Ontologies and Information Extraction

This report argues that, even in the simplest cases, IE is an ontology-driven process. It is not a mere text filtering method based on simple pattern matching and keywords, because the extracted pieces of texts are interpreted with respect to a predefined partial domain model. This report shows that depending on the nature and the depth of the interpretation to be done for extracting the information, more or less knowledge must be involved. This report is mainly illustrated in biology, a domain in which there are critical needs for content-based exploration of the scientific literature and which becomes a major application domain for IE

Extracting, investigating and representing geographical concepts in Herodotus: the case of the Black Sea

In a short break from his preparations for the invasion of Scythia, Darius stops off where the Bosporus was bridged and sails to the Dark Rocks, apparently retracing the steps of the Argonauts.1 ‘There’, Herodotus reports, ‘he sat on the headland and viewed the Pontus, a wonderful sight’ (έζόμενος δέ έπί ρίω έθηεĩτο τόν Πόντον έόντα άξιοθέητον 4. 85. 1).2 In this paper, we aim to bring that wonderful sight to life using the latest digital technology, and to set out some of the ways in which the world that Herodotus describes can now be represented. At the same time, however, we will be concerned to show the potential of digital technologies for opening up new lines of enquiry, in particular the investigation of the ‘deep’ topological structures that underpin the Histories. After all, the Persian king is not the only figure to take an interest in the Pontus as a geographical concept: the historian too shows an interest in the Black Sea by extensively mapping the region and its place in the world, both before and after this episode (4. 37-45; 4. 99-101). The way that Herodotus articulates this space himself, which frames, and to a certain extent pre-empts, Darius’ invasion of Scythia, will be the concern of this paper

Towards the ontology-based approach for factual information matching

Factual information is information based on facts or relating to facts. The reliability of automatically extracted facts is the main problem of processing factual information. The fact retrieval system remains one of the most effective tools for identifying the information for decision-making. In this work, we explore how can natural language processing methods and problem domain ontology help to check contradictions and mismatches in facts automatically

Extracting causal relationships from Chinese written text

Expert systems form one of the most important research areas in Artificial Intelligence. The main parts in expert systems are knowledge bases and inference engines. In the knowledge bases the main knowledge is knowledge in the form of ``IF-THEN" statements. In knowledge graphs, a new form of knowledge representation, the ``IF-THEN" statements are tied up with causal operators (CAU-relations). In this paper, we picked out some Chinese operators with ``CAU" meaning, and investigated these operators. We also show by an example how to extract causal relations from a given Chinese writing text