Logo PTI
Polish Information Processing Society
Logo FedCSIS

Annals of Computer Science and Information Systems, Volume 2

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems

Semantic sentence structure search engine

, ,

DOI: http://dx.doi.org/10.15439/2014F343

Citation: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 2, pages 255259 ()

Full text

Abstract. Many of current web search engines rely on inverted index-based data structures as document information store. Since and inverted index is a map from individual document words to their respective locations, such data structure destructs semantic links between the words, and thus does not support structural user queries. In other words, such systems can only find the documents that contain user-specified words. In this paper we propose to create semantic links between the terms contained in inverted index, and in such way create a semantic network. This network will preserve the internal structure of the stored documents, and will enable the users to perform structural queries. Both structural-saving indexation and structural user search query allow to save semantic speech meaning of the text while search process.