Authority flow techniques like PageRank and ObjectRank can provide personalized ranking of typed entity-relationship graphs. There are two main ways to personalize authority flow ranking: Nodebased personalization, where authority originates from a set of userspecific nodes; Edge-based personalization, where the importance of different edge types is user-specific. We propose for the first time ...

Todays web search engines try to offer services for finding various information in addition to simple web pages, like showing locations or answering simple fact queries. Understanding the association of named entities and documents is one of the key steps towards such semantic search tasks. This paper addresses the ranking of entities and models it in a graph-based relevance propagation framewo...

Entity search has emerged as an important research topic over the past years, but so far has only been addressed in a centralized setting. In this paper we present an attempt to solve the task of ad-hoc entity retrieval in a cooperative distributed environment. We propose a new collection ranking and selection method for entity search, called AENN. The key underlying idea is that a lean, name-b...

Semi-structured entity-relation (ER) data graphs have diverse node and edge types representing entities (paper, person, company) and relations (wrote, works for). In addition, nodes contain text snippets. Extending from vector-space information retrieval, we wish to automatically learn ranking function for searching such typed graphs. User input is in the form of a partial preference order betw...

A large fraction of online queries target entities. For this reason, Search Engine Result Pages (SERPs) increasingly contain information about the searched entities such as pictures, short summaries, related entities, and factual information. A key facet that is often displayed on the SERPs and that is instrumental for many applications is the entity type. However, an entity is usually not asso...

An entity can be referred by multiple name aliases on the web. Extracting aliases of an entity is important for various tasks such as identification of relations among entities, automatic metadata extraction and entity disambiguation. To extract relations among entities properly, one must first identify those entities. Aliases of an entity are useful as metadata for that entity and can be used ...

Trivia is any fact about an entity which is interesting due to its unusualness, uniqueness, unexpectedness or weirdness. In this paper, we propose a novel approach for mining entity trivia from their Wikipedia pages. Given an entity, our system extracts relevant sentences from its Wikipedia page and produces a list of sentences ranked based on their interestingness as trivia. At the heart of ou...

Modeling and naming general entity-entity relationships is challenging in construction of social networks. Given a seed denoting a person name, we utilize Google search engine, NER (Named Entity Recognizer) parser, and CODC (Co-Occurrence Double Check) formula to construct an evolving social network. For each entity pair in the network, we try to label their categories and relationships. Firstl...

We present two methods for entity linking in two of our systems submitted to TAC-KBP 2012. The first one, implemented in JVNTDT1 system, learns coherence among cooccurrence entities referred to within a text by exploiting Wikipedia’s link structure and the second one, implemented in JVN_TDT2 system, combines some heuristics with a statistical model, for entity linking. The method implemented in...

This paper presents a brief survey of the current efforts in the Semantic Web literature with respect to the three research topics of Linked Data, semantic search and search interfaces. First we give a basic overview about Linked Data, discussing the concepts, principles and examples of relevant initiatives such as Linked Open Data (LOD). Second we review current and relevant work on semantic s...