KIM Semantic Text Management System

The KIM System is a semantic text management system produced by OntoText AD.

• Context:
  • It includes an Ontology-based Semantic Annotation System, for text data curation.
  • It includes a Semantic Text Search System.
  • It support Information Extraction.
  • It uses the PROTON Ontology.
  • A demo is available as an Online Service: KIM Service.
  • …
• Counter-Example(s):
  • OntoText OWLIM System.
  • SOLR System.
  • a GATE ANNIE System.
• See: SemTag System.

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References

2013

• http://www.ontotext.com/kim/in-a-nutshell
  • KIM is a platform for semantic annotation and multi-paradigm search over documents, data, and knowledge.

    Off-the-shelf you get extraction of people, locations, organizations, dates, money, and others; a semantic index of your content, and many new ways to search and explore you information space.

  • KIM comes with
    • a pre-loaded ontology and a knowledge base of important entities (people, organizations, …)
    • text mining capabilities - to find entities of several types
    • tools - to upload and annotate new content.
    • user interfaces - to search and navigate your data and content
    • documentation and training
    • free (mail list) and commercial support packages
    • freedom to change the ontology, text mining algorithms, and user interfaces
  • KIM is offered in three profiles
    • A platform similar in purpose and usage to the KM systems;
    • A 3rd party extension bundled with larger KM products (the OEM model);
    • A SaaS/ PaaS, provided remotely with no installation and maintenance efforts.
  • KIM is based on
    • GATE text engineering for the masses: the best open-source text analysis framework
    • OWLIM the fastest semantic database of our times

2009

• http://www.ontotext.com/kim/
  • The KIM Platform: Knowledge & Information Management

    A public KIM server is available at http://kim.sirma.bg/KIM/. Although reasonable efforts are being made to maintain these servers available for demonstration purposes, those are neither intended nor reliable enough for production use.

     KIM is a software platform for:

    • Semantic annotation of text.
      • At more length: automatic ontology population and open-domain dynamic semantic annotation of unstructured and semi-structured content for Semantic Web and KM applications.
    • Indexing and retrieval (semantically-enabled and IE-enhanced search technology)
    • Query and exploration of formal knowledge
    • Co-occurrence tracking and ranking of entities
    • Entity popularity timelines analysis
  • KIM includes:
    • PROTON, KIMSO, KIMLO and KIM World KB;
    • KIM Server – with API for remote access and integration;
    • Front-ends: KIM Web UI and Plug-in for Internet Explorer.

2006

• (Hassell et al., 2006) ⇒ Joseph Hassell, Boanerges Aleman-Meza, and I. Budak Arpinar. (2006). “Ontology-driven automatic entity disambiguation in unstructured text.” In: Proceedings of the 5th International Semantic Web Conference (ISWC). doi:10.1007/11926078
  • KIM is an application that aims to be an automatic ontology population system that runs over text documents to provide content for the Semantic Web [17]. The KIM platform has many components that are unrelated to our work but within these components, there is an entity recognition portion. KIM disambiguates entities within a document by using a natural language processor and then attempts to index these entities. The evaluation of the KIM system is done by comparing the results to human-annotated corpora, much like our method of evaluation.

2004

• (Popov et al., 2004) ⇒ Borislav Popov, Atanas Kiryakov, Damyan Ognyanoff, Dimitar Manov, Angel Kirilov. (2004). “KIM - A Semantic Platform For Information Extraction and Retrieval.” In: Journal of Natural Language Engineering, 10. doi:10.1017/S135132490400347X
  • ABSTRACT: The KIM platform provides a novel Knowledge and Information Management framework and services for automatic semantic annotation, indexing, and retrieval of documents. It provides a mature and semantically enabled infrastructure for scalable and customizable information extraction (IE) as well as annotation and document management, based on GATE. 1 Our understanding is that a system for semantic annotation should be based upon a simple model of real-world entity concepts, complemented with quasi-exhaustive instance knowledge. To ensure efficiency, easy sharing, and reusability of the metadata we introduce an upper-level ontology. Based on the ontology, a large-scale instance base of entity descriptions is maintained. The knowledge resources involved are handled by use of state-of-the-art Semantic Web technology and standards, including RDF(S) repositories, ontology middleware and reasoning. From a technical point of view, the platform allows KIM-based applications to use it for automatic semantic annotation, for content retrieval based on semantic queries, and for semantic repository access. As a framework, KIM also allows various IE modules, semantic repositories and information retrieval engines to be plugged into it. This paper presents the KIM platform, with an emphasis on its architecture, interfaces, front-ends, and other technical issues.

2003

• (Popov et al., 2003) ⇒ Borislav Popov, Atanas Kiryakov, Damyan Ognyanoff, Dimitar Manov, Angel Kirilov, and Damyan Goranov, (2003). “KIM - Semantic Annotation Platform.” In: Proceedings of the 2nd International Semantic Web Conference.
• The KIM Platform: Semantic Annotation. http://web.archive.org/web/20031023174432/http://ontotext.com/kim/semanticannotation.html
  • We consider semantic annotations this: The information what entities appear where in a text. Actually, the references from the text to a semantic repository with further knowledge.
  • Annotation:
    • Annotation has two meanings in the contemporary English (according to WordNet, similar in Merriam-Webster):
      • note, annotation, notation: a comment (usually added to a text);
      • annotation, annotating -- the act of adding notes.
    • In the linguistics (and particularly in the computational one) annotation is considered a formal note added to specific part of the text. There are number of alternatives regarding the organization, structuring, and preservation of annotations. For instance, all the markup languages (HTML, SGML, XML, etc.) can be considered as a schemata for embedded annotation. Contrary there are models suggesting that the annotations should be kept detached (non-embedded) from the content, i.e.
  • Semantic Annotations
    • We refer to semantic annotation in the same time as (i) sort of meta-data and (ii) the process of generation of such meta-data.

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