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When we consider our CV, it is full of entities that we are or wereassociated with and that define us in some way(s). Such entities include wherewe studied, where we worked, who we collaborated with on a project or on apaper etc. Entities we are linked to are part of who we are and may revealabout what we are interested in. Hence, we can view any CV as a graph ofinterlinked entities, where nodes are entities and edges are relations betweenthem. This study proposes a novel entity search framework that in response to areal-time query about an entity, searches, crawls, analyzes and consolidatesrelevant information that is freely available on the Web about the entity ofinterest, culminating in the generation a profile of the searched entity.Unlike typical entity search settings, in which a ranked list of entitiesrelated to the target entity over a pre-specified relation is processed, wepresent and visualize rich information about the entity of interest as a typedentity-relation graph without an apriori definition of the types of relatedentities and relations. This view is structured and compact, making it easy tounderstand as well as interpret. It enables the user to learn not only aboutthe entity in question, but also about related entities, thereby obtaining abetter understanding of the entity in question. We evaluated each of theframeworks components separately and then performed an overall evaluation ofthe framework, its visualization and the interest of users in the results. Theresults show that the proposed framework performs entity searches, relatedentity identification and relation identification very well and that itsatisfies users needs.

Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information