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From-scratch name disambiguation is an essential task for establishing a reliable foundation for academic platforms. It involves partitioning documents authored by identically named individuals into groups representing distinct real-life experts. ...

Name ambiguity is a prevalent problem in scholarly publications due to the unprecedented growth of digital libraries and number of researchers. An author is identified by their name in the absence of a unique identifier. The documents of an author are ...

Name authority is a common issue in digital library. This paper mainly summarizes the practice of constructing name authority database based on multi-source data in NSTL. Firstly, we load, integrate different source data and convert them into unified ...

The aim of this poster is to analyze name authority control in two Institutional Repositories (IRs) to determine the extent to which faculty researchers are represented in researcher identifier databases. A purposive sample of 50 faculty authors from ...

AMiner 1 is a free online academic search and mining system, having collected more than 130,000,000 researcher profiles and over 200,000,000 papers from multiple publication databases [25].

In this paper, we present the implementation and deployment of ...

In real-world, our DNA is unique but many people share names. This phenomenon often causes erroneous aggregation of documents of multiple persons who are namesake of one another. Such mistakes deteriorate the performance of document retrieval, web ...

The aim of this poster is to demonstrate the importance of adequate metadata in ORCID profiles to ensure name disambiguation. It is only through more complete metadata that ORCID will ensure success in terms of interoperability with institutional ...

Inventor name disambiguation is the task that distinguishes each unique inventor from all other inventor records in a patent database. This task is essential for processing person name queries in order to get information related to a specific inventor, ...

The automatic authority control problem is considered. One possible solution is to use the record linkage approach for authority and bibliographic records. The main aim of this paper is to figure out which concepts and methods are most useful for ...

We analyzed historical and literary documents in Chinese to gain insights into research issues, and overview our studies which utilized four different sources of text materials in this paper. We investigated the history of concepts and transliterated ...

While many clustering techniques have been successfully applied to the person name disambiguation problem, most do not address two main practical issues: allowing constraints to be added to the clustering process, and allowing the data to be added ...

We present a distributed academic search and mining system? AMiner-mini. The system offers intra- and inter- university level academic search and mining services. It integrates academic data from multiple sources and performs disambiguation for people ...

Author name disambiguation has been one of the hardest problems faced by digital libraries since their early days. Historically, supervised solutions have empirically outperformed those based on heuristics, but with the burden of having to rely on ...

Name disambiguation is a challenging and important problem in many domains, such as digital libraries, social media management and people search systems. Traditional methods, based on direct assignment using supervised machine learning techniques, seem ...

Author name ambiguity is a frequently encountered problem in digital publication libraries such as Microsoft Academic Search. The cause of this problem mostly is that different authors may publish under the same name, while the same author could publish ...

Entity disambiguation is an important step in many information retrieval applications. This paper proposes new research for entity disambiguation with the focus of name disambiguation in digital libraries. In particular, pairwise similarity is first ...

This paper presents a new name disambiguation method that exploits user feedback on ambiguous references across iterations. An unsupervised step is used to define pure training samples, and a hybrid supervised step is employed to learn a classification ...

As scholarly data increases rapidly, scholarly digital libraries, supplying publication data through convenient online interfaces, become popular and important tools for researchers. Researchers use SDLs for various purposes, including searching the ...

Author name ambiguity has been a long-standing problem which impairs the accuracy of publication retrieval and bibliometric methods. Most of the existing disambiguation methods are built on similarity measures, e.g., "Jaccard Coefficient", between two ...

With the rapid growing of Web 2.0, people spend more time on social networks such as Facebook and Twitter. In order to know the people they are interacting with, finding the web appearances of them will help the social network users to a great extent. ...