Thai Succession and Family Law Ontology Building Using Ant Colony Algorithm

  • Vi-sit Boonchom
  • Nuanwan Soonthornphisaj
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6284)


Ontology building is a tedious job and a time consuming task for user. The quality of ontology plays an important role in information retrieval application. Therefore, we need the expertise from law users to extract their knowledge in term of ontology structure. To overcome these difficulties, we develop an algorithm using ant colony to automatically extends a seed ontology that was initially created by law expert. Two seed ontologies are constructed by experts which are succession law and family law ontology. These seed ontologies can be extended using Supreme Court sentences as a corpus. We used 2 datasets from civil Supreme Court sentences, which are succession law and family law.

Our ontologies are embedded with weight values that are the product of pheromone updating process of ant colony. We investigate the experimental results and found that the weighted ontology provides significant improvement on the retrieval process. Furthermore, the size of our ontologies obtained from TLOE is suitable since their retrieval performances are acceptable by users.


Ontology Building Ontology Expansion Legal Thai Law Ant Colony Algorithm 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Perez, A.G., Rodriguez, F.O., Terrazas, B.V.: Legal Ontologies for the Spanish e-Government. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds.) CAEPIA 2005. LNCS (LNAI), vol. 4177, pp. 301–310. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Henze, N., Dolog, P., Nejdl, W.: Reasoning and Ontologies for Personalized E-learning in the Semantic Web. Educational Technology & Society 7(4), 82–98 (2004)Google Scholar
  3. 3.
    Benjamins, V.R., Contreras, J., Casanovas, P., Ayuso, M., Becue, M., Lemus, L., Urios, C.,: Ontologies of Profesional Legal Knowledge as the Basic for Intelligent IT Support for Judges. Artificial Intelligence and Law 12, 359–378 (2006)CrossRefGoogle Scholar
  4. 4.
    Abachizadeh, M., Tahani, M.: An Ant Colony Optimization Approach to Multi-objective Optimal Design of Symmetric Hybrid Laminates for Maximum Fundamental Frequency and Minimum Cost. Springer Struct. Multidisc. Optim. 37, 367–376 (2009)CrossRefGoogle Scholar
  5. 5.
    Corcho, O., Lopez, M.F., Perez, A.G., Cima, A.L.: Building Legal Ontologies with Methontology and WebODE. Law and the Semantic Web, 142–157 (2005)Google Scholar
  6. 6.
    Kayed, A.: Building e-Laws Ontology: New Approach. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM-WS 2005. LNCS, vol. 3762, pp. 826–835. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. 7.
    Soonhee, H., Youngim, J., Aesun, Y., Kwon, H.C.: Building Korean Classifier Ontology Based on Korean WordNet. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2006. LNCS (LNAI), vol. 4188, pp. 261–268. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. 8.
    Kurematsu, M., Yamaguch, T.: A Legal Ontology Refinement Support Environment Using a Machine-Readable Dictionary. Artificial Intelligence and Law 5, 119–137 (1997)CrossRefGoogle Scholar
  9. 9.
    Zhang, X., Xia, G.: A Methodology for Domain Ontology Construction Based on Chinese Technology Documents. Research and Prcatice Issue of Enterprise Information Systems II 2, 1301–1310 (2007)Google Scholar
  10. 10.
    Hu, H., Du, X.: Building Bilingual Ontology from WordNet and Chinese Classified Thesaurus. In: Zhang, Z., Siekmann, J.H. (eds.) KSEM 2007. LNCS (LNAI), vol. 4798, pp. 649–654. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  11. 11.
    Despres, S., Szulman, S.: TERMINAE Method and Integration Process for Legal Ontology Building. In: Ali, M., Dapoigny, R. (eds.) IEA/AIE 2006. LNCS (LNAI), vol. 4031, pp. 1014–1023. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Boonchom, V., Soonthornphisaj, N.: Thai Succession Law Ontology Building Using Ant Colony Algorithm. In: Proceeding of the Third International Workshop on Juris-informatics (JURISIN), pp. 27–37. Campus Innovation Center, Tokyo (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Vi-sit Boonchom
    • 1
  • Nuanwan Soonthornphisaj
    • 1
  1. 1.Department of Computer Science, Faculty of ScienceKasetsart UniversityBangkokThailand

Personalised recommendations