Multilinguality in ontologies has become an impending need for institutions worldwide with valuable linguistic resources in different natural languages. Since most ontologies are developed in one language, obtaining multilingual ontologies implies to localize or adapt them to a concrete language and culture community. As the adaptation of the ontology conceptualization demands considerable efforts, we propose to modify the ontology terminological layer, and provide a model called Linguistic Information Repository (LIR) that associated to the ontology meta-model allows terminological layer localization.

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The Design of a Universal Basic Dictionary of Contemporary Polish

Modelling Multilinguality in Ontologies

To resolve some of lexical disagreement problems between queries and FAQs, we propose a reliable FAQ retrieval system using query log clustering. On indexing time, the proposed system clusters the logs of users' queries into predefined FAQ categories. To increase the precision and the recall rate of clustering, the proposed system adopts a new similarity measure using a machine readable dictionary. On searching time, the proposed system calculates the similarities between users' queries and each cluster in order to smooth FAQs. By virtue of the cluster-based retrieval technique, the proposed system could partially bridge lexical chasms between queries and FAQs. In addition, the proposed system outperforms the traditional information retrieval systems in FAQ retrieval.

High-performance FAQ retrieval using an automatic clustering method of query logs

To obtain high performances, previous works on FAQ retrieval used high-level knowledge bases or handcrafted rules. However, it is a time and effort consuming job to construct these knowledge bases and rules whenever application domains are changed. To overcome this problem, we propose a high-performance FAQ retrieval system only using users' query logs as knowledge sources. During indexing time, the proposed system efficiently clusters users' query logs using classification techniques based on latent semantic analysis. During retrieval time, the proposed system smoothes FAQs using the query log clusters. In the experiment, the proposed system outperformed the conventional information retrieval systems in FAQ retrieval. Based on various experiments, we found that the proposed system could alleviate critical lexical disagreement problems in short document retrieval. In addition, we believe that the proposed system is more practical and reliable than the previous FAQ retrieval systems because it uses only data-driven methods without high-level knowledge sources.

A reliable FAQ retrieval system using a query log classification technique based on latent semantic analysis

In this paper I will present a database of 1500 Polish verbs compiled by a group of my students at Warsaw University in 1988–90. Each entry of this database gives, among other things, full syntactic information on the lexical unit it describes. The empirical investigations have provided, as a kind of by-product, some statistical data, which, I hope, may be of interest to those who deal with quantitative linguistics. They are also important to a lexicographer who has usually no intuition concerning the systemic or textual frequency of various grammatical phenomena.

Verb Patterns in the Polish Vocabulary and Texts

IoT devices now come in all shapes and forms. IoT is everywhere, from our mobile devices to cars. These devices help to perform various tasks from providing locations for navigation purposes, to detecting a heartbeat inside a locked car to notify parents or pet owners that they have left their child or pet inside the car and need attention. The latter example is not possible only with IoT devices; they need algorithms and systems to detect these heartbeats, and this is facilitated by Artificial Intelligence (AI). We will be working with Artificial Intelligence of Things (AIoT), a combination of Artificial Intelligence and IoT.

The Design of a Universal Basic Dictionary of Contemporary Polish

Citations

Modelling Multilinguality in Ontologies

High-performance FAQ retrieval using an automatic clustering method of query logs

A reliable FAQ retrieval system using a query log classification technique based on latent semantic analysis

Verb Patterns in the Polish Vocabulary and Texts

Multilingual Semantic Representation of Smart Connected World Data

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