You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Patent retrieval: a literature review 
Chapter Title:  Technology licensing 
1. Abstract of Cited Paper (BIB001):  Intellectual Properties (IP), such as patents and trademarks, are one of the most critical assets in today’s enterprises and research organizations. They represent the core innovation and differentiators of an organization. When leveraged effectively, they not only protect freedom of action, but also generate significant opportunities in licensing, execution, long term research and innovation. In this paper, we expand upon a previous paper describing a solution called SIMPLE, which mines large corpus of patents and scientific literature for insights. In this paper we focus on the interactive analytics aspects of SIMPLE, which allow the analyst to explore large unstructured information collections containing mixed information in a dynamic way. We use real-world case studies to demonstrate the effectiveness of interactive analytics in SIMPLE. 
2. Abstract of Cited Paper (BIB002):  Abstract Exploratory Analytics is the process of analyzing data for the purpose of forming hypotheses. Patent data sets, because they are relatively large and diverse and because they consist of a mixture of structured and unstructured information present a formidable challenge and a great opportunity in applying exploratory analytics techniques. In this paper we describe methods we have implemented for effective exploratory analytics on patent data sets using an interactive approach and a web based software tool called SIMPLE. We use real-world case studies to demonstrate the effectiveness of our exploratory analytics approach in the discovery of useful information from the patent corpus.

Literature Review:
Patents represent one of the most valuable assets in today's enterprises which, if leveraged effectively, guarantee not only competitive superiority, but also huge licensing revenues BIB001 . The technology licensing task is three-sided. First, patent owners would be interested in finding potential licensees with reasonable effort. Second, licensees would like to find relevant inventions to their businesses. Third, owners and businesses would be interested in gauging the strategic and protection values of a patent in order to support their pricing and offering decisions. While there is not much research focusing on automatically recommending potential licensees, the task of recommending patents to be licensed was relatively more considered. Chen et al. BIB001 proposed a platform called SIMPLE which is used at IBM to identify target patents for licensing. Given a set of topic patents, SIMPLE uses nearest neighbor similarity to find other patents that are most similar to the given topic set. Then, all the patents are grouped and proposed as one licensing package to interested party. The platform was extended in Spangler et al. BIB002 to allow retrieving target patents using free-text search. We can notice that current trends for identifying potential patents for licensing model the problem as a PR task. More elaboration on the SIMPLE platform was introduced by Spangler et al. BIB003 using interactive visualization. First, portfolios of two companies are contrasted to find content overlap between both of them using proximal search. Then, the closest patents to the overlap area are recommended as candidates for licensing.