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Natural Language-based User Interface for Knowledge Management System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Monteleone, Mario Buono, Maria Pia Di Marano, Federica |
| Copyright Year | 2013 |
| Abstract | This research wants to show how it is possible to convert natural language (NL) queries into formal semantic ones, by means of a procedure which allows to semi-automatically map natural language to formal language. More specifically, focusing on voice and/or keyboard-based natural language user interfaces, this research wants to explain how to simplify and improve human-computer natural language interaction and communication. Also, in a more wide perspective, it wants to individuate a method for the creation of Natural Language Processing (NLP) applications finalized to the achievement of Question-Answering (QA). The NLP activities sketched in this research fall inside Lexicon-Grammar (LG) theoretical and practical framework, which is one of the most consistent methods for natural language formalization, automatic textual analysis and parsing. This framework is independent from those factors that are crucial within other approaches, as those concerning the interaction type (voice or keyboard-based), the length of sentences and propositions, the type of vocabulary used, and the restrictions due to users’ idiolects. Another feature is the possibility to process unstructured, semi-structured or structured information retrievable from either knowledge management system (KMS) or on-line repository, also considering that all other approaches mainly use interfaces which dialogue with structured data. This approach allows to overcome users' limits about domain ontology knowledge, and to define relationships between search terms to be considered. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.semantic-web-journal.net/system/files/swj483.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |