Читать книгу Biomedical Data Mining for Information Retrieval - Группа авторов - Страница 32

Information Extraction (IE) is an important and growing field, in part because of the development of ubiquitous social media networking millions of people and producing huge collections of textual information. Mined information is being used in a wide array of application areas from targeted marketing of products to intelligence gathering for military, and security needs. IE has its roots in AI (Artificial Intelligence) fields including machine learning, logic and search algorithms, computational linguistics, and pattern recognition. IE can be used for taking out information which is useful from the data which may be unstructured or semi-structured. Nowadays a lot of data is pouring in making the process of information extraction extremely difficult. Such big data gives rise to unstructured data which may be multi-dimensional, which further complicates the problem. Thus, computational capabilities equipped with the tools of AI is acting as a game changer helping to deal with large amounts of unstructured data which has an advantage over traditional IE systems having improved computational capabilities. In this context neural and adaptive computing might play a very important role. These have been discussed in the later part of the chapter.