can monitor employer demand shifts, assisting policymakers in aiding affected workers and industries. However, extraction faces challenges like varied website formats, dynamic content, and duplicate data. This study introduces a method for extracting data from diverse private university websites involving keyword identification, website categorization, and extraction pipelines.}, added-at = {2024-09-05T17:29:44.000+0200}, address = {Berlin, Heidelberg}, author = {Shahania, Saijal and Spiliopoulou, Myra and Broneske, David}, biburl = {https://www.bibsonomy.org/bibtex/24d057070ad914e491b0476f35d653f11/kmd-ovgu}, booktitle = {Information Integration and Web Intelligence: 25th International Conference, IiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings}, doi = {10.1007/978-3-031-48316-5_3}, interhash = {2fb69d51adab52dda47adfc44957be23}, intrahash = {4d057070ad914e491b0476f35d653f11}, isbn = {978-3-031-48315-8}, keywords = {Web_Scraping myown Job_Ads from:kmd-ovgu Heterogeneous_Information}, location = {Denpasar, Indonesia}, numpages = {7}, pages = {20–26}, publisher = {Springer-Verlag}, timestamp = {2024-09-05T17:29:44.000+0200}, title = {WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage}, url = {https://doi.org/10.1007/978-3-031-48316-5_3}, year = 2023 }