Collaborative semantic editing of linked data lexica
نویسندگان
چکیده
The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources collaboratively created by non-linguists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely lemon, the resulting data could be better understandable to machines. We then present a platform called lemon source that supports the creation of linked lexical data along the lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.
منابع مشابه
Ontology Lexicalization as a core task in a language-enhanced Semantic Web
In order to provide language-based access to the growing amount of knowledge published in Semantic Web formalisms, e.g. as part of the so called Linked (Open) Data cloud, ontologies and vocabularies used to describe data need to be enriched with information about how classes and properties modeled therein can be expressed linguistically, also in different languages. In this talk I will discuss ...
متن کاملTools and Instruments for Building and Querying Diachronic Computational Lexica
This article describes work on enabling the addition of temporal information to senses of words in linguistic linked open data lexica based on the lemonDia model. Our contribution in this article is twofold. On the one hand, we demonstrate how lemonDia enables the querying of diachronic lexical datasets using OWL-oriented Semantic Web based technologies. On the other hand, we present a prelimin...
متن کاملSexTant: Visualizing Time-Evolving Linked Geospatial Data
We present SexTant, a Web-based system for the visualization and exploration of time-evolving linked geospatial data and the creation, sharing, and collaborative editing of “temporally-enriched” thematic maps which are produced by combining different sources of such data.
متن کاملCollaborative Output Tasks and their Effects on Learning English Comparative Adjectives
This study aimed to examine the effect of two types of collaborative output tasks on Iranian EFL learners’ comparative adjectives with two or more syllables. Thirty Iranian EFL learners participated in this study which were then divided into two experimental and one control groups; one experimental group received dictogloss task in 4-pairs and the other experimental group was given text reconst...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کامل