EVELIN: Exploration of Event and Entity Links in Implicit Networks

نویسندگان

  • Andreas Spitz
  • Satya Almasian
  • Michael Gertz
چکیده

Implicit networks that describe latent entity relations have been demonstrated to be valuable tools in information retrieval, knowledge extraction, and search in document collections. While such implicit relations offer less insight into the types of connection between entities than traditional knowledge bases, they are much easier to extract from unstructured textual sources. Furthermore, they allow the derivation of relationship strength between entities that can be used to identify and leverage important co-mentions, based on which complex constructs of semantically related entities can be assembled with ease. One example of such implicit networks are LOAD graphs, which encode the textual proximity of location-, organization-, actor-, and date-mentions in document collections for the exploration, identification and summarization of events and entity relations. Here, we present EVELIN as a graphical, web-based interface for the exploration of such implicit networks of entities on the example of a large-scale network constructed from the English Wikipedia. The interface is available for online use at http://evelin.ifi.uni-heidelberg.de/.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Toward an exploration of follower's implicit followership theories of Mashhad's large organizations using a qualitative approach

Followership is a developing paradigm in organizational behavior which focusesmainly on followers. The goal of this study is to explore follower’s implicitfollowership theories (IFTs) which entail an analysis of follower’s views andperception about followership. For this purpose, based on a phenomenologicalapproach, semi-structured interviews with employees of large public and privateorganizati...

متن کامل

Entropy-based Serviceability Assessment of Water Distribution Networks, Subjected to Natural and Man-Made Hazards

In this study a modified entropy-based measure is presented for evaluating the serviceability level of water distribution networks in which the hydraulic uncertainties (flow rates in pipes) as well as the uncertainties due to mechanical parameters (failure probabilities of links) are considered simultaneously. In the proposed entropy calculation method, the connectivity order of the network dem...

متن کامل

On the effect of low-quality node observation on learning over incremental adaptive networks

In this paper, we study the impact of low-quality node on the performance of incremental least mean square (ILMS) adaptive networks. Adaptive networks involve many nodes with adaptation and learning capabilities. Low-quality mode in the performance of a node in a practical sensor network is modeled by the observation of pure noise (its observation noise) that leads to an unreliable measurement....

متن کامل

پیشگویی پیوند در شبکه های اجتماعی با استفاده از ترکیب دسته بندی کننده ها

Abstract Link prediction in social networks is one of the most important activities in analysis of such networks. The importance of link prediction in social networks is due to its dynamic nature. While members and their relationships (links) in such networks are continuously increasing, links may be missed due to various reasons. By predicting such links, the possibility of extension, compl...

متن کامل

SemanTex: Semantic Text Exploration Using Document Links Implied by Conceptual Networks Extracted from the Texts

Despite of advances in digital document processing, exploration of implicit relationships within large amounts of textual resources can still be daunting. This is partly due to the ‘black-box’ nature of most current methods for computing links (i.e., similarities) between documents (c.f., [1] and [2]). The methods are mostly based on numeric computational models like vector spaces or probabilis...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017