@article{KarydisKSAK2020,
	title = {Multimedia Content's Brokerage: An Information System Based on LeSiM},
	year = {2020},
	author= {Karydis, Ioannis
	and Kanavos, Andreas
	and Sioutas, Spyros
	and Avlonitis, Markos
	and Karacapilidis, Nikos},
	note = {http://users.ionio.gr/~karydis/my_papers/KarydisKSAK2020 - Multimedia Content's Brokerage - An Information System based on LeSiM.pdf},
	url = {https://www.igi-global.com/article/multimedia-contents-brokerage/247938},
	journal = {International Journal of E-Services and Mobile Applications (IJESMA)},
	abstract = {Metadata-based similarity measurement is far from obsolete nowadays, despite research's focus on content and context-based information. It allows for aggregating information from textual references, measuring similarity when content is not available, traditional keyword searches in search engines, merging results in meta-search engines, etc. Existing similarity measures do not take into consideration neither the unique nature of multimedia metadata nor the requirements of metadata-based information retrieval of multimedia. This work presents a commonly available author-title multimedia metadata hybrid similarity measure customised that has been shown to be experimentally significantly more effective than baseline measures. In addition, the work presents an architecture and a web-based implementation of an information system for data collection and validation by expert users that allows distributed, binary and scalar result ground-truth definition for a similarity measurement that can be used in digital content's identification and sales.},
	keywords = {Collection & Validation; Expert Input; Information System; Multimedia; Metadata; Similarity Measure; Lexical Similarity; Author-Title},
	doi = {10.4018/IJESMA.2020040103},
	VOLUME = {12},
	NUMBER = {2},
	pages={40--58},
	publisher={IGI Global}
}