Abstract. Our work is a contribution to the model-theoretic study of equality-free fuzzy predicate logics. We give a characterization of elementary equivalence in fuzzy predicate logics using elementary extensions and introduce an strengthening of this notion, the so-called strong elementary equivalence. Using the method of diagrams developed in [5] and elementary extensions we present a counte...

We developed a Web search system called " Cyclone " , which extracts high quality term descriptions and helps users to obtain encyclopedic knowledge efficiently. In the current implementation , multiple paragraph-style descriptions extracted from different Web pages are presented in response to a user keyword. However, to obtain sufficient information for a single keyword, a user usually has to...

The performance of keyword search systems depends heavily on the quality of confidence scores. In this work, a novel discriminative score calibration method has been proposed. By training an MLP classifier employing the word posterior probability and several novel normalized scores, we can obtain a relative improvement of 4.67% for the actual term-weighted value (ATWV) metric on the OpenKWS15 d...

Entity relation extraction is mainly focused on researching extraction approaches and improving precision of the extraction results. Although many efforts have been made on this field, there still exist some problems. In order to improve the performance of extracting entity relation, we propose a tuple refinement method based on relationship keyword extension. Firstly, we utilize the diversity ...

Twitter is a microblog service that generates a huge amount of textual content daily. All this content needs to be explored by means of text mining, natural language processing, information retrieval, and other techniques. In this context, automatic keyword extraction is a task of great usefulness. A fundamental step in text mining techniques consists of building a model for text representation...

Abstract. We study the spelling suggestion problem for keyword search on XML documents. To address the problems in existing work, we propose a distance-based approach to suggesting meaningful query candidates for an issued query. Our approach uses distance to measure the relationship between keyword matching nodes, and ranks a candidate higher if there are closely-related nodes in the database ...

Search engines, such as Google, keep a log of searches entered into their websites. Google makes this data publicly available with Google Trends in the form of aggregate weekly search term volume. Aggregate search volume has been shown to be able to nowcast (i.e. compute real-time assessment of current activity) a variety of variables such as influenza outbreaks, financial market fluctuations, ...

With the currently growing interest in the Semantic Web, metadata is becoming to play an important role in the Web. As one of forthcoming metadata standards for the Semantic Web, FOAF defines an RDF vocabulary for expressing metadata about people and the relation between people. In this paper we propose the novel keyword extraction method to extract FOAF metadata from the Web. The proposed meth...

The study proposed the method of keyword enhanced Web structure mining which combines the ideas of Web content mining with Web structure mining. The method was used to mine data on business competition among a group of DSLAM companies. Specifically, the keyword DSLAM was incorporated into queries that searched for co-links between pairs of company Websites. The resulting co-link matrix was anal...

This paper describes Peking University’s approach to the Ad Hoc Track. In our first participation, results for all four tasks were submitted: the Best In Context, the Focused, the Relevance In Context and the Thorough. Based on retrieval method Okapi BM25, we implement two different ranking methods NormalBM25 and LearningBM25 according to different parameter settings. Specially, the parameters ...